Skip to main content
Oxford University Press - PMC COVID-19 Collection logoLink to Oxford University Press - PMC COVID-19 Collection
. 2020 Oct 26:ciaa1654. doi: 10.1093/cid/ciaa1654

COVID-19—Lessons Learned and Questions Remaining

Ferric C Fang 1,, Constance A Benson 2, Carlos del Rio 3, Kathryn M Edwards 4, Vance G Fowler Jr 5, David N Fredricks 6, Ajit P Limaye 1, Barbara E Murray 7, Susanna Naggie 5, Peter G Pappas 8, Robin Patel 9, David L Paterson 10, David A Pegues 11, William A Petri Jr 12, Robert T Schooley 2
PMCID: PMC7797746  PMID: 33104186

Abstract

In this article, the editors of Clinical Infectious Diseases review some of the most important lessons they have learned about the epidemiology, clinical features, diagnosis, treatment and prevention of SARS-CoV-2 infection and identify essential questions about COVID-19 that remain to be answered.


This article reviews important lessons learned to this day, October 15, 2020, about the epidemiology, clinical virology, presentation, complications, diagnosis, treatment and prevention of SARS-CoV-2 infection and identifies essential questions about the COVID-19 pandemic that remain to be answered.


“You will draw from your errors the very lessons which may enable you to avoid their repetition.”

- Sir William Osler, Aequanimatus

In January 2020, the World Health Organization announced a Chinese outbreak of a respiratory illness caused by a novel coronavirus. Since that time the COVID-19 pandemic has caused more than 38 000 000 infections and 1 000 000 deaths worldwide [1], with no end yet in sight. This has been paralleled by an explosion of the biomedical literature relating to SARS-CoV-2 and COVID-19, with more than 64 000 papers at the time of this writing. Clinical Infectious Diseases has received a considerable share of these manuscripts, with over 4500 COVID-19-related papers submitted to the journal in the first nine months of 2020, representing more than the total number of submissions the journal ordinarily receives in an entire year, and more than 500 papers published thus far. Clinicians and researchers battling SARS-CoV-2 are finding it challenging to surf the COVID literature tsunami. In this overview, the CID Editors distill several of the most important and surprising lessons that they have learned thus far during the pandemic (Table 1) and identify some of the most important unanswered questions moving forward (Table 2).

Table 1.

COVID-19: Lessons Learned

Epidemiology
• Presymptomatic transmission plays an important role in community spread.
• 10–20% of individuals may be responsible for 80% of transmission.
• Short range aerosol transmission is an important route of spread, and longer-range transmission can occur in closed, poorly-ventilated spaces.
• Racial and socioeconomic disparities in illness are similar those seen in the HIV pandemic.
Virology
• Type I interferon responses play a critical role during early infection.
Clinical
• Age, sex and comorbidities have a major impact on disease severity and mortality.
• Children have generally mild illness but rarely can develop an immune-mediated Multisystem Inflammatory Syndrome (MIS-C).
• Severe illness with respiratory failure is associated with a proinflammatory immune dysregulation that includes a robust type 2 response.
• Inflammatory vascular and thromboembolic complications are frequently encountered in severe infections.
Diagnosis
• Nucleic acid amplification tests to detect viral RNA are recommended for diagnosis.
• Sensitivity of diagnostic tests can depend on specimen and assay type and is time-dependent.
• Antibody responses may be short-lived, particularly in mild or asymptomatic infections.
• IgM and IgG appear at approximately the same time.
• Biomarkers can predict disease progression and complications.
Treatment
• Large coordinated multicenter randomized clinical trials are superior to observational studies or small fragmented trials to assess novel therapies.
• Hydroxychloroquine appears to be ineffective.
• Remdesivir can shorten illness duration if given early.
• Corticosteroids are beneficial in critically ill patients requiring mechanical ventilation.
• Early superinfections are uncommon but late infections, including invasive pulmonary aspergillosis, are a risk in critically ill patients.
Prevention
• Vaccines are being rapidly developed and tested.
• Universal face mask use can reduce the efficiency of transmission.
• Health care workers are at risk but can be protected by appropriate PPE.

Table 2.

COVID-19: Questions Remaining

Epidemiology
• How can superspreader events be avoided?
• Why do infection rates and severity vary so widely among individuals and countries?
• Why are global COVID-19 mortality rates falling?
Virology
• Does viral diversity influence illness severity?
• Can early administration of agents such as vitamin D, famotidine or interferon prevent infection or arrest disease progression?
• What is the impact of prior exposure to endemic seasonal coronaviruses?
Clinical
• What are late complications and how can they be managed and/or prevented?
Treatment
• What is the treatment for mild disease?
• When should antifungal prophylaxis be considered?
• Is there a role for immunomodulatory agents in addition to corticosteroids?
• How should the timing of immunomodulatory interventions be optimized?
• Is convalescent plasma beneficial?
• What is the role and optimal dosing of anticoagulant therapy?
Diagnosis
• What is the accuracy of antigen compared to viral RNA testing?
• What are the correlates and durability of protective immunity?
Prevention
• Can effective vaccines and other targeted immunotherapeutics be found?
• Does low-level viral exposure lead to protective immunity?
• How can communities reopen and resume essential activities without incurring new waves of epidemic spread?
• Can upgrading ventilation systems in businesses and schools facilitate reopening?

EPIDEMIOLOGY

Asymptomatic/Presymptomatic Transmission and Superspreading

Many COVID-19 infections are asymptomatic or only mildly symptomatic, and SARS-CoV-2 is frequently transmitted by infected individuals before they develop symptoms [2]. In fact, patients with COVID-19 are most contagious 1–2 days prior to the onset of symptoms [3]. One reason may be the ability of the virus to dampen the initial interferon-dependent innate immune response [4, 5], which ordinarily coincides with symptom onset in many viral infections. Asymptomatic or presymptomatic transmission has complicated efforts to identify cases and prevent spread. Tracing chains of transmission in well-defined COVID-19 outbreaks in regions without previous widespread community transmission has provided direct evidence of presymptomatic and asymptomatic viral spread [6]. Asymptomatic individuals often shed large quantities of virus in their respiratory secretions [7], and modeling studies have determined the usual incubation period of COVID-19 to exceed the serial interval between symptom onset in index and secondary cases, indicative of presymptomatic transmission [3, 8]. As observed during the SARS and MERS epidemics, episodic “superspreader events” are often associated with explosive COVID-19 transmission [9]. Epidemiologists estimate that as few as 10% of infected persons are responsible for 80% of SARS-CoV-2 transmission [10], suggesting that recognition and prevention of events at high-risk for superspreading can have a major impact on limiting the epidemic. Analysis of superspreader events in settings as diverse as choir rehearsals, call centers, nightclubs or research conferences have suggested common features to be avoided: closed poorly-ventilated indoor spaces, crowds, and close contact (the “three C’s”) [11–15]. A synthesis of current data suggests that exposure risk can be estimated on the basis of ventilation, density, face coverings, exposure duration and activity [16].

Airborne versus Droplet Spread

Perhaps the biggest surprise about the issue of airborne spread of SARS CoV-2 is that it has been surprising to so many people. From the beginning of the epidemic, the ability of the virus to spread from person to person has been regularly downplayed by public health officials despite clear evidence of exceptional transmissibility, from the initial explosive spread in Wuhan to its rapid dissemination across China and to the rest of the world. A key lesson learned from this pandemic is that the distinction between “droplet” and “aerosol” spread is a false dichotomy that is inconsistent with contemporary knowledge about respiratory aerosols [17, 18]. Aerobiologists have demonstrated that particles produced in the human respiratory tract represent a continuum of sizes [19, 20].

In general, larger droplets are derived from the nasopharynx, and aerosols emerge from deeper in the lungs, including the alveoli. Larger particles are heavier and contain larger volumes and thus are less likely to hang in the air and traverse long distances. The distribution of infectious virus among larger and smaller particles is likely to be influenced by where a virus predominantly replicates. Replication of seasonal influenza (generally Influenza A H1N1 or H3N2) occurs primarily in the upper airway because of the preference of the viral hemagglutinin for 2,6-linked sialic acid receptors that dominate the nasopharynx [21], whereas as COVID-19 progresses, SARS CoV-2 preferentially replicates deeper in the lungs where its favored ACE-2 receptors predominate [22]. H1N1 and H3N2 influenza A strains cause mainly upper tract disease and spread when people sneeze and cough and expel larger droplets produced in the upper airway over short distances. In contrast, SARS CoV-2 replicates to high titers in the lungs [23] and is shed in the smaller aerosols with the air produced in breathing, talking, singing and shouting (in order of increasing magnitude) [24]. Large and small particles are both present in high quantities close to the mouth and nose of a person who is talking, and both can transmit pathogens at these distances. As one moves farther from the source, the concentration of larger and smaller particles each decline as a function of distance, but the concentration of larger particles falls more steeply because of the effects of gravity [19]. Pathogen transmission rates are inversely proportional to distance from the source whether a pathogen is carried by large or small droplets, as both are concentrated closest to the source. Interpretations of transmission data have frequently misunderstood this relationship and assumed that the relationship between distance and transmission implies the involvement of large droplets.

In the case of SARS CoV-2, virus is present in the full size range of exhaled particles, but most of it is likely to be carried in the more numerous smaller particles that originate where the greatest amount of virus is produced. Small particles may remain airborne for 30 minutes or more and can easily travel distances greater than 6 feet [17, 25]. The likelihood of infection becomes a function of the quantity of virus being produced by the source patient, distance from the source, ambient air flow and whether the producer and potential recipients of the virus are wearing face masks [19, 26, 27]. Smaller particles are much more likely to accumulate in enclosed places with poor air flow and to be transmitted where people are not wearing masks – hence providing a simple explanation for the clear epidemiological evidence that crowded bars, restaurants and gyms favor viral outbreaks and suggesting engineering interventions to reduce the risk of spread [28].

A single SARS-CoV-2-infected person talking normally can exhale millions of SARS CoV-2 viral genome equivalents every hour [29]. Like SARS-CoV, spread of SARS-CoV-2 from inadequate sewage systems is another potential, albeit uncommon, route of airborne transmission [30–32]. Outlier events in which many people have been infected, such as the infamous Skagit Valley Chorale cluster or the distant windborne spread of the virus wafting from untreated sewage, are thankfully infrequent but nevertheless provide a clear public health demonstration of what aerosol scientists have been telling us: “It is time to address airborne transmission of COVID-19” [33].

Comparisons with HIV

Almost 40 years ago the first cases of what we now know as HIV/AIDS were reported [34]. Since then the disease has become a major global pandemic that has infected about 76 million people with around 33 million having died. HIV defined the careers of a generation of infectious disease and HIV specialists and taught the importance of research, community engagement and politics in the response to any pandemic [35]. The first appearance of HIV generated concern about possible acquisition by health care workers in the workplace, just as COVID-19 does now. As we now confront COVID-19, there are many similarities and lessons from HIV, although the uniformly grim prognosis during the early years of the HIV/AIDS pandemic is an obvious difference.

One of the most important similarities is that SARS-CoV-2, like HIV, disproportionately affects racial and ethnic minorities and those who are marginalized and made more vulnerable by society. Published data thus far suggest that the risk of COVID-19 infection and its attendant severe complications in people with HIV is mostly attributable to underlying socioeconomic conditions and comorbidities [36]. Lowering the excess prevalence of comorbid conditions such as obesity, diabetes and hypertension in minority populations [37] should be a public health priority. Higher rates of SARS-CoV-2 infection seen across all age groups rather than differences in age-adjusted case-fatality rates suggest that a primary cause of racial disparity in COVID-19 may be differences in household, community and workplace exposure [37, 38], although biological factors may also be contributory [39].

As with COVID-19, test availability to identify infected individuals was also a major concern early in the HIV epidemic [40], as was uncertainty regarding potential routes of transmission [41]. In general, people living with HIV who are on effective antiretroviral therapy have similar risks and outcomes for COVID-19 compared to people without HIV. However, studies from some regions such as the Western Cape in South Africa suggest that HIV may increase the risk of death from COVID-19 [42].

Global Responses

Since the first case of COVID-19 emerged in China, many millions of people have been infected in countries as distant as the United States, Brazil, India and the Russian Federation, exemplifying the global nature of this pandemic. Only a small number of Pacific Island nations have not yet reported cases. Public health responses have been highly variable, even within individual countries. At one extreme, in New Zealand, initial cases were clearly associated with acquisition overseas and subsequent importation into the country. In that setting, attempts were made to completely eliminate the infection from the population by extremely strict border control [43–45]. However, even with this intervention, cases of unknown origin have arisen, leading to isolated community transmission. At the other extreme, in the setting of poor testing availability and overcrowding, some parts of Africa and South America have seen rapid spread within communities that is unlikely to be controlled until herd immunity is achieved or an effective vaccine becomes available, although thus far the fatality rate has been lower in Africa than on other continents, possibly due to a low seeding rate, effective mitigation measures, youthful population, warm weather, and the influence of BCG immunization or endemic viral infections [46]. Most countries lie between these extremes, with interventions based on wide scale testing and partially effective measures such as quarantine, social distancing, wearing of face masks and varying degrees of contact tracing. In almost all studies a clear relationship has been found between increasing age and poor outcomes from the infection. In this context, nursing homes have faced a high burden of cross-transmission and high mortality [47]. First Nations people in developed countries have also represented a vulnerable group [48]. Future rollout of vaccination will need to be global and targeted to the highest risk populations in each individual country.

VIROLOGY

Host and Viral Determinants of Virulence

A striking feature of COVID-19 is the wide spectrum of clinical manifestations and severity, which vary by region and country [49]. The complexity of factors responsible for this variation has been challenging to unravel. Age, gender and the prevalence of comorbidities such as obesity, diabetes and cardiovascular disease are important risk factors for disease progression and poor outcomes [50, 51]. In addition to the disproportionate impact of COVID-19 on racial and ethnic minorities mentioned above, potential contributing factors include population density, nonpharmaceutical infection control measures, host genetics, viral genetics, and pre-existing immunity.

Case incidence and fatality rates per capita are approximately 10-fold higher in U.S. counties in the top population density decile compared to those in the lowest quartile [52]. The potential for younger persons to transmit SARS-CoV-2 to older family members living in multigenerational households is a concern, although a clear relationship between COVID-19 fatality rates and intergenerational relationships has not yet been shown [53]. Non-pharmaceutical measures, in particular social distancing, can clearly have a major impact on reproduction number (R0) [54]. Host factors are presently less well-defined, but intriguing recent observations have linked deficient type I interferon responses to coronavirus susceptibility [55, 56]; trials are in progress to determine whether the early administration of interferon can prevent disease progression. ABO blood type, HLA variants and vitamin D levels have also been suggested to influence host-viral interactions [57–60]. Randomized clinical trials will be required to determine whether agents such as vitamin D or famotidine that have been associated with improved outcomes in observational studies can ameliorate the clinical course of COVID-19 [60, 61]. Another intriguing observation is the presence of pre-existing cellular immune responses in approximately one-third of the population, possibly as a result of prior exposure to seasonal endemic coronaviruses [62]. Recent infection with endemic seasonal coronaviruses has been associated with a milder clinical course following SARS-CoV-2 infection [63]. However, it is possible that certain cross-reactive immune responses might be associated with immunopathology and more severe illness [64]. Perhaps least well understood is the contribution of viral variants. The D614G spike variant has become dominant as the pandemic has progressed, and also attains higher titers in culture and higher viral loads in patients [65]. Other variants have been associated with milder illness [66], and it remains to be seen whether differences in viral genotypes have an important influence on COVID-19 severity in individuals and communities.

Intriguingly, mortality rates from COVID-19 appear to be falling in multiple countries as the pandemic is continuing to evolve [67]. Although demographic changes, with more infections occurring in younger age groups, appear to be part of the explanation, other contributing factors may include testing rates, nonpharmaceutical interventions, pre-existing immunity, weather, improvements in management, and changes in circulating viral strains.

CLINICAL

Infections in Children

The clinical manifestations of SARS-CoV-2 infection in children are relatively benign, with 90% remaining completely asymptomatic or having mild-to-moderate disease [68–70]. The reasons for milder disease in children are presently unclear. Possible contributing factors include more robust early innate immune responses [71], cross-protection from seasonal coronavirus exposure, differences in ACE2 expression, nonspecific effects of vaccination and greater memory T-cell diversity [72, 73]. The mild course of COVID-19 is quite different from other respiratory illnesses in children, such as influenza and respiratory syncytial virus, which impact children more severely than adults and in which children are the major mediators of transmission. COVID-19 incidence in adolescents aged 12–17 years is approximately twice that in children aged 5–11 [74]. Children may transmit SARS-CoV-2 to other children and adults, but are not generally thought to play a major role in community spread. As in adults, higher rates of disease and hospitalization are seen in Hispanic and Black children in comparison to non-Hispanic White children [70]. Although the number of COVID-19-related pediatric hospitalizations remains low, one in three children who are hospitalized require admission to the Intensive Care Unit, similar to adult rates [70].

An uncommon but serious manifestation of pediatric COVID-19 disease is Multisystem Inflammatory Syndrome in Children (MIS-C), an acute inflammatory syndrome characterized by fever, rash, conjunctivitis, abdominal pain, shock, and cardiac dysfunction [75–86]. MIS-C is more common in older children (average 8–11 years) and generally presents between 2 to 4 weeks after SARS-CoV-2 infection, suggesting that it is a postinfectious immunologic phenomenon. A similar syndrome has been recently described in adults as well [87]. Treatment of MIS-C usually entails the administration of immunomodulatory agents such as high-dose intravenous immunoglobulin, corticosteroids, aspirin, or rarely more targeted anti-inflammatory medications [75–78, 83, 84, 86]. Most children with MIS-C recover completely, but some may exhibit long-lasting cardiac dysfunction.

Clinical Presentations

Following an incubation period that averages 5 days [88], cough, dyspnea and fever are the symptoms most frequently associated with COVID-19, but no symptoms are sufficiently sensitive nor specific to rule-in or rule-out the diagnosis [89]. Nevertheless, some differences in the usual presentation of influenza and COVID-19 have been observed. Influenza is more likely to exhibit an abrupt onset of upper respiratory tract symptoms, fever, sputum production and myalgias, while COVID-19 is more likely to be gradual in onset, with nonproductive cough, disturbances of taste or smell (dysgeusia and anosmia), diarrhea, and frontal or retro-orbital headache [90]. Disturbances of taste or smell are especially common in mild cases [91, 92]. Chilblain-like lesions (“COVID toes”) have been reported, but their relationship to COVID-19 is presently controversial [93]. The ability of SARS-CoV-2 to infect sustentacular cells of the olfactory epithelium has been suggested as an explanation for the frequent occurrence of anosmia and dysgeusia [94, 95]. Although primarily a respiratory tract infection, severe COVID-19 is characterized by multiorgan system involvement, and cardiac or renal injury are poor prognostic indicators [96, 97]. Prolonged gastrointestinal shedding has been observed in convalescent patients [98], but its importance in transmission has not yet been well defined. Hospitalized patients frequently report persistent fatigue, dyspnea and arthralgias for weeks after discharge, and further study is required to understand the frequency and nature of long-term complications [99–101].

Immune Dysregulation

A striking aspect of severe COVID-19 disease is the development of respiratory failure progressing over days to weeks with an increasing requirement for supplemental oxygen, peripheral patchy ground glass infiltrates on chest CT, and the frequent presence of pleuritic pain not often seen with other viral pneumonias. Plasma cytokine measurements provide evidence of immune dysregulation with the simultaneous activation of every arm of the immune system, including type 1, 2 and 3 responses. Although some have questioned characterizing the hyperinflammatory state of COVID-19 as a “cytokine storm” since IL-6 levels are less markedly elevated compared to sepsis [102], IL-6 levels ≥80 pg/ml are associated with a substantially increased risk of respiratory failure and death [103]. An alternative hypothesis suggests a central role for bradykinin in the inflammation and increased vascular permeability observed in COVID-19 [104]. Respiratory failure appears to be associated in particular with a type 2 immune response, typified by IL-13 production, which is higher in patients requiring mechanical ventilatory support [105]. Although type 2 immune responses are protective in the gut [106, 107], they are deleterious in the lung [108]. Eosinophils can cause alveolar damage and increase airway hyperreactivity, in part through goblet cell metaplasia, mucus hypersecretion, fibrosis and smooth muscle changes. IL-13 induces eosinophils to migrate to the lung via the induction of IL-5 and eotaxins [109, 110]. Therefore type 2 immunity may be contributing to the respiratory failure of patients with COVID-19. Studies in animal models have been initiated to determine whether type 2 immunity is causally related to respiratory failure associated with SARS-CoV-2. The presence of eosinophils, neutrophils and monocytes in alveoli support a pathogenic role of type 2 immunity [111]. Future research will determine whether the blockade of type 2 immunity can protect patients with COVID-19 from lung injury.

ARDS and Vasculopathy

One of the most serious complications of severe COVID-19 is the development of acute respiratory distress syndrome (ARDS) [112]. Diffuse alveolar damage, the characteristic pathologic correlate of ARDS, is a common finding in autopsy studies [113]. However, controversy has arisen over whether COVID-19 causes classical ARDS or a distinct form of lung injury requiring different treatment approaches [114, 115]. An emerging consensus is that the ARDS observed in COVID-19 is typical in many respects and usually responds to proven interventions for ARDS [116], but some patients have an unusually prominent component of an inflammatory vasculopathy that can result in occlusion of large and small pulmonary blood vessels and may require specific intervention [117–119]. Endotheliitis, complement activation, dysregulated inflammation, neutrophilic extracellular traps, autoantibodies and a hypercoagulable state may contribute to the development of COVID-associated vasculopathy [120–125]. Full dose heparin and even thrombolytic therapy have been used with some evidence of clinical benefit in patients with ongoing thrombosis but have yet to be proven effective in clinical trials [126, 127] (current guidelines favor LMW heparin to minimize staff exposure [128]). The discovery that cell surface glycans interact with the ACE2 viral receptor suggests that heparin may have an antiviral effect in addition to its anticoagulant actions [129]. Although heparin shifts the SARS-CoV-2 spike protein to an open conformation that binds ACE2, heparin competes with cell surface heparan sulfate and can block virus binding to cells [129].

Aspergillus Superinfections

Bacterial and fungal superinfections are generally uncommon in patients with COVID-19 [130], but can become more frequent with prolonged ICU stays and the administration of immunomodulatory agents [131]. Secondary invasive pulmonary aspergillosis (IPA) has been previously reported in patients with influenza and SARS pneumonia [132–134], and recent observations from China and multiple European countries suggest that secondary IPA is also encountered in patients with critical COVID-19 [135–140]. The reported incidence of COVID-associated pulmonary aspergillosis (CAPA) in critically ill patients varies (7–35%), with potential reasons including different diagnostic methods, diagnostic criteria, and patient populations. The radiographic diagnosis of IPA superimposed on viral pneumonia is challenging, and CT scans are difficult to obtain in critically ill patients, especially in those receiving extracorporeal membrane oxygenation. Reluctance to perform bronchoscopy due to infection control concerns and a lack of fungal antigen test availability in many centers may contribute to underrecognition [141]. Importantly, treating CAPA may result in lower mortality [135]. Many gaps currently exist in our understanding of CAPA, including the role of diagnostic sampling by nonbronchoscopic methods, the utility of antigen or nucleic acid amplification testing, and the potential use of antifungal prophylaxis. Immunologic risk factors for CAPA and the importance of hyperinflammation, immunosuppression and respiratory mucosal injury remain to be defined [142].

Immunocompromised Hosts and Solid Organ Transplant Recipients

The reported susceptibility of immunocompromised individuals to SARS-CoV-2 has been variable. Cancer patients who recently received chemotherapy may be at higher risk for severe illness, while outcomes in hematopoietic cell transplant recipients or patients receiving immunosuppressive agents are generally favorable, and outcomes in persons with HIV are largely dependent on other comorbidities [143–146]. The field of solid-organ transplantation (SOT) has been profoundly impacted by the COVID-19 pandemic, with a substantial reduction in the number of life-saving transplants performed during the initial phases of the pandemic [147]. This resulted from concerns about the general impact of the epidemic on health systems and specific concerns about the potential for higher morbidity and mortality in patients with SOT-associated immunosuppression, as seen with other respiratory viral infections, as well as the potential for SARS-CoV-2 to be transmitted via transplant. All of this has occurred in the context of regulatory guidance that SOT should be considered a tier 3b procedure, ie, a procedure that should not be delayed because the benefits significantly outweigh the risks [148]. The clinical manifestations of COVID-19 in SOT recipients are likely to reflect a balance between the consequences of calcineurin inhibitor effects on host pathways required for viral replication and impaired T cell activation and expansion [149, 150]. Several observations have emerged from cohort studies focusing on the clinical presentation and outcome of COVID-19 in SOT recipients. The frequency of certain clinical manifestations (fever, gastrointestinal symptoms) may differ in SOT patients, perhaps related to effects of immunosuppression [151–153]. Limited data suggest that the risks for acquisition and progression of infection to clinical symptoms may be higher than in the general population, related to behavioral factors such as more frequent contact with the healthcare system and biological factors such as co-morbidities and the effects of immunosuppression [151]. For patients requiring hospitalization due to COVID-19, short-term morbidity and mortality appear to be high and generally similar to non-SOT populations. Available evidence suggests that COVID-19-related mortality in SOT recipients is largely driven by underlying co-morbidities rather than by immunosuppression [151–153]. In fact, similar mortality despite higher comorbidities is seen in hospitalized SOT COVID patients, hinting at the possible modulation of illness severity by immunosuppression. This interesting possibility warrants further study. SOT recipients may be less likely to respond to vaccines and may require broader preventive strategies, including passive immunity and behavioral interventions to limit exposure.

DIAGNOSIS

Innovations in Diagnostics

Diagnostic testing has been front and center in the COVID-19 pandemic, and IDSA guidelines on SARS-CoV-2 viral RNA and antibody testing have been prepared and published in record time [154, 155]. Laboratory supply chain challenges have also been unprecedented, but are driving testing innovations that will hopefully facilitate COVID-19 control and also lead to improvements in other microbial diagnostics in the future. Viral RNA detection by nucleic acid amplification testing continues to play a central role in diagnosis, but imperfect sensitivity and prolonged shedding of RNA in the absence of viable virus require careful test interpretation [156–158]. Some assays exhibit differences in sensitivity [159]. Antigen tests may improve speed and accessibility of testing; however, their accuracy is incompletely defined in the published literature and will have to be carefully assessed in order to minimize any consequences of false-positive or -negative results [160, 161].

Nasopharyngeal viral shedding peaks shortly before the onset of symptoms and declines thereafter, making the timing of sampling relative to symptom onset an important determinant of test performance [3, 162]. Viral load in the lungs or plasma may be more reflective of disease progression [163]; the detection of viral RNA in plasma (“RNAemia”) correlates with more severe illness [164–168]. Some studies have correlated nasopharyngeal viral load at the time of presentation with clinical outcomes and the ability to isolate SARS-CoV-2 in culture [157, 169–173]. Viral load varies inversely with cycle threshold (Ct) or crossing point values measured in a quantitative real-time PCR assay. However, the accuracy and precision of current assays have not been validated with regard to quantitative interpretation, and Ct values may vary based on the quality of sample collection and between methods [174]. Although chest CT abnormalities may be evident in some patients with COVID-19 who have negative viral RNA tests [175], the positive predictive value of a viral RNA test is far superior to radiographic imaging [176].

Patient self-collection of respiratory tract specimens and the use of alternative samples such as mid-turbinate swabs, anterior nasal swabs, throat swabs and saliva may help to alleviate shortages of testing supplies and personal protective equipment [177, 178]. Easy-to-collect specimen types such as saliva, being used for the first time in clinical practice, provide convenience and cost advantages for mass screening [179]. Whether findings with SARS-CoV-2 will generalize to other infectious diseases in the future remains to be determined.

A variety of inflammatory biomarkers are predictive of COVID-19 progression and may be monitored and used to guide immunomodulatory therapy, including lymphopenia, the neutrophil-lymphocyte ratio (NLR), C-reactive protein (CRP), lactate dehydrogenase (LDH), ferritin, and IL-6 [103, 180]. SARS-CoV-2 serologic testing has revealed a few surprises. In contrast to most other viral infections in which IgM precedes the presence of IgG, SARS-CoV-2 IgM and IgG appear at approximately the same time, rendering IgM detection of questionable utility [155]. It is hoped that SARS-CoV-2 infection will confer protective immunity in most cases, but robust supporting clinical evidence is still awaited [181]. IgG and neutralizing antibodies may start to decline as early as the first three months following symptom onset in individuals with mild infections [182]. Laboratory correlates of protective immunity remain to be defined, including in specific populations (eg, newborns, the elderly, the immunocompromised) [155].

TREATMENT

Observational and Retrospective Studies

It was predictable that a pandemic caused by a novel pathogen would expose critical knowledge gaps ranging from transmission to disease complications, and from management to prevention. The scientific community has had to balance the need to fill these gaps as quickly as possible with limited quality evidence available in most early reports, unavoidably based on observational and often retrospective studies, with inherent limitations including small sample sizes, confounding, selection bias, inadequate controls, lack of blinding, uncertain generalizability and variable follow-up. Many early studies tested drugs that were readily available but accompanied by little or no in vitro evidence specifically relating to the susceptibility of SARS-CoV-2. As a result, much of the early COVID-19 treatment literature is of lower quality than the standard to which the clinical research community had become accustomed. All too often this has resulted in the publication of low quality evidence that is difficult to interpret. For example, after treatment of more than 20 000 individuals with convalescent plasma, considerable uncertainty remains as to whether it is beneficial and which patients are most likely to benefit [183, 184]. Editorial commentaries have played a critical role in helping to contextualize published data and its limitations.

Ultimately it is anticipated that preliminary results of smaller studies will give way to the results of larger, higher quality multicenter randomized controlled clinical trials. Hype, misinformation, and social and political pressures may have sometimes led to false hopes and hasty decisions. Several initial reports regarding the utility of hydroxychloroquine and the detrimental effects of corticosteroids turned out to be incorrect as the pandemic proceeded, and higher quality studies superseded earlier ones, necessitating the revision of treatment guidelines. Looking to the future, these experiences suggest that procedures to rapidly organize, fund and implement large clinical trials should be substantially improved. Federally funded rapid start-up networks to support pandemic research may play an important role in a time of crisis. The ACTT (Adaptive COVID-19 Treatment Trial) program provides a good example, in which innovative trial design led to an Emergency Use Authorization for remdesivir [185]. In the United Kingdom, a national effort to recruit into a single platform of trials (the “RECOVERY” trial) yielded practice-changing results on the roles of dexamethasone, hydroxychloroquine and lopinavir-ritonavir within months of the onset of the pandemic [186–188]. As we move into the next phase of COVID platform clinical trials, it will be critical to ensure the rapid dissemination of results and a resetting of expectations on the quality of evidence required to meet evolving standards.

Clinical Trials

The urgent need for high quality clinical trials to inform treatment and prevention has been all too clear during the COVID-19 pandemic. Approximately one-third of respondents in a recent CDC survey engaged in nonrecommended high-risk practices in the hope of preventing SARS-CoV-2 transmission, including the application of bleach to food and household disinfectants to skin, and inhalation or ingestion of cleaners and disinfectants [189]. Physicians, desperate to help their patients who were dying of COVID-19, also tried a variety of similarly unconventional therapies. As mentioned above, a plethora of retrospective case series reported survival benefit for a host of treatments. Some, such as lopinavir/ritonavir, were quickly shown to not provide benefit [190], while others such as hydroxychloroquine/chloroquine, persisted amidst significant controversy.

On March 28, 2020, the FDA granted Emergency Use Authorization (EUA) for hydroxychloroquine for the treatment of COVID-19-infected patients. However, in the ensuing months, a series of well-designed randomized controlled trials demonstrated that neither hydroxychloroquine nor chloroquine improved outcomes in hospitalized and nonhospitalized patients with COVID-19 infection [187, 191–194], nor reduced rates of COVID-19 infection when administered as postexposure prophylaxis following high-risk exposures to SARS-CoV-2 [195, 196]. In response, the FDA revoked the EUA for hydroxychloroquine on June 15, 2020 [197].

The RNA polymerase inhibitor remdesivir was also evaluated for the treatment of COVID-19. A multinational, randomized, double-blind, placebo-controlled trial in hospitalized patients with laboratory-confirmed SARS-CoV-2 infection found that remdesivir significantly reduced the median time to recovery compared to placebo (11 vs. 15 days; P < .001). This benefit was most pronounced in the subgroup of patients who required supplemental oxygen at the time of randomization. Although remdesivir appeared to confer a mortality benefit at day 14 in a post hoc analysis of this subgroup (HR for death 0.22; 95% CI: .08–.58), the mortality difference in the entire study cohort did not achieve statistical significance (7.1% remdesivir vs. 11.9% placebo, HR 0.70; 95% CI: .47–1.04) [185]. An industry-sponsored trial subsequently demonstrated that remdesivir treatment for either 5 or 10 days had similar clinical benefit among hospitalized COVID-19 patients not on mechanical ventilation [198]. Based upon these findings, the NIH and IDSA COVID-19 Treatment Guidelines Panels recommend using remdesivir for 5 days or until hospital discharge for patients with COVID-19 requiring supplemental oxygen without the need for a high-flow device, noninvasive ventilation, invasive mechanical ventilation, or ECMO [199, 200]. Whether remdesivir confers a mortality benefit is unknown [201, 202].

Most recently, the WHO made available the interim results of its SOLIDARITY trial [203]. Over 11 000 adults from over 400 hospitals in 30 countries who were hospitalized with COVID-19 were randomized to receive either remdesivir, hydroxychloroquine, lopinavir, interferon plus lopinavir, interferon only, or no study drug. The intent-to-treat primary analysis was in-hospital mortality in the four pairwise comparisons of each study drug vs. its control. In a preprint version of the manuscript that has not yet undergone peer-review, none of the regimens appeared to improve mortality, rates of progression to mechanical ventilation, or length of hospitalization. The hydroxychloroquine and lopinavir treatment arms were discontinued for futility on June 18 and July 4, 2020, respectively. These findings dampen prospects of repurposing existing antivirals to treat moderate-to-severe COVID, although the possibility that one or more of these agents may benefit subsets of patients remains a possibility, particularly during the early stages of infection when antiviral agents are most likely to be beneficial [204, 205].

Several clinical trials have evaluated interventions to attenuate the host immune response. Some host immunomodulatory strategies, such as the IL-6 receptor antagonists sarilumab and tocilizumab, have thus far not been proven to improve clinical outcomes in patients with severe COVID-19 [206, 207]. Although observational data suggest a possible mortality benefit, at the expense of an increased risk of secondary infection [131, 208], a reduction in mortality from IL-6 inhibition has not yet been demonstrated in randomized clinical trials. However, dexamethasone has been shown to confer a significant mortality benefit in a multicenter, open-label, adaptive randomized trial involving over 6400 hospitalized patients with severe COVID-19 infection. Patients receiving dexamethasone were significantly less likely to die within 28 days of enrollment than patients receiving standard of care (22.9% vs. 25.7%; age-adjusted rate ratio 0.83; 95% CI, .75–.93; P < .001) [186]. The benefits of dexamethasone were most apparent in hospitalized patients who were mechanically ventilated (29.3% dexamethasone vs. 41.4% standard of care; rate ratio 0.64; 95% CI, .51–.81), with no benefit observed in patients not requiring oxygen support. Other trials of immunomodulatory drugs are in progress, and it remains possible, if not likely, that some will be shown to be beneficial. Patient selection and the timing of therapy are likely to be important factors, as immunomodulation is a two-edged sword, and some agents have been found to reduce signs of inflammation but increase the likelihood of opportunistic superinfections.

As noted above, the COVID-19 pandemic has already led to advances in how clinical trials are conducted. Several studies have adopted ordinal scales of disease severity as a primary endpoint [185, 194, 198]. These scales can provide a more comprehensive representation of the patient experience and accommodate a superiority analysis of endpoints, which often reduces the required sample size. Several clinical trials groups have also successfully employed adaptive clinical trial design. Adaptive trials improve efficiency by simultaneously testing several treatments and allowing the addition of new trial arms based on emerging evidence. A final lesson re-learned from the COVID-19 pandemic is the importance of scientific rigor. Several studies have been underpowered due to inadequate enrollment [192, 209] or because the primary study endpoint was changed without a re-calculation of statistical power [194]. Such shortcomings limit confidence in the interpretation of study results. Nowhere is the need for scientific rigor more pressing than in the current and planned clinical trials to test vaccines for COVID-19, in part because of the need to ensure both efficacy and safety. The possibility of paradoxical adverse immunological effects from a SARS-CoV-2 vaccine is real and has been observed with other vaccines against dengue, Staphylococcus aureus and respiratory syncytial virus [210–212]. Reassuringly, the CEOs of nine companies with candidate COVID-19 vaccines in late stage clinical trials have announced a united commitment to uphold the integrity of the scientific process as they work towards approval of the first COVID-19 vaccines [213].

PREVENTION

Duration of Immunity and Implications for Vaccines

Virus-specific antibodies develop within 1 to 2 weeks after COVID-19 symptom onset, and levels of antibody to the SARS-CoV-2 spike domain correlate with a fall in plasma RNA levels and clinical recovery [165]. SARS-CoV-2-specific neutralizing antibodies target the receptor-binding domain (RBD) of the viral spike protein S1 subunit and compete with its binding to human angiotensin converting enzyme 2 (ACE2), thereby decreasing viral entry and subsequent replication [214, 215]. Pre-existing immunity to common seasonal human coronaviruses is associated with some cross reactivity to the SARS-CoV-2 spike and nucleocapsid proteins but does not confer neutralizing activity against SARS-CoV-2 in vitro [216]. In an observational study of 175 hospitalized adults with mild COVID-19 infection requiring hospitalization, neutralizing antibody responses varied considerably and correlated with sex, age, CRP levels and lower lymphocyte counts [217]. Levels of neutralizing antibody correlate with illness severity and decline within 2 months in a third or more of patients, suggesting that humoral immunity to SARS-CoV-2 can be short-lived [165, 218, 219]. However, a large, population-based study in Iceland found that more than 90% of persons were seropositive by two different pan-immunoglobulin (IgM, IgG, IgA) assays 2 months after recovery from COVID-19, and antibody levels remained stable for at least 4 months after recovery [220].

IgG antibodies against SARS-CoV-2 are unlikely to provide durable protective immunity against reinfection. Based on experience with endemic seasonal human coronaviruses (229E, OC43, NL63 and HKU1), for which re-infection may occur as soon as 90 days after infection onset, the possibility of SARS-CoV-2 re-infection has been anticipated [221]. As of eight months after the beginning of the pandemic, there have been at least five reported cases of reinfection with SARS-CoV-2 (Hong Kong, Nevada, Netherlands, Belgium, India). In the first report, re-infection with a phylogenetically distinct strain of SARS-CoV-2 was detected in a 33-year-old-man who was routinely screened on return from Europe 147 days following his initial COVID-19 infection [222]. This patient remained asymptomatic although he developed elevated CRP and IgG seroconversion, consistent with true re-infection. This anecdote suggests that pre-existing immunity may ameliorate the severity of re-infection, but also raises concern that herd immunity will not be adequate to eliminate ongoing SARS-CoV-2 circulation and that vaccines may be unable to provide long-term protection against COVID-19. Although serum antibody levels wane rapidly after infection, persons with asymptomatic or symptomatic COVID-19 infection develop SARS-CoV-2 specific memory B and T cell immunity that might provide protection against symptomatic or severe re-infection [223, 224]. Following mild infection, SARS-CoV-2-specific CD4+ T cells activate memory B cells to produce virus RBD-specific neutralizing antibodies [223]. SARS-CoV-2-specific CD8+ memory T cell responses are directed primarily to the S and M proteins, and the highest response frequencies are seen among those who have recovered from severe COVID-19 infection [225]. These CD8+ memory T cells produce effector cytokines (IFN-γ), and upon antigen reencounter, can expand and directly kill virus-infected cells [223, 225]. Similar B and T cell activation profiles have been observed after successful immunization and suggest that cellular immunity may mitigate the severity of COVID-19 re-infections [226]. However, much remains to be learned about SARS-CoV-2 immunity, and other observations have correlated CD4+ T cell responses with immunopathology.

It is hoped that an effective vaccine will play a key role in terminating the COVID-19 pandemic. Monoclonal antibodies are also under active investigation as targeted immunotherapeutics for both prevention and treatment of COVID-19 [227]. Monoclonal antibodies directed to non-overlapping epitopes of the SARS-CoV-2 spike protein have been shown to reduce viral load and ameliorate virus-induced pathology in primate and hamster models [228]. Emergency use authorization from the FDA has been applied for. Potential vaccine platforms include protein-based vaccines, inactivated whole virus and live attenuated viral vaccines, viral vector-based vaccines, and DNA- and RNA-based vaccines, and all are being developed simultaneously [229]. An analysis of 18 514 sequenced viral genomes found limited diversity and suggested that a single vaccine could cover currently circulating SARS-CoV-2 lineages [230]. Among the four structural proteins of SARS-CoV-2, the spike (S) protein receptor binding domain (RBD) is a target of neutralizing antibodies that interfere with RBD-ACE2 binding and is the primary focus of current vaccine development. Inactivated/killed or live attenuated vaccines have an advantage over novel vaccine platforms in utilizing existing manufacturing infrastructure and a greater potential to induce sustained immunity, but are likely to require more time and safety testing. Challenges with new vaccine platforms include reactogenicity (RNA), cold-storage requirements (RNA, DNA), delivery method (DNA), antigen integrity (protein) and antivector immunity, which can limit vaccine effectiveness [229]. Although antibody-dependent enhancement as seen in dengue is unlikely, animal tests of previous SARS and MERS vaccines have suggested the potential for vaccine-induced immunopathology, which will have to be monitored carefully [212]. The WHO list of vaccines under development was updated on September 28, 2020, and includes 40 vaccines in clinical evaluation and 151 in preclinical development [231]. As of September 2020, eleven candidate vaccines have entered into international Phase 3 clinical trials, including three inactivated whole virus vaccines, two mRNA vaccines, four replication-defective viral vectors, one protein-based vaccine and one BCG trial to assess its impact on COVID-19 infection. A two-dose (prime-boost) strategy with doses spaced 3–4 weeks apart will likely be needed to achieve protective immunity. The timeline for candidate vaccine approval and licensure is likely to stretch into 2021.

Protecting Health Care Workers

Health care workers are at increased risk for SARS-CoV-2 acquisition. One study of nearly 100 000 health care workers and more than 2 million nonhealth care workers found a 3.4-fold higher hazard ratio in health care workers after adjustment for testing rates [232]. However, although some health care workers have developed severe or fatal COVID-19 [233], several studies suggest that they are more likely to experience mild or subclinical illness [234], possibly due to the protective effects of personal protective equipment and universal masking in the hospital setting, which can reduce the concentration of viral inoculum reaching mucosal surfaces [235]. Although the infective dose in humans is not known, inoculum is a determinant of disease severity in COVID-19 animal models [236]. For comparison, the 50% infectious dose of SARS-CoV is estimated to be 280 viral particles [237, 238]. Break rooms and common work areas may be important sites of nosocomial transmission where PPE is removed and social distancing is inconsistently observed [239]. Not surprisingly, health care workers are exposed to SARS-CoV-2 in the community as well, and community transmission rates are reflected in the health care workforce [240]. Shortages of PPE have increased risk as well as worker stress, although the ability to sterilize and reuse N95 respirators has helped to alleviate shortages [241].

Recommendations for PPE use are evolving, and this has correlated with a reduction in COVID-19 infections in the health care workforce over time [242]. Although increasing evidence suggests that short-range airborne spread is the predominant route of SARS-CoV-2 transmission, medical/surgical masks used for droplet precautions appear to be nearly as effective as N95 respirators [243], which are more effective at blocking micron-sized aerosols. Although this is often misinterpreted as evidence against airborne spread, the reason may be that medical or surgical masks have fairly high effectiveness in blocking aerosols in the supermicron size range [244]. A graded approach to prevention that balances exposure risk, provider tolerability and PPE availability is now advocated [245].

Reopening Safely

After gaining control of local SARS-CoV-2 spread by social distancing and other nonpharmaceutical interventions, many communities are now grappling with the challenge of reopening safely while the viral threat remains. Growing awareness of settings in which superspreading events are most likely to occur (see above) form the basis of a gradual resumption of lower risk activities while continuing to restrict high-density close contact in poorly-ventilated indoor settings [246]. The recognition of airborne transmission should focus greater attention on upgrading ventilation systems in businesses and schools to allow safe reopening [247, 248]. Once ongoing transmission is sustained at a low level, rapid contact tracing, testing and isolation assume an important role, requiring a substantial investment in local public health and laboratory resources. However, contact tracing efforts can easily become overwhelmed as transmission rates accelerate [249]. The use of masking and PPE in public and health care settings is essential. Although fomites are no longer thought to play a major role in SARS-CoV-2 transmission [250], the ability of SARS-CoV-2 to survive for hours on human skin or environmental surfaces [25, 251, 252] underscores the continuing importance of hand hygiene and environmental decontamination.

Thus far, the most successful outcomes have been achieved by countries that have rigorously enforced a broad range of nonpharmaceutical interventions until community transmission rates reach an reproduction number (R0) < 1, or surrogate measures such as a local test positivity rate <1–2% have been achieved [253]. The initial R0 for SARS-CoV-2 was estimated to be 2.5, comparable to that of SARS-CoV and the 1918 influenza pandemic, and higher than that of MERS-CoV (R0 0.9) and the 2009 H1N1 influenza pandemic (R0 1.5) [254]. However, limitations of the R0 as a guide to COVID-19 prevention must be noted. Superspreader events illustrate that methods to calculate R0 are imprecise [255, 256] and fail to represent the heterogeneity of transmission within a population [9]. It remains to be seen how effectively communities will be able to control transmission rates with targeted interventions without resorting to recurrent lockdowns as new waves of infection occur [257]. Many believe that an effective vaccine will be necessary to truly end the pandemic, although experience with the HIV pandemic suggests that highly effective treatment and prophylactic measures might be able to accomplish a similar outcome (although this may be more challenging for a respiratory virus capable of airborne spread). Some countries such as Taiwan and New Zealand have largely been able to re-open their economies and resume many normal activities by continuing to enforce some control measures even in the absence of an effective treatment or vaccine, while the U.S. has unfortunately learned the consequences of inconsistently applied public health measures, leading to recurring waves of new infections and deaths. Examples of best practices for safely re-opening schools, places of employment, and local businesses and venues are increasingly reported but may depend on local socioeconomic and sociocultural factors for successful implementation [258, 259].

Since COVID-19 emerged in China in late 2019, we have been humbled by its unique features and devastating consequences. Although this is by no means a comprehensive review, we are grateful for the opportunity to share some of what we have learned as we look to the future in the hope that this terrible pandemic can soon be brought to an end.

Notes

Acknowledgments. No external funding was used to support this work.

Potential conflicts of interest. C. B. reports research contract to her institution from Gilead; DSMB chair fees from GlaxoSmithKline; advisory board fees from ViiV; personal fees from IDSA; and speaking honoraria from IAS-USA, outside the submitted work. C. R. is coPI of the Emory Vaccine and Treatment Evaluation Unit (VTEU), outside the submitted work. K. E. reports grants from CDC and NIH; consultant fees from Merck, Bio-NET, and IBM; and DSMB fees from Sanofi, X-4 Pharma, Sequirus, Moderna, and Pfizer, outside the submitted work. F. F. reports personal fees from BioFire, Cepheid, and IDSA, and non-financial support from BioFire and Cepheid, outside the submitted work. V. F. reports personal consultancy fees from Novartis, Novadigm, Durata, Debiopharm, Genentech, Achaogen, Affinium, Medicines Co., Cerexa, Tetraphase, Trius, MedImmune, Bayer, Theravance, Basilea, Affinergy, Janssen, xBiotech, Contrafect, Regeneron, Basilea, Destiny, Amphliphi Biosciences. Integrated Biotherapeutics; C3J, Armata, and Valanbio; grants to his institution from NIH, MedImmune, Cerexa/Forest/Actavis/Allergan, Pfizer, Advanced Liquid Logics, Theravance, Novartis, Cubist/Merck; Medical Biosurfaces; Locus; Affinergy; Contrafect; Karius; Genentech, Regeneron, Basilea, and Janssen; educational fees from Green Cross, Cubist, Cerexa, Durata, Theravance, and Debiopharm; royalties from UpToDate; stock options from Valanbio; and a patent pending for sepsis diagnostics; outside the submitted work. B. M. reports personal fees as Professor & Director, Division of Infectious Diseases from The University of Texas Medical School at Houston; grants from Paratek and Intralityx; Royalties for UpToDate online chapters from Wolter Kluwer; and research grants to her institution from Cubist/Merck, outside the submitted work. S. N. reports stock options from Vir Bio; and grants from Gilead Sciences, AbbVie, and Janssen, outside the submitted work. Dr Patel reports grants from Merck, ContraFect, TenNor Therapeutics Limited and Shionogi. Dr Patel is a consultant to Curetis, Specific Technologies, Next Gen Diagnostics, PathoQuest, Selux Diagnostics, 1928 Diagnostics, PhAST, and Qvella; monies are paid to Mayo Clinic. Dr Patel is also a consultant to Netflix. In addition, Dr Patel has a patent on Bordetella pertussis/parapertussis PCR issued, a patent on a device/method for sonication with royalties paid by Samsung to Mayo Clinic, and a patent on an anti-biofilm substance issued. Dr Patel receives an editor’s stipend from IDSA, and honoraria from the NBME, Up-to-Date and the Infectious Diseases Board Review Course. D. Paterson reports grants and personal fees from Merck, Spero, Pfizer, Shionogi, Biomerieux, and Accelerate, and personal fees from Sumitomo, outside the submitted work. W. P. reports grants from Regeneron during the conduct of the study; grants from NIH and Gates Foundation; consulting fees from TechLab and Perrigo; DSMB from Syneos; and a patent pending for Role of anti-IL-13 and dupilumab in treatment of COVID-19, outside the submitted work. R. S. reports stock options from Arcturus Therapeutics and DMC Chair for Merck during the conduct of the study; personal fees from Sempra Energy and Pfizer; personal fees and stock options from CytoDyn; SAB member payments from Gilead Sciences; and a patent pending for discovery of orally potent, bioavailable anti-coronavirus compounds, outside the submitted work. All other authors report no potential conflicts. All authors have submitted the ICMJE Form for Disclosure of Potential Conflicts of Interest. Conflicts that the editors consider relevant to the content of the manuscript have been disclosed.

References

  • 1. Johns Hopkins University Coronavirus Resource Center. COVID-19 dashboard. Available at: https://coronavirus.jhu.edu/map.html. Accessed 26 September 2020. [Google Scholar]
  • 2. Furukawa NW, Brooks JT, Sobel J. Evidence supporting transmission of severe acute respiratory syndrome Coronavirus 2 while presymptomatic or asymptomatic. Emerg Infect Dis  2020; 26. doi: 10.3201/eid2607.201595. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3. He X, Lau EHY, Wu P, et al.  Temporal dynamics in viral shedding and transmissibility of COVID-19. Nat Med  2020; 26:672–5. [DOI] [PubMed] [Google Scholar]
  • 4. Lei X, Dong X, Ma R, et al.  Activation and evasion of type I interferon responses by SARS-CoV-2. Nat Commun  2020; 11:3810. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5. Chu H, Chan JF, Wang Y, et al.  Comparative replication and immune activation profiles of SARS-CoV-2 and SARS-CoV in human lungs: an ex vivo study with implications for the pathogenesis of COVID-19. Clin Infect Dis  2020; 71:1400–9. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6. Wei WE, Li Z, Chiew CJ, Yong SE, Toh MP, Lee VJ. presymptomatic transmission of SARS-CoV-2 - Singapore, January 23-March 16, 2020. MMWR Morb Mortal Wkly Rep  2020; 69:411–5. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7. Kimball A, Hatfield KM, Arons M, et al.  Asymptomatic and presymptomatic SARS-CoV-2 infections in residents of a long-term care skilled nursing facility - King County, Washington, March 2020. MMWR Morb Mortal Wkly Rep  2020; 69:377–81. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8. Tindale LC, Stockdale JE, Coombe M, et al.  Evidence for transmission of COVID-19 prior to symptom onset. Elife  2020; 9. doi: 10.7554/eLife.57149. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9. Frieden TR, Lee CT. Identifying and interrupting superspreading events-implications for control of severe acute respiratory syndrome Coronavirus 2. Emerg Infect Dis  2020; 26:1059–66. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10. Endo A, Centre FTMMOIDCOVID-1WG, Abbott S, Kucharski AJ, Funk S. Estimating the overdispersion in COVID-19 transmission using outbreak sizes outside China. Wellcome Open Res  2020; 5:67. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11. Hamner L, Dubbel P, Capron I, et al.  High SARS-CoV-2 attack rate following exposure at a choir practice - Skagit County, Washington, March 2020. MMWR Morb Mortal Wkly Rep  2020; 69:606–10. [DOI] [PubMed] [Google Scholar]
  • 12. Lemieux J, Siddle KJ, Shaw BM, et al.  Phylogenetic analysis of SARS-CoV-2 in the Boston area highlights the role of recurrent importation and superspreading events. medRxiv  2020. doi: 10.1101/2020.08.23.20178236. [DOI] [Google Scholar]
  • 13. Park SY, Kim YM, Yi S, et al.  Coronavirus disease outbreak in call center, South Korea. Emerg Infect Dis  2020; 26:1666–70. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14. Kang CR, Lee JY, Park Y, et al.  Coronavirus disease exposure and spread from nightclubs, South Korea. Emerg Infect Dis  2020; 26:2499–501. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15. Furuse Y, Sando E, Tsuchiya N, et al.  Clusters of coronavirus disease in communities, Japan, January-April 2020. Emerg Infect Dis  2020; 26. doi: 10.3201/eid2609.202272. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16. Jones NR, Qureshi ZU, Temple RJ, Larwood JPJ, Greenhalgh T, Bourouiba L. Two metres or one: what is the evidence for physical distancing in Covid-19?  BMJ  2020; 370:m3223. [DOI] [PubMed] [Google Scholar]
  • 17. Bahl P, Doolan C, de Silva C, Chughtai AA, Bourouiba L, MacIntyre CR. Airborne or droplet precautions for health workers treating COVID-19. J Infect Dis  2020. doi: 10.1093/infdis/jiaa189. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18. Bourouiba L. Turbulent gas clouds and respiratory pathogen emissions: potential implications for reducing transmission of COVID-19. JAMA  2020; 323:1837–8. [DOI] [PubMed] [Google Scholar]
  • 19. Prather KA, Wang CC, Schooley RT. Reducing transmission of SARS-CoV-2. Science  2020; 368:1422–4. [DOI] [PubMed] [Google Scholar]
  • 20. Fennelly KP. Particle sizes of infectious aerosols: implications for infection control. Lancet Respir Med  2020; 8:914–24. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21. Kumlin U, Olofsson S, Dimock K, Arnberg N. Sialic acid tissue distribution and influenza virus tropism. Influenza Other Respir Viruses  2008; 2:147–54. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22. Hoffmann M, Kleine-Weber H, Schroeder S, et al.  SARS-CoV-2 cell entry depends on ACE2 and TMPRSS2 and is blocked by a clinically proven protease inhibitor. Cell  2020; 181:271–80.e8. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 23. Huang Y, Chen S, Yang Z, et al.  SARS-CoV-2 viral load in clinical samples from critically ill patients. Am J Respir Crit Care Med  2020; 201:1435–8. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24. Stadnytskyi V, Bax CE, Bax A, Anfinrud P. The airborne lifetime of small speech droplets and their potential importance in SARS-CoV-2 transmission. Proc Natl Acad Sci U S A  2020; 117:11875–7. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25. van Doremalen N, Bushmaker T, Morris DH, et al.  Aerosol and surface stability of SARS-CoV-2 as compared with SARS-CoV-1. N Engl J Med  2020; 382:1564–7. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26. Chan JF, Yuan S, Zhang AJ, et al.  Surgical mask partition reduces the risk of non-contact transmission in a golden Syrian hamster model for Coronavirus Disease 2019 (COVID-19). Clin Infect Dis  2020. doi: 10.1093/cid/ciaa644. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27. Leung NHL, Chu DKW, Shiu EYC, et al.  Respiratory virus shedding in exhaled breath and efficacy of face masks. Nat Med  2020; 26:676–80. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28. Morawska L, Tang JW, Bahnfleth W, et al.  How can airborne transmission of COVID-19 indoors be minimised?  Environ Int  2020; 142:105832. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 29. Ma J, Qi X, Chen H, et al.  COVID-19 patients in earlier stages exhaled millions of SARS-CoV-2 per hour. Clin Infect Dis  2020. doi: 10.1093/cid/ciaa1283. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 30. Yu IT, Li Y, Wong TW, et al.  Evidence of airborne transmission of the severe acute respiratory syndrome virus. N Engl J Med  2004; 350:1731–9. [DOI] [PubMed] [Google Scholar]
  • 31. Kang M, Wei J, Yuan J, et al.  Probable evidence of fecal aerosol transmission of SARS-CoV-2 in a high-rise building. Ann Intern Med  2020. doi: 10.7326/M20-0928. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 32. Del Brutto OH, Costa AF, Mera RM, Recalde BY, Bustos JA, García HH. SARS-CoV-2 in rural Latin America. A population-based study in coastal Ecuador. Clin Infect Dis  2020. doi: 10.1093/cid/ciaa1055. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 33. Morawska L, Milton DK. It is time to address airborne transmission of COVID-19. Clin Infect Dis  2020. doi: 10.1093/cid/ciaa939. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 34. Centers for Disease Control CDC. Pneumocystis pneumonia--Los Angeles. MMWR Morb Mortal Wkly Rep  1981; 30:250–2. [PubMed] [Google Scholar]
  • 35. Del Rio C. From trained infectious diseases clinician to global health leader, reflections on the last 30 years. J Infect Dis  2017; 216:S622–3. [DOI] [PubMed] [Google Scholar]
  • 36. Gervasoni C, Meraviglia P, Riva A, et al.  Clinical features and outcomes of HIV patients with coronavirus disease 2019. Clin Infect Dis  2020. doi: 10.1093/cid/ciaa579. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 37. Price-Haywood EG, Burton J, Fort D, Seoane L. Hospitalization and mortality among black patients and white patients with Covid-19. N Engl J Med  2020; 382:2534–43. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 38. Zelner J, Trangucci R, Naraharisetti R, et al.  Racial disparaties in COVID-19 mortality are driven by unequal infection risks. medRxiv  2020. doi: 10.1101/2020.09.10.20192369. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 39. Bunyavanich S, Grant C, Vicencio A. Racial/ethnic variation in nasal gene expression of transmembrane serine protease 2 (TMPRSS2). JAMA  2020. doi: 10.1001/jama.2020.17386. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 40. Alexander TS. Human immunodeficiency virus diagnostic testing: 30 years of evolution. Clin Vaccine Immunol  2016; 23:249–53. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 41. Haas-Kogan DA. What HIV/AIDS taught me about pandemics: a clinician’s perspective. Int J Radiat Oncol Biol Phys  2020; 108:346–7. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 42. Davies MA. HIV and risk of COVID-19 death: a population cohort study from the Western Cape Province, South Africa. medRxiv  2020. doi: 10.1101/2020.07.02.20145185. [DOI] [Google Scholar]
  • 43. Baker MG, Kvalsig A, Verrall AJ. New Zealand’s COVID-19 elimination strategy. Med J Aust  2020. doi: 10.5694/mja2.50735. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 44. Klein A. Why we went for full elimination. New Sci  2020; 246:11. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 45. Baker MG, Wilson N, Anglemyer A. Successful elimination of Covid-19 transmission in New Zealand. N Engl J Med  2020; 383:e56. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 46. Njenga MK, Dawa J, Nanyingi M, et al.  Why is there low morbidity and mortality of COVID-19 in Africa. Am J Trop Med Hyg  2020; 103:564–9. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 47. Buckner FS, McCulloch DJ, Atluri V, et al.  Clinical features and outcomes of 105 hospitalized patients with COVID-19 in Seattle, Washington. Clin Infect Dis  2020. doi: 10.1093/cid/ciaa632. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 48. Power T, Wilson D, Best O, et al.  COVID-19 and indigenous peoples: an imperative for action. J Clin Nurs  2020; 29:2737–41. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 49. Sudharsanan N, Didzun O, Bärnighausen T, Geldsetzer P. The contribution of the age distribution of cases to COVID-19 case fatality across countries: a 9-country demographic study. Ann Intern Med  2020. doi: 10.7326/M20-2973. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 50. Lewnard JA, Liu VX, Jackson ML, et al.  Incidence, clinical outcomes, and transmission dynamics of severe coronavirus disease 2019 in California and Washington: prospective cohort study. BMJ  2020; 369:m1923. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 51. Fried MW, Crawford JM, Mospan AR, et al.  Patient characteristics and outcomes of 11,721 patients with COVID19 hospitalized across the United States. Clin Infect Dis  2020. doi: 10.1093/cid/ciaa1268. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 52. Rubin D, Huang J, Fisher BT, et al.  Association of social distancing, population density, and temperature with the instantaneous reproduction number of SARS-CoV-2 in counties across the United States. JAMA Netw Open  2020; 3:e2016099. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 53. Arpino B, Bordone V, Pasqualini M. No clear association emerges between intergenerational relationships and COVID-19 fatality rates from macro-level analyses. Proc Natl Acad Sci U S A  2020; 117:19116–21. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 54. Cowling BJ, Ali ST, Ng TWY, et al.  Impact assessment of non-pharmaceutical interventions against coronavirus disease 2019 and influenza in Hong Kong: an observational study. Lancet Public Health  2020; 5:e279–88. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 55. Zhang Q, Bastard P, Liu Z, et al.  Inborn errors of type I IFN immunity in patients with life-threatening COVID-19. Science  2020; 1. doi: 0.1126/science.abd4570. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 56. Bastard P, Rosen LB, Zhang Q, et al.  Auto-antibodies against type I IFNs in patients with life-threatening COVID-19. Science  2020. doi: 10.1126/science.abd4585. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 57. Ellinghaus D, Degenhardt F, Bujanda L, et al.  Genomewide association study of severe Covid-19 with respiratory failure. N Engl J Med  2020. doi: 10.1056/NEJMoa2020283. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 58. Zhao J, Yang Y, Huang H, et al.  Relationship between the ABO blood group and the COVID-19 susceptibility. Clin Infect Dis  2020. doi: 10.1093/cid/ciaa1150. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 59. Debnath M, Banerjee M, Berk M. Genetic gateways to COVID-19 infection: implications for risk, severity, and outcomes. FASEB J  2020; 34:8787–95. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 60. Meltzer DO, Best TJ, Zhang H, Vokes T, Arora V, Solway J. Association of vitamin D status and other clinical characteristics with COVID-19 test results. JAMA Netw Open  2020; 3:e2019722. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 61. Freedberg DE, Conigliaro J, Wang TC, et al.  Famotidine use is associated with improved clinical outcomes in hospitalized COVID-19 patients: a propensity score matched retrospective cohort study. Gastroenterology  2020; 159:1129–31.e3. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 62. Mateus J, Grifoni A, Tarke A, et al.  Selective and cross-reactive SARS-CoV-2 T cell epitopes in unexposed humans. Science  2020. doi: 10.1126/science.abd3871. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 63. Sagar M, Reifler K, Rossi M, et al.  Recent endemic coronavirus infection is associated with less severe COVID-19. J Clin Invest  2020. doi: 10.1172/JCI143380. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 64. Meckiff BJ, Ramírez-Suástegui C, Fajardo V, et al.  Imbalance of regulatory and cytotoxic SARS-CoV-2 reactive CD4+ T cells in COVID-19. Cell  2020. doi: 10.1101/2020.06.12.148916. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 65. Korber B, Fischer WM, Gnanakaran S, et al.  Tracking changes in SARS-CoV-2 spike: evidence that D614G increases infectivity of the COVID-19 virus. Cell  2020; 182:812–27.e19. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 66. Young BE, Fong SW, Chan YH, et al.  Effects of a major deletion in the SARS-CoV-2 genome on the severity of infection and the inflammatory response: an observational cohort study. Lancet  2020; 396:603–11. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 67. Grech V, Cuschieri S. COVID-19: a global and continental overview of the second wave and its (relatively) attenuated case fatality ratio. Early Hum Dev  2020; 105211. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 68. Dong Y, Mo X, Hu Y, et al.  Epidemiology of COVID-19 among children in China. Pediatrics  2020; 145. doi: 10.1542/peds.2020-0702. [DOI] [PubMed] [Google Scholar]
  • 69. CDC COVID-1RT. Coronavirus disease 2019 in children - United States, February 12-April 2, 2020. MMWR Morb Mortal Wkly Rep  2020; 69:422–6. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 70. Kim L, Whitaker M, O’Halloran A, et al.  Hospitalization rates and characteristics of children aged <18 years hospitalized with laboratory-confirmed COVID-19 - COVID-NET, 14 states, March 1-July 25, 2020. MMWR Morb Mortal Wkly Rep  2020; 69:1081–8. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 71. Pierce CA, Preston-Hurlburt P, Dai Y, et al.  Immune responses to SARS-CoV-2 infection in hospitalized pediatric and adult patients. Sci Transl Med  2020. doi: 10.1126/scitranslmed.abd5487. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 72. Felsenstein S, Hedrich CM. SARS-CoV-2 infections in children and young people. Clin Immunol  2020; 220:108588. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 73. Steinman JB, Lum FM, Ho PP, Kaminski N, Steinman L. Reduced development of COVID-19 in children reveals molecular checkpoints gating pathogenesis illuminating potential therapeutics. Proc Natl Acad Sci U S A  2020; 117:24620–6. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 74. Leeb RT, Price S, Sliwa S, et al.  COVID-19 trends among school-aged children - United States, March 1-September 19, 2020. MMWR Morb Mortal Wkly Rep  2020; 69:1410–5. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 75. Belhadjer Z, Méot M, Bajolle F, et al.  Acute heart failure in multisystem inflammatory syndrome in children (MIS-C) in the context of global SARS-CoV-2 pandemic. Circulation  2020. doi: 10.1161/CIRCULATIONAHA.120.048360. [DOI] [PubMed] [Google Scholar]
  • 76. Deza Leon MP, Redzepi A, McGrath E, et al.  COVID-19-associated pediatric multisystem inflammatory syndrome. J Pediatric Infect Dis Soc  2020; 9:407–8. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 77. Riphagen S, Gomez X, Gonzalez-Martinez C, Wilkinson N, Theocharis P. Hyperinflammatory shock in children during COVID-19 pandemic. Lancet  2020; 395:1607–8. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 78. Verdoni L, Mazza A, Gervasoni A, et al.  An outbreak of severe Kawasaki-like disease at the Italian epicentre of the SARS-CoV-2 epidemic: an observational cohort study. Lancet  2020; 395:1771–8. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 79. Blondiaux E, Parisot P, Redheuil A, et al.  Cardiac MRI of children with multisystem inflammatory syndrome (MIS-C) associated with COVID-19: case series. Radiology  2020; 202288. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 80. Greene AG, Saleh M, Roseman E, Sinert R. Toxic shock-like syndrome and COVID-19: a case report of multisystem inflammatory syndrome in children (MIS-C). Am J Emerg Med  2020. doi: 10.1016/j.ajem.2020.05.117. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 81. Pouletty M, Borocco C, Ouldali N, et al.  Paediatric multisystem inflammatory syndrome temporally associated with SARS-CoV-2 mimicking Kawasaki disease (Kawa-COVID-19): a multicentre cohort. Ann Rheum Dis  2020; 79:999–1006. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 82. Cabrero-Hernández M, García-Salido A, Leoz-Gordillo I, et al.  Severe SARS-CoV-2 infection in children with suspected acute abdomen: a case series from a tertiary hospital in Spain. Pediatr Infect Dis J  2020; 39:e195–8. [DOI] [PubMed] [Google Scholar]
  • 83. Feldstein LR, Rose EB, Horwitz SM, et al.  Multisystem inflammatory syndrome in U.S. children and adolescents. N Engl J Med  2020; 383:334–46. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 84. Dufort EM, Koumans EH, Chow EJ, et al.  Multisystem inflammatory syndrome in children in New York State. N Engl J Med  2020; 383:347–58. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 85. Whittaker E, Bamford A, Kenny J, et al.  Clinical characteristics of 58 children with a pediatric inflammatory multisystem syndrome temporally associated with SARS-CoV-2. JAMA  2020; 324:259–69. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 86. Godfred-Cato S, Bryant B, Leung J, et al.  COVID-19-associated multisystem inflammatory syndrome in children - United States, March-July 2020. MMWR Morb Mortal Wkly Rep  2020; 69:1074–80. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 87. Morris SB, Schwartz NG, Patel P, et al.  Case series of multisystem inflammatory syndrome in adults associated with SARS-CoV-2 infection-- United Kingdom and United States, March-August 2020. MMWR Morb Mortal Wkly Rep  2020; 69:1450–6. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 88. Lauer SA, Grantz KH, Bi Q, et al.  The incubation period of coronavirus disease 2019 (COVID-19) from publicly reported confirmed cases: estimation and application. Ann Intern Med  2020; 172:577–82. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 89. Struyf T, Deeks JJ, Dinnes J, et al.  Signs and symptoms to determine if a patient presenting in primary care or hospital outpatient settings has COVID-19 disease. Cochrane Database Syst Rev  2020; 7:CD013665. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 90. Zayet S, Kadiane-Oussou NJ, Lepiller Q, et al.  Clinical features of COVID-19 and influenza: a comparative study on Nord Franche-Comte cluster. Microbes Infect  2020. doi: 10.1016/j.micinf.2020.05.016. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 91. Spinato G, Fabbris C, Polesel J, et al.  Alterations in smell or taste in mildly symptomatic outpatients with SARS-CoV-2 infection. JAMA  2020; 323:2089–90. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 92. Dawson P, Rabold EM, Laws RL, et al.  Loss of taste and smell as distinguishing symptoms of COVID-19. Clin Infect Dis  2020. doi: 10.1093/cid/ciaa799. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 93. Le Cleach L, Dousset L, Assier H, et al.  Most chilblains observed during the COVID-19 outbreak occur in patients who are negative for COVID-19 on polymerase chain reaction and serology testing. Br J Dermatol  2020. doi: 10.1111/bjd.19377. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 94. Brann DH, Tsukahara T, Weinreb C, et al.  Non-neuronal expression of SARS-CoV-2 entry genes in the olfactory system suggests mechanisms underlying COVID-19-associated anosmia. Sci Adv  2020; 6. doi: 10.1126/sciadv.abc5801. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 95. Zhang AJ, Lee AC, Chu H, et al.  SARS-CoV-2 infects and damages the mature and immature olfactory sensory neurons of hamsters. Clin Infect Dis  2020. doi: 10.1093/cid/ciaa995. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 96. Shi S, Qin M, Shen B, et al.  Association of cardiac injury with mortality in hospitalized patients with COVID-19 in Wuhan, China. JAMA Cardiol  2020; 5:802–10. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 97. Ng JH, Hirsch JS, Hazzan A, et al.  Outcomes among patients hospitalized with COVID-19 and acute kidney injury. Am J Kidney Dis  2020. doi: 10.1053/j.ajkd.2020.09.002. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 98. Parasa S, Desai M, Thoguluva Chandrasekar V, et al.  Prevalence of gastrointestinal symptoms and fecal viral shedding in patients with coronavirus disease 2019: a systematic review and meta-analysis. JAMA Netw Open  2020; 3:e2011335. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 99. Carfì A, Bernabei R, Landi F; Gemelli Against COVID-19 Post-Acute Care Study Group Persistent symptoms in patients after acute COVID-19. JAMA  2020; 324:603–5. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 100. Tenforde MW, Kim SS, Lindsell CJ, et al.  Symptom duration and risk factors for delayed return to usual health among outpatients with COVID-19 in a multistate health care systems network - United States, March-June 2020. MMWR Morb Mortal Wkly Rep  2020; 69:993–8. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 101. Del Rio C, Collins LF, Malani P. Long-term health consequences of COVID-19. JAMA  2020. doi: 10.1001/jama.2020.19719. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 102. Sinha P, Matthay MA, Calfee CS. Is a “Cytokine Storm” relevant to COVID-19?  JAMA Intern Med  2020. doi: 10.1001/jamainternmed.2020.3313. [DOI] [PubMed] [Google Scholar]
  • 103. Herold T, Jurinovic V, Arnreich C, et al.  Elevated levels of IL-6 and CRP predict the need for mechanical ventilation in COVID-19. J Allergy Clin Immunol  2020; 146:128–36.e4. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 104. Garvin MR, Alvarez C, Miller JI, et al.  A mechanistic model and therapeutic interventions for COVID-19 involving a RAS-mediated bradykinin storm. Elife  2020; 9. doi: 10.7554/eLife.59177. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 105. Donlan AD, Young M, Petri WAJ, Abhyankar M. IL-13 predicts the need for mechanical ventilation in COVID-19 patients. medRxiv  2020. doi: 10.1101/2020.06.18.20134353. [DOI] [Google Scholar]
  • 106. Wynn TA. IL-13 effector functions. Annu Rev Immunol  2003; 21:425–56. [DOI] [PubMed] [Google Scholar]
  • 107. Rosenberg HF, Phipps S, Foster PS. Eosinophil trafficking in allergy and asthma. J Allergy Clin Immunol  2007; 119:1303–10. [DOI] [PubMed] [Google Scholar]
  • 108. Frisbee AL, Saleh MM, Young MK, et al.  IL-33 drives group 2 innate lymphoid cell-mediated protection during Clostridium difficile infection. Nat Commun  2019; 10:2712. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 109. Gour N, Wills-Karp M. IL-4 and IL-13 signaling in allergic airway disease. Cytokine  2015; 75:68–78. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 110. Le Floch A, Allinne J, Nagashima K, et al.  Dual blockade of IL-4 and IL-13 with dupilumab, an IL-4Rα antibody, is required to broadly inhibit type 2 inflammation. Allergy  2020; 75:1188–204. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 111. Moreau GB, Burgess SL, Sturek JM, Donlan AN, Petri WA, Mann BJ. Evaluation of K18-hACE2 mice as a model of SARS-CoV-2 infection. Am J Trop Med Hyg  2020; 103:1215–9. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 112. Grasselli G, Tonetti T, Protti A, et al.  Pathophysiology of COVID-19-associated acute respiratory distress syndrome: a multicentre prospective observational study. Lancet Respir Med  2020. doi: 10.1016/S2213-2600(20)30370-2. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 113. Bradley BT, Maioli H, Johnston R, et al.  Histopathology and ultrastructural findings of fatal COVID-19 infections in Washington State: a case series. Lancet  2020; 396:320–32. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 114. Marini JJ, Gattinoni L. Management of COVID-19 respiratory distress. JAMA  2020; 323:2329–30. [DOI] [PubMed] [Google Scholar]
  • 115. Fan E, Beitler JR, Brochard L, et al.  COVID-19-associated acute respiratory distress syndrome: is a different approach to management warranted?  Lancet Respir Med  2020; 8:816–21. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 116. Ziehr DR, Alladina J, Petri CR, et al.  Respiratory pathophysiology of mechanically ventilated patients with COVID-19: a cohort study. Am J Respir Crit Care Med  2020; 201:1560–4. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 117. Ackermann M, Verleden SE, Kuehnel M, et al.  Pulmonary vascular endothelialitis, thrombosis, and angiogenesis in Covid-19. N Engl J Med  2020; 383:120–8. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 118. Fox SE, Akmatbekov A, Harbert JL, Li G, Quincy Brown J, Vander Heide RS. Pulmonary and cardiac pathology in African American patients with COVID-19: an autopsy series from New Orleans. Lancet Respir Med  2020; 8:681–6. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 119. Patel BV, Arachchillage DJ, Ridge CA, et al.  Pulmonary angiopathy in severe COVID-19: physiologic, imaging, and hematologic observations. Am J Respir Crit Care Med  2020; 202:690–9. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 120. Varga Z, Flammer AJ, Steiger P, et al.  Endothelial cell infection and endotheliitis in COVID-19. Lancet  2020; 395:1417–8. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 121. Magro C, Mulvey JJ, Berlin D, et al.  Complement associated microvascular injury and thrombosis in the pathogenesis of severe COVID-19 infection: a report of five cases. Transl Res  2020; 220:1–13. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 122. McFadyen JD, Stevens H, Peter K. The emerging threat of (micro)thrombosis in COVID-19 and its therapeutic implications. Circ Res  2020; 127:571–87. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 123. Middleton EA, He XY, Denorme F, et al.  Neutrophil extracellular traps contribute to immunothrombosis in COVID-19 acute respiratory distress syndrome. Blood  2020; 136:1169–79. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 124. Panigada M, Bottino N, Tagliabue P, et al.  Hypercoagulability of COVID-19 patients in intensive care unit: a report of thromboelastography findings and other parameters of hemostasis. J Thromb Haemost  2020; 18:1738–42. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 125. Merrill JT, Erkan D, Winakur J, James JA. Emerging evidence of a COVID-19 thrombotic syndrome has treatment implications. Nat Rev Rheumatol  2020; 16:581–9. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 126. Paranjpe I, Fuster V, Lala A, et al.  Association of treatment dose anticoagulation with in-hospital survival among hospitalized patients with COVID-19. J Am Coll Cardiol  2020; 76:122–4. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 127. Poor HD, Ventetuolo CE, Tolbert T, et al.  COVID-19 critical illness pathophysiology driven by diffuse pulmonary thrombi and pulmonary endothelial dysfunction responsive to thrombolysis. Clin Transl Med  2020. doi: 10.1002/ctm2.44. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 128. Moores LK, Tritschler T, Brosnahan S, et al.  Prevention, diagnosis, and treatment of VTE in patients with Coronavirus disease 2019: CHEST guideline and expert panel report. Chest  2020; 158:1143–63. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 129. Clausen TM, Sandoval DR, Spliid CB, et al.  SARS-CoV-2 infection depends on cellular heparan sulfate and ACE2. Cell  2020. doi: 10.1016/j.cell.2020.09.033. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 130. Rawson TM, Moore LSP, Zhu N, et al.  Bacterial and fungal co-infection in individuals with coronavirus: a rapid review to support COVID-19 antimicrobial prescribing. Clin Infect Dis  2020. doi: 10.1093/cid/ciaa530. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 131. Somers EC, Eschenauer GA, Troost JP, et al.  Tocilizumab for treatment of mechanically ventilated patients with COVID-19. Clin Infect Dis  2020. doi: 10.1093/cid/ciaa954. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 132. Verweij PE, Rijnders BJA, Brüggemann RJM, et al.  Review of influenza-associated pulmonary aspergillosis in ICU patients and proposal for a case definition: an expert opinion. Intensive Care Med  2020; 46:1524–35. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 133. Wang H, Ding Y, Li X, Yang L, Zhang W, Kang W. Fatal aspergillosis in a patient with SARS who was treated with corticosteroids. N Engl J Med  2003; 349:507–8. [DOI] [PubMed] [Google Scholar]
  • 134. Hwang DM, Chamberlain DW, Poutanen SM, Low DE, Asa SL, Butany J. Pulmonary pathology of severe acute respiratory syndrome in Toronto. Mod Pathol  2005; 18:1–10. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 135. White PL, Dhillon R, Cordey A, et al.  A national strategy to diagnose COVID-19 associated invasive fungal disease in the ICU. Clin Infect Dis  2020. doi: 10.1093/cid/ciaa1298. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 136. Bartoletti M, Pascale R, Cricca M, et al.  Epidemiology of invasive pulmonary aspergillosis among COVID-19 intubated patients: a prospective study. Clin Infect Dis  2020. doi: 10.1093/cid/ciaa1065. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 137. Wang J, Yang Q, Zhang P, Sheng J, Zhou J, Qu T. Clinical characteristics of invasive pulmonary aspergillosis in patients with COVID-19 in Zhejiang, China: a retrospective case series. Crit Care  2020; 24:299. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 138. Alanio A, Dellière S, Fodil S, Bretagne S, Mégarbane B. Prevalence of putative invasive pulmonary aspergillosis in critically ill patients with COVID-19. Lancet Respir Med  2020; 8:e48–9. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 139. Koehler P, Cornely OA, Böttiger BW, et al.  COVID-19 associated pulmonary aspergillosis. Mycoses  2020; 63:528–34. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 140. Rutsaert L, Steinfort N, Van Hunsel T, et al.  COVID-19-associated invasive pulmonary aspergillosis. Ann Intensive Care  2020; 10:71. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 141. Verweij PE, Gangneux JP, Bassetti M, et al.  Diagnosing COVID-19-associated pulmonary aspergillosis. Lancet Microbe  2020; 1:e53–5. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 142. Arastehfar A, Carvalho A, van de Veerdonk FL, et al.  COVID-19 associated pulmonary aspergillosis (CAPA)-from immunology to treatment. J Fungi (Basel)  2020; 6. doi: 10.3390/jof6020091. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 143. Blanco JL, Ambrosioni J, Garcia F, et al.  COVID-19 in patients with HIV: clinical case series. Lancet HIV  2020; 7:e314–6. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 144. Haberman R, Axelrad J, Chen A, et al.  Covid-19 in immune-mediated inflammatory diseases - case series from New York. N Engl J Med  2020; 383:85–8. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 145. Kuderer NM, Choueiri TK, Shah DP, et al.  Clinical impact of COVID-19 on patients with cancer (CCC19): a cohort study. Lancet  2020; 395:1907–18. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 146. Shah GL, DeWolf S, Lee YJ, et al.  Favorable outcomes of COVID-19 in recipients of hematopoietic cell transplantation. J Clin Invest  2020. doi: 10.1172/JCI141777. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 147. Alasfar S, Avery RK. The impact of COVID-19 on kidney transplantation. Nat Rev Nephrol  2020; 16:568–9. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 148. Center for Medicare & Medicaid Services. Non-emergent, elective medical services, and treatment recommendations. Available at: https://www.cms.gov/files/document/cms-non-emergent-elective-medical-recommendations.pdf. Accessed 26 April 2020. [Google Scholar]
  • 149. Carbajo-Lozoya J, Müller MA, Kallies S, Thiel V, Drosten C, von Brunn A. Replication of human coronaviruses SARS-CoV, HCoV-NL63 and HCoV-229E is inhibited by the drug FK506. Virus Res  2012; 165:112–7. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 150. Pfefferle S, Schöpf J, Kögl M, et al.  The SARS-coronavirus-host interactome: identification of cyclophilins as target for pan-coronavirus inhibitors. PLoS Pathog  2011; 7:e1002331. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 151. Caillard S, Anglicheau D, Matignon M, et al.  An initial report from the French SOT COVID Registry suggests high mortality due to Covid-19 in recipients of kidney transplants. Kidney Int  2020. doi: 10.1016/j.kint.2020.08.005. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 152. Kates OS, Haydel BM, Florman SS, et al.  COVID-19 in solid organ transplant: a multi-center cohort study. Clin Infect Dis  2020. doi: 10.1093/cid/ciaa1097. [DOI] [Google Scholar]
  • 153. Pereira MR, Mohan S, Cohen DJ, et al.  COVID-19 in solid organ transplant recipients: initial report from the US epicenter. Am J Transplant  2020; 20:1800–8. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 154. Hanson KE, Caliendo AM, Arias CA, et al.  Infectious Diseases Society of America guidelines on the diagnosis of COVID-19. Clin Infect Dis  2020. doi: 10.1093/cid/ciaa760. Available at: https://www.idsociety.org/practice-guideline/covid-19-guideline-diagnostics/. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 155. Hanson KE, Caliendo AM, Arias CA, et al.  Infectious Diseases Society of America guidelines on the diagnosis of COVID-19: serologic testing. Clin Infect Dis  2020. doi: 10.1093/cid/ciaa1343. Available at: https://www.idsociety.org/practice-guideline/covid-19-guideline-serology/. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 156. Fang FC, Naccache SN, Greninger AL. The laboratory diagnosis of COVID-19-- frequently-asked questions. Clin Infect Dis  2020. doi: 10.1093/cid/ciaa742. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 157. Wölfel R, Corman VM, Guggemos W, et al.  Virological assessment of hospitalized patients with COVID-2019. Nature  2020; 581:465–9. [DOI] [PubMed] [Google Scholar]
  • 158. Ridgway JP, Shah NS, Robicsek AA. Prolonged shedding of severe acute respiratory coronavirus virus 2 (SARS-CoV-2) RNA among patients with coronavirus disease 2019 (COVID-19). Infect Control Hosp Epidemiol  2020; 41:1235–6. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 159. Lephart PR, Bachman MA, LeBar W, et al.  Comparative study of four SARS-CoV-2 nucleic acid amplification test (NAAT) platforms demonstrates that ID NOW performance is impaired substantially by patient and specimen type. Diagn Microbiol Infect Dis  2020; 99:115200. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 160. Dinnes J, Deeks JJ, Adriano A, et al.  Rapid, point-of-care antigen and molecular-based tests for diagnosis of SARS-CoV-2 infection. Cochrane Database Syst Rev  2020; 8:CD013705. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 161. Pettengill MA, McAdam AJ. Can we test our way out of the COVID-19 pandemic?  J Clin Microbiol  2020. doi: 10.1128/JCM.02225-20. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 162. Kucirka LM, Lauer SA, Laeyendecker O, Boon D, Lessler J. Variation in false-negative rate of reverse transcriptase polymerase chain reaction-based SARS-CoV-2 tests by time since exposure. Ann Intern Med  2020; 173:262–7. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 163. Blot M, Jacquier M, Manoha C, Piroth L, Charles PE, Pneumochondrie Study Group. Alveolar SARS-CoV-2 viral load is tightly correlated with severity in COVID-19 ARDS. Clin Infect Dis  2020. doi: 10.1093/cid/ciaa1172. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 164. Prebensen C, Hre PLM, Jonassen C, et al.  SARS-CoV-2 RNA in plasma is associated with ICU admission and mortality in patients hospitalized with COVID-19. Clin Infect Dis  2020. doi: 10.1093/cid/ciaa1338. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 165. Röltgen K, Wirz OF, Stevens BA, et al.  SARS-CoV-2 antibody responses correlate with resolution of RNAemia but are short-lived in patients with mild illness. medRxiv  2020. doi: 10.1101/2020.08.15.20175794. [DOI] [Google Scholar]
  • 166. Xu D, Zhou F, Sun W, et al.  Relationship between serum SARS-CoV-2 nucleic acid (RNAemia) and organ damage in COVID-19 patients: a cohort study. Clin Infect Dis  2020. doi: 10.1093/cid/ciaa1085. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 167. Chen X, Zhao B, Qu Y, et al.  Detectable serum SARS-CoV-2 viral load (RNAaemia) is closely correlated with drastically elevated interleukin 6 (IL-6) level in critically ill COVID-19 patients. Clin Infect Dis  2020. doi: 10.1093/cid/ciaa449. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 168. Veyer D, Kernéis S, Poulet G, et al.  Highly sensitive quantification of plasma SARS-CoV-2 RNA shelds light on its potential clinical value. Clin Infect Dis  2020. doi: 10.1093/cid/ciaa1196. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 169. Zheng S, Fan J, Yu F, et al.  Viral load dynamics and disease severity in patients infected with SARS-CoV-2 in Zhejiang province, China, January-March 2020: retrospective cohort study. BMJ  2020; 369:m1443. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 170. La Scola B, Le Bideau M, Andreani J, et al.  Viral RNA load as determined by cell culture as a management tool for discharge of SARS-CoV-2 patients from infectious disease wards. Eur J Clin Microbiol Infect Dis  2020; 39:1059–61. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 171. Bullard J, Dust K, Funk D, et al.  Predicting infectious SARS-CoV-2 from diagnostic samples. Clin Infect Dis  2020. doi: 10.1093/cid/ciaa638. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 172. Westblade LF, Brar G, Pinheiro LC, et al.  SARS-CoV-2 viral load predicts mortality in patients with and without cancer who are hospitalized with COVID-19. Cancer Cell  2020. doi: 10.1016/j.ccell.2020.09.007. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 173. Magleby R, Westblade LF, Trzebucki A, et al.  Impact of SARS-CoV-2 viral load on risk of intubation and mortality among hospitalized patients with Coronavirus disease 2019. Clin Infect Dis  2020. doi: 10.1093/cid/ciaa851. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 174. Rhoads DD, Cherian SS, Roman K, Stempak LM, Schmotzer CL, Sadri N. Comparison of Abbott ID Now, DiaSorin Simplexa, and CDC FDA emergency use authorization methods for the detection of SARS-CoV-2 from nasopharyngeal and nasal swabs from individuals diagnosed with COVID-19. J Clin Microbiol  2020; 58. doi: 10.1128/JCM.00760-20. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 175. Kurstjens S, van der Horst A, Herpers R, et al.  Rapid identification of SARS-CoV-2-infected patients at the emergency department using routine testing. Clin Chem Lab Med  2020; 58:1587–93. [DOI] [PubMed] [Google Scholar]
  • 176. Kim H, Hong H, Yoon SH. Diagnostic performance of CT and reverse transcriptase polymerase chain reaction for Coronavirus disease 2019: a meta-analysis. Radiology  2020; 296:E145–55. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 177. Hanson KE, Barker AP, Hillyard DR, et al.  Self-collected anterior nasal and saliva specimens versus healthcare worker-collected nasopharyngeal swabs for the molecular detection of SARS-CoV-2. J Clin Microbiol  2020. doi: 10.1128/JCM.01824-20. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 178. Wyllie AL, Fournier J, Casanovas-Massana A, et al.  Saliva or nasopharyngeal swab specimens for detection of SARS-CoV-2. N Engl J Med  2020; 383:1283–6. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 179. Czumbel LM, Kiss S, Farkas N, et al.  Saliva as a candidate for COVID-19 diagnostic testing: a meta-analysis. Front Med (Lausanne)  2020; 7:465. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 180. Henry BM, de Oliveira MHS, Benoit S, Plebani M, Lippi G. Hematologic, biochemical and immune biomarker abnormalities associated with severe illness and mortality in Coronavirus disease 2019 (COVID-19): a meta-analysis. Clin Chem Lab Med  2020; 58:1021–8. [DOI] [PubMed] [Google Scholar]
  • 181. Kirkcaldy RD, King BA, Brooks JT. COVID-19 and postinfection immunity: limited evidence, many remaining questions. JAMA  2020; 323:2245–6. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 182. Ibarrondo FJ, Fulcher JA, Goodman-Meza D, et al.  Rapid decay of anti-SARS-CoV-2 antibodies in persons with mild Covid-19. N Engl J Med  2020; 383:1085–7. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 183. Estcourt LJ, Roberts DJ. Convalescent plasma for covid-19. BMJ  2020; 370:m3516. [DOI] [PubMed] [Google Scholar]
  • 184. Joyner MJ, Bruno KA, Klassen SA, et al.  Safety update: COVID-19 convalescent plasma in 20,000 hospitalized patients. Mayo Clin Proc  2020; 95:1888–97. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 185. Beigel JH, Tomashek KM, Dodd LE, et al.  Remdesivir for the treatment of Covid-19 - preliminary report. N Engl J Med  2020. doi: 10.1056/NEJMoa2007764. [DOI] [PubMed] [Google Scholar]
  • 186. RECOVERY CG, Horby P, Lim WS, et al.  Dexamethasone in hospitalized patients with Covid-19 - preliminary report. N Engl J Med  2020. doi: 10.1056/NEJMoa2021436. [DOI] [Google Scholar]
  • 187. RECOVERY CG, Horby P, Mafham M, et al.  Effect of hydroxychloroquine in hospitalized patients with Covid-19. N Engl J Med  2020. doi: 10.1056/NEJMoa2022926. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 188. RECOVERY CG. Lopinavir-ritonavir in patients admitted to hospital with COVID-19 (RECOVERY): a randomised, controlled, open-label, platform trial. Lancet  2020. doi: 10.1016/S0140-6736(20)32013-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 189. Gharpure R, Hunter CM, Schnall AH, et al.  Knowledge and practices regarding safe household cleaning and disinfection for COVID-19 prevention - United States, May 2020. MMWR Morb Mortal Wkly Rep  2020; 69:705–9. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 190. Cao B, Wang Y, Wen D, et al.  A trial of lopinavir-ritonavir in adults hospitalized with severe Covid-19. N Engl J Med  2020; 382:1787–99. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 191. Cavalcanti AB, Zampieri FG, Rosa RG, et al.  Hydroxychloroquine with or without azithromycin in mild-to-moderate Covid-19. N Engl J Med  2020. doi: 10.1056/NEJMoa2019014. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 192. Tang W, Cao Z, Han M, et al.  Hydroxychloroquine in patients with mainly mild to moderate coronavirus disease 2019: open label, randomised controlled trial. BMJ  2020; 369:m1849. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 193. Mitjà O, Corbacho-Monné M, Ubals M, et al.  Hydroxychloroquine for early treatment of adults with mild Covid-19: a randomized-controlled trial. Clin Infect Dis  2020. doi: 10.1093/cid/ciaa1009. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 194. Skipper CP, Pastick KA, Engen NW, et al.  Hydroxychloroquine in nonhospitalized adults with early COVID-19: a randomized trial. Ann Intern Med  2020. doi: 10.7326/M20-4207. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 195. Boulware DR, Pullen MF, Bangdiwala AS, et al.  A randomized trial of hydroxychloroquine as postexposure prophylaxis for Covid-19. N Engl J Med  2020; 383:517–25. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 196. Mitja O, Ubals M, Corbacho M, et al.  A cluster-randomized trial of hydroxychloroquione as prevention of COVID-19 transmission and disease. medRxiv  2020. doi: 10.1101/2020.07.20.20157651. [DOI] [Google Scholar]
  • 197. FDA. Coronavirus (COVID-1) update: FDA revokes emergency use authorization for chloroquine and hydroxychloroquine. 2020. Available at: https://www.fda.gov/news-events/press-announcements/coronavirus-covid-19-update-fda-revokes-emergency-use-authorization-chloroquine-and. Accessed 26 September 2020. [Google Scholar]
  • 198. Goldman JD, Lye DCB, Hui DS, et al.  Remdesivir for 5 or 10 days in patients with severe Covid-19. N Engl J Med  2020. doi: 10.1056/NEJMoa2015301. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 199. NIH. Coronavirus DIsease 2019 (COVID-19) treatment guidelines. Available at: https://www.covid19treatmentguidelines.nih.gov/. Accessed 26 September 2020. [Google Scholar]
  • 200. Bhimraj A, Morgan RL, Shumaker AH, et al.  Infectious Diseases Society of America guidelines on the treatment and management of patients with COVID-19. Clin Infect Dis  2020. doi: 10.1093/cid/ciaa478. Available at: https://www.idsociety.org/practice-guideline/covid-19-guideline-treatment-and-management/. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 201. Wiersinga WJ, Rhodes A, Cheng AC, Peacock SJ, Prescott HC. Pathophysiology, transmission, diagnosis, and treatment of Coronavirus disease 2019 (COVID-19): a review. JAMA  2020; 324:782–93. [DOI] [PubMed] [Google Scholar]
  • 202. Beigel JH, Tomashek KM, Dodd LE, et al.  Remdesivir for the treatment of Covid-19 - final report. N Engl J Med  2020. doi: 10.1056/NEJMoa2007764. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 203. Pan H, Peto R, Karim QA, et al.  Repurposed antiviral drugs for COVID-19-- interim WHO SOLIDARITY trial results to common coronaviruses does not confer cross-protection against SARS-CoV-2. medRxiv  2020. doi: 10.1101/2020.10.15.20209817. [DOI] [Google Scholar]
  • 204. Fang FC, Schooley RT. Treatment of COVID-19-- evidence-based or personalized medicine?  Clin Infect Dis  2020. doi: 10.1093/cid/ciaa996. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 205. Gonçalves A, Bertrand J, Ke R, et al.  Timing of antiviral treatment initiation is critical to reduce SARS-CoV-2 viral load. CPT Pharmacometrics Syst Pharmacol  2020; 9:509–14. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 206. Sanofi. Sanofi and Regeneron provide update on Kevzara® (sarilumab) Phase 3 U.S. trial in COVID-19 patients. 2020. Available at: https://www.sanofi.com/en/media-room/press-releases/2020/2020-07-02-22-30-00. Accessed 26 September 2020. [Google Scholar]
  • 207. Roche. Roche provides an update on the phase III COVACT trial of Actemra/RoActemra in hospitalised patients with severe COVID-19 associated pneumonia. 2020. Available at: https://www.roche.com/investors/updates/inv-update-2020-07-29.htm. Accessed 26 September 2020. [Google Scholar]
  • 208. Malgie J, Schoones JW, Pijls BG. Decreased mortality in COVID-19 patients treated with Tocilizumab: a rapid systematic review and meta-analysis of observational studies. Clin Infect Dis  2020. doi: 10.1093/cid/ciaa1445. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 209. Wang Y, Zhang D, Du G, et al.  Remdesivir in adults with severe COVID-19: a randomised, double-blind, placebo-controlled, multicentre trial. Lancet  2020; 395:1569–78. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 210. Fowler VG, Allen KB, Moreira ED, et al.  Effect of an investigational vaccine for preventing Staphylococcus aureus infections after cardiothoracic surgery: a randomized trial. JAMA  2013; 309:1368–78. [DOI] [PubMed] [Google Scholar]
  • 211. Rothman AL. Immunity to dengue virus: a tale of original antigenic sin and tropical cytokine storms. Nat Rev Immunol  2011; 11:532–43. [DOI] [PubMed] [Google Scholar]
  • 212. Halstead SB, Katzelnick L. COVID 19 Vaccines: Should we fear ADE. J Infect Dis  2020. doi: 10.1093/infdis/jiaa518. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 213. Thomas K. 9 drug companies pledge to ‘Stand With Science’ on coronavirus vaccines. New York Times  2020. Available at: https://www.nytimes.com/2020/09/08/health/9-drug-companies-pledge-coronavirus-vaccine.html. Accessed 26 September 2020. [Google Scholar]
  • 214. Du S, Cao Y, Zhu Q, et al.  Structurally resolved SARS-CoV-2 antibody shows high efficacy in severely infected hamsters and provides a potent cocktail pairing strategy. Cell  2020. doi: 10.1016/j.cell.2020.09.035. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 215. Ju B, Zhang Q, Ge J, et al.  Human neutralizing antibodies elicited by SARS-CoV-2 infection. Nature  2020; 584:115–9. [DOI] [PubMed] [Google Scholar]
  • 216. Miyara M, Sterlin D, Anna F, et al.  Pre-COVID-19 humoral immunity to common coronaviruses does not confer cross-protection against SARS-CoV-2. medRxiv  2020. doi: 10.1101/2020.08.14.20173393. [DOI] [Google Scholar]
  • 217. Wu F, Liu M, Wang A, et al.  Evaluating the association of clinical characteristics with neutralizing antibody levels in patients who have recovered from mild COVID-19 in Shanghai, China. JAMA Intern Med  2020. doi: 10.1001/jamainternmed.2020.4616. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 218. Long QX, Tang XJ, Shi QL, et al.  Clinical and immunological assessment of asymptomatic SARS-CoV-2 infections. Nat Med  2020; 26:1200–4. [DOI] [PubMed] [Google Scholar]
  • 219. Robbiani DF, Gaebler C, Muecksch F, et al.  Convergent antibody responses to SARS-CoV-2 in convalescent individuals. Nature  2020; 584:437–42. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 220. Gudbjartsson DF, Norddahl GL, Melsted P, et al.  Humoral immune response to SARS-CoV-2 in Iceland. N Engl J Med  2020. doi: 10.1056/NEJMoa2026116. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 221. Edridge AWD, Kaczorowska J, Hoste ACR, et al.  Seasonal coronavirus protective immunity is short-lasting. Nat Med  2020. doi: 10.1038/s41591-020-1083-1. [DOI] [PubMed] [Google Scholar]
  • 222. To KK, Hung IF, Ip JD, et al.  COVID-19 re-infection by a phylogenetically distinct SARS-coronavirus-2 strain confirmed by whole genome sequencing. Clin Infect Dis  2020. doi: 10.1093/cid/ciaa1275. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 223. Pepper M, Rodda L, Netland J, et al.  Functional SARS-CoV-2-specific immune memory persists after mild COVID-19. Res Sq  2020. doi: 10.21203/rs.3.rs-57112/v1. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 224. Grifoni A, Weiskopf D, Ramirez SI, et al.  Targets of T cell responses to SARS-CoV-2 Coronavirus in humans with COVID-19 disease and unexposed individuals. Cell  2020; 181:1489–501.e15. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 225. Sekine T, Perez-Potti A, Rivera-Ballesteros O, et al.  Robust T cell immunity in convalescent individuals with asymptomatic or mild COVID-19. Cell  2020. doi: 10.1016/j.cell.2020.08.017. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 226. Blom K, Braun M, Ivarsson MA, et al.  Temporal dynamics of the primary human T cell response to yellow fever virus 17D as it matures from an effector- to a memory-type response. J Immunol  2013; 190:2150–8. [DOI] [PubMed] [Google Scholar]
  • 227. Marovich M, Mascola JR, Cohen MS. Monoclonal antibodies for prevention and treatment of COVID-19. JAMA  2020; 324:131–2. [DOI] [PubMed] [Google Scholar]
  • 228. Baum A, Ajithdoss D, Copin R, et al.  REGN-COV2 antibodies prevent and treat SARS-CoV-2 infection in rhesus macaques and hamsters. Science  2020. doi: 10.1126/science.abe2402. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 229. Amanat F, Krammer F. SARS-CoV-2 vaccines: status report. Immunity  2020; 52:583–9. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 230. Dearlove B, Lewitus E, Bai H, et al.  A SARS-CoV-2 vaccine candidate would likely match all currently circulating variants. Proc Natl Acad Sci U S A  2020; 117:23652–62. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 231. WHO. Draft landscape of COVID-19 candidate vaccines. 2020. Available at: https://www.who.int/publications/m/item/draft-landscape-of-covid-19-candidate-vaccines. Accessed 26 September 2020. [Google Scholar]
  • 232. Nguyen LH, Drew DA, Graham MS, et al. ; COronavirus Pandemic Epidemiology Consortium Risk of COVID-19 among front-line health-care workers and the general community: a prospective cohort study. Lancet Public Health  2020; 5:e475–83. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 233. Hughes MM, Groenewold MR, Lessem SE, et al.  Update: characteristics of health care personnel with COVID-19 - United States, February 12-July 16, 2020. MMWR Morb Mortal Wkly Rep  2020; 69:1364–8. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 234. Self WH, Tenforde MW, Stubblefield WB, et al.  Seroprevalence of SARS-CoV-2 among frontline health care personnel in a multistate Hospital Network - 13 Academic Medical Centers, April-June 2020. MMWR Morb Mortal Wkly Rep  2020; 69:1221–6. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 235. Gandhi M, Rutherford GW. Facial masking for Covid-19 - potential for “Variolation” as we await a vaccine. N Engl J Med  2020. doi: 10.1056/NEJMp2026913. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 236. Imai M, Iwatsuki-Horimoto K, Hatta M, et al.  Syrian hamsters as a small animal model for SARS-CoV-2 infection and countermeasure development. Proc Natl Acad Sci U S A  2020; 117:16587–95. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 237. Watanabe T, Bartrand TA, Weir MH, Omura T, Haas CN. Development of a dose-response model for SARS coronavirus. Risk Anal  2010; 30:1129–38. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 238. Schroder I. COVID-19: a risk assessment perspective. ACS Chem Health Saf  2020. doi: 10.1021/acs.chas.0c00035. [DOI] [PubMed] [Google Scholar]
  • 239. Zabarsky TF, Bhullar D, Silva SY, et al.  What are the sources of exposure in healthcare personnel with coronavirus disease 2019 infection?  Am J Infect Control  2020. doi: 10.1016/j.ajic.2020.08.004. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 240. Kluytmans-van den Bergh MFQ, Buiting AGM, Pas SD, et al.  Prevalence and clinical presentation of health care workers with symptoms of coronavirus disease 2019 in 2 Dutch Hospitals during an early phase of the pandemic. JAMA Netw Open  2020; 3:e209673. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 241. Fischer RJ, Morris DH, van Doremalen N, et al.  Effectiveness of N95 respirator decontamination and reuse against SARS-CoV-2 virus. Emerg Infect Dis  2020; 26. doi: 10.3201/eid2609.201524. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 242. Nagler AR, Goldberg ER, Aguero-Rosenfeld ME, et al.  Early results from SARS-CoV-2 PCR testing of healthcare workers at an Academic Medical Center in New York City. Clin Infect Dis  2020. doi: 10.1093/cid/ciaa867. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 243. Chu DK, Akl EA, Duda S, et al.  Physical distancing, face masks, and eye protection to prevent person-to-person transmission of SARS-CoV-2 and COVID-19: a systematic review and meta-analysis. Lancet  2020; 395:1973–87. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 244. Shakya KM, Noyes A, Kallin R, Peltier RE. Evaluating the efficacy of cloth facemasks in reducing particulate matter exposure. J Expo Sci Environ Epidemiol  2017; 27:352–7. [DOI] [PubMed] [Google Scholar]
  • 245. Lynch JB, Davitkov P, Anderson DJ, et al.  Infectious Diseases Society of America guidelines on infection prevention for health care personnel caring for patients with suspected or known COVID-19. Clin Infect Dis  2020. doi: 10.1093/cid/ciaa1063. Available at: https://www.idsociety.org/practice-guideline/covid-19-guideline-infection-prevention/. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 246. Gottlieb S, Rivers C, McClellan M, Silvis L, Watson C. National coronavirus response: a road map to reopening. 2020. Available at: https://www.aei.org/research-products/report/national-coronavirus-response-a-road-map-to-reopening/. Accessed 26 September 2020. [Google Scholar]
  • 247. Allen JG, Marr LC. Recognizing and controlling airborne transmission of SARS-CoV-2 in indoor environments. Indoor Air  2020; 30:557–8. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 248. Nardell EA, Nathavitharana RR. Airborne spread of SARS-CoV-2 and a potential role for air disinfection. JAMA  2020; 324:141–2. [DOI] [PubMed] [Google Scholar]
  • 249. Gardner BJ, Kilpatrick AM. Contact tracing efficiency, transmission heterogeneity, and accelerating COVID-19 epidemics. medRxiv  2020. doi: 10.1101/2020.09.04.20188631. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 250. Kanamori H, Weber DJ, Rutala WA. The role of the healthcare surface environment in SARS-CoV-2 transmission and potential control measures. Clin Infect Dis  2020. doi: 10.1093/cid/ciaa1467. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 251. Hirose R, Ikegaya H, Naito Y, et al.  Survival of SARS-CoV-2 and influenza virus on the human skin: importance of hand hygiene in COVID-19. Clin Infect Dis  2020. doi: 10.1093/cid/ciaa1517. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 252. Riddell S, Goldie S, Hill A, Eagles D, Drew TW. The effect of temperature on persistence of SARS-CoV-2 on common surfaces. Virol J  2020; 17:145. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 253. Hsiang S, Allen D, Annan-Phan S, et al.  The effect of large-scale anti-contagion policies on the COVID-19 pandemic. Nature  2020; 584:262–7. [DOI] [PubMed] [Google Scholar]
  • 254. Petersen E, Koopmans M, Go U, et al.  Comparing SARS-CoV-2 with SARS-CoV and influenza pandemics. Lancet Infect Dis  2020; 20:e238–44. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 255. Kochańczyk M, Grabowski F, Lipniacki T. Super-spreading events initiated the exponential growth phase of COVID-19 with ℛ0 higher than initially estimated. R Soc Open Sci  2020; 7:200786. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 256. Adam D. A guide to R - the pandemic’s misunderstood metric. Nature  2020; 583:346–8. [DOI] [PubMed] [Google Scholar]
  • 257. Brauner JM, Mindermann S, Sharma M, et al.  The effectiveness of eight nonpharmaceutical interventions against COVID-19 in 41 countries. medRxiv  2020. doi: 10.1101/2020.05.28.20116129. [DOI] [Google Scholar]
  • 258. Ehrhardt J, Ekinci A, Krehl H, et al.  Transmission of SARS-CoV-2 in children aged 0 to 19 years in childcare facilities and schools after their reopening in May 2020, Baden-Württemberg, Germany. Euro Surveill  2020; 25. doi: 10.2807/1560-7917.ES.2020.25.36.2001587. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 259. Levinson M, Cevik M, Lipsitch M. Reopening primary schools during the pandemic. N Engl J Med  2020; 383:981–5. [DOI] [PubMed] [Google Scholar]

Articles from Clinical Infectious Diseases: An Official Publication of the Infectious Diseases Society of America are provided here courtesy of Oxford University Press

RESOURCES