Abstract
Asymptomatic infection occurs for numerous respiratory viral diseases, including influenza and coronavirus disease 2019 (COVID-19). We seek to clarify confusion in 3 areas: age-specific risks of transmission and/or disease; various definitions for the COVID-19 “mortality rate,” each useful for specific purposes; and implications for student return strategies from preschool through university settings.
Keywords: COVID-19, infection fatality risk, asymptomatic disease, school, children
Four human coronaviruses cause common cold or mild influenza-like symptoms, while severe acute respiratory syndrome coronavirus (SARS-CoV-1) and Middle East repiratory syndrome coronavirus (MERS-CoV) cause severe and potentially fatal acute respiratory syndrome (SARS) and Middle East respiratory syndrome (MERS), respectively [1, 2]. The novel coronavirus, severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), is the seventh zoonotic human coronavirus, causing coronavirus disease 2019 (COVID-19) [3]. Influenza, parainfluenza, measles, and respiratory syncytial virus are among the other respiratory viruses of substantial human concern [4–6]. Despite their lethality to the general population (occasionally) and to susceptible elderly and/or very young or immunocompromised persons (more often), all these infections can be transmitted by individuals who exhibit no symptoms of the disease, a hallmark of infectious disease epidemiology. Yet, the role that asymptomatic infections play in the transmission and burden of COVID-19 is misunderstood. We seek to clarify the importance of asymptomatic SARS-CoV-2 infection, its relevance to measuring the infection fatality risk (as opposed to the case fatality risk or mortality rate), and how these concepts apply to school reopening and student safety.
ASYMPTOMATIC INFECTION
Recent estimates suggest that 15–45% of all SARS-CoV-2 infections are asymptomatic [7–9]. All others can be considered to have a presymptomatic phase in which individuals are infectious prior to being symptomatic. This distinction between “presymptomatic” individuals who are incubating the virus, but have yet to exhibit symptoms, and true asymptomatic cases who will never be symptomatic led to recent confusion in May 2020 with contradictory World Health Organization public statements [10]. There is mounting evidence to suggest that presymptomatic individuals have high viral loads and are responsible for a large proportion of transmission [11–13], whereas the role that true asymptomatic cases play in population-level transmission of SARS-CoV-2 is just now being clarified as cruise ship, military barracks, sports teams, churches, and other cluster outbreaks are reported [14].
Symptomatic persons may harbor high viral loads and be more likely to sneeze or cough, thereby projecting droplets and smaller aerosols more efficiently. Nonetheless, many symptomatic persons may self-segregate and voluntarily reduce the number of people they come into contact with [15], such that transmission risk may be highest at or just before symptom onset [11–14], or from individuals who are asymptomatic or only mildly symptomatic. Some persons with respiratory symptoms may still care for family members, participate in group social activities, and/or go to work, especially when sick-leave policies are constrained [15–17]. Minimizing transmission depends on wearing masks, practicing physical distancing (≥2 meters), safe hand and face hygiene, cleansing surfaces, avoiding crowds and crowding, outdoor activities when feasible, and aggressive viral testing and quarantine [18–24].
MEASURING MORTALITY: IT’S CONFUSING BUT DOES NOT HAVE TO BE
The frequency of asymptomatic infection in COVID-19 is related to obfuscation by popular and even scientific media vis-à-vis “mortality rates.” Wide variations in so-called mortality rates from COVID-19 are reported, but confusion exists regarding definitions and selection biases affecting both the numerator and denominator [25]. A true mortality rate is the number of deaths per total population per time interval, as with estimating true COVID-19–related deaths from excess mortality rates [26]. But many other so-called mortality rate estimates are more accurately termed a case fatality risk (CFR; or a case fatality rate if assessed over a defined time period) since they derive from denominators of tested persons, omitting persons with mild disease or without symptoms who were never tested from the denominator [27]. (Suboptimal access to antigen/polymerase chain reaction/viral testing has been the global norm.) CFRs may differ based on background population characteristics; Chinese and Italian CFRs were 2.3% and 7.2%, respectively, likely reflecting the greater proportion of elderly afflicted in Italy [28]. A CFR is useful for measuring health-systems metrics (eg, delayed time to care, influence of comorbidities, or quality of healthcare), but they overestimate true mortality risks [29]. Surveys can guide more accurate assessments of the infection fatality risk (IFR; which also can be a rate over a defined time period), or risk of death among those symptomatically or asymptomatically infected, which is arguably more meaningful to considerations of societal reopening.
A Santa Clara County, California, quasi-representative Facebook-based survey of residents in early April 2020 suggested a range of 48 000–81 000 infected persons, or a population prevalence of 2.5–4.2% [30]. There were 140 deaths from COVID-19 as of 29 May 2020 [31]. While calculations are imperfect given time lags [32], the estimated IFR would be 0.17–0.29%.
The IFR is always lower than the CFR for the respiratory viruses. The CFR includes persons tested in the denominator, with symptomatic persons far better represented. The IFR is based on population-level denominator estimates, typically from surveys, such that the denominator better estimates the true infections, many of which would have been asymptomatic (or only mildly symptomatic) and would not have presented for testing. Epidemiologists and public health modelers use IFR to assess true lethality of a given infectious agent. Healthcare providers use CFR to assess quality of care and timeliness of clinical presentation and quality of care. When more representative, population-based serosurveys are available [33] and the true IFR can be estimated [34], we project that a United States–wide IFR of 0.1–1% will be confirmed. To put this into perspective, if we were to assume that approximately 60% of the population will eventually be infected as we gradually approach the herd immunity threshold (=1 – 1/R0) over several years without a vaccine or effective treatment and only imperfect preventive measures, and if we assume an IFR of 0.5% and a US population of 331 million, then we could see nearly 1 million deaths (0.6 × 0.005 × 331 000 000) in the United States. The final size of the epidemic is expected to be even larger if the epidemic goes unchecked.
A comparison with influenza is useful. The CFR of COVID-19 is higher than the CFR of influenza [34, 35], and the COVID-19 IFR is about 100 times higher than 1–10/100 000 estimates of the IFR for the 2009 pandemic influenza H1N1pdm09 virus [35]. Better IFR estimates are needed with more valid, accessible, and affordable point-of-care diagnostics. We believe that therapies and vaccines are forthcoming, but these calculations remind us of the urgency of maintaining physical distancing, face covering, hand/face/surface hygiene, testing/quarantine, and crowd control until new tools for therapy and prevention are available and deployed.
REOPENING SCHOOLS: CONSIDER ASYMPTOMATIC INFECTION AND MORTALITY RISKS
The issues of asymptomatic disease and IFR are highly relevant to school reopening decisions. Asymptomatic disease and mild disease that can resemble the common cold or influenza are common in children with COVID-19, and children have low CFRs [36, 37]. Principal concerns for SARS-CoV-2 infection in children include the infected child serving as a nidus of transmission to others, and rarely, severe disease in the infected child as with multisystem inflammatory syndrome in children (MIS-C) [37–39]. On average, children in the preschool and kindergarten to 12th grade (K-12) continuum come into contact with more people than the rest of the population; they typically do not adhere to hand hygiene and physical distancing, although mask use may be better encouraged and enforced if teachers and parents/guardians are motivated [40]. Thus, children are exceedingly good at spreading respiratory and fecal–oral infections. University students are generally young and healthy, and thereby also less likely to experience the severe COVID-19 disease, but they nevertheless pose a transmission risk to others in the community. University students who are in-residence in dormitories share risks like meningococcus, pertussis, and mumps, as occur in other crowded, high-risk environments (eg, barracks, factories, prisons, long-term care facilities, and cruise or naval ships).
Deaths in youth are far less frequent than is their representation in the general population. For example, 45% of the US population in 2019 were under 35 years of age, yet these represented less than 1% of COVID-19 deaths (Table 1). The principal concern with transmission in schools is that outbreaks can affect the older and/or more vulnerable individuals (eg, teachers, school workers, volunteers, grandparents, or immunocompromised children or adults) who are in proximity to school children. Also relevant is what we see each influenza season, namely school and family disruption of large numbers of children who are ill at any given time. Hence, it is incumbent on us all to reopen schools as safely as we can, to step up “gateway” testing opportunities (testing all children, staff, and faculty in the weeks just prior to school opening, with periodic retesting if feasible) if background incidence rates in a given community suggest the benefits of such an approach, and practice aggressive distancing, hygiene, and mask use in the school setting. Universal flu vaccine is a must, to minimize influenza burdens on schools in the December–March time frame (in the northern temperate zones).
Table 1.
Age Group in Years | Number of Deaths (N = 95 608) | Proportion of Total, % | Proportion Expected if Similar Attack Rate by Age: US Census, % |
---|---|---|---|
<1 | 5 | 0.02 | 18.7 |
1–4 | 3 | ||
5–14 | 13 | ||
15–24 | 116 | 0.79 | 26.7 |
25–34 | 640 | ||
35–44 | 1649 | 6.5 | 25.2 |
45–54 | 4588 | ||
55–64 | 11 439 | 32.7 | 22.6 |
65–74 | 19 857 | ||
75–84 | 25 520 | 59.9 | 6.6 |
≥85 | 31 778 |
Provisional COVID-19 deaths by age: https://data.cdc.gov/NCHS/Provisional-COVID-19-Death-Counts-by-Sex-Age-and-S/9bhg-hcku; accessed 14 June 2020. Data through 10 June 2020. US Census 2019 estimates.
Abbreviation: COVID-19, coronavirus disease 2019.
Costs will be incurred for personal protective equipment such as masks (including pediatric sizes), shields (advisable for close-in work, as with a science or art class), and gloves for cleaning. Logistics can be altered, as with one-way flow in corridors and stairwells. Heating, ventilation, and air conditioning (HVAC) systems can be reconfigured and adjusted to increase outdoor air exchange and/or filtering of air. Gymnasiums or lunchrooms or libraries can be used as classrooms to improve physical distancing. Outdoor activities (and even outdoor classrooms) can be encouraged. Issues around music, arts, drama, and sports are complex. A myriad of risk-reduction methods can be used, acknowledging that risk of serious illness or death is most compelling for the contacts of infected students (both symptomatic and asymptomatic) far more than the students themselves. Immunologically vulnerable students may be best taught through distance-learning settings. Children and parents/guardians and teachers/staff all can be educated as to why and how to stay safe.
In summary, asymptomatic transmission likely represents a substantial proportion of total new infections, such that novel coronavirus IFRs are lower than some respiratory pathogens, although higher than for pandemic influenza [41]. Education and adherence may be most challenging in the very young student, as well as in the “invincible” adolescent, so how to enlist children themselves as allies in control of COVID-19 is a vital challenge. A more nuanced view of risk helps us maximize safety in reopening schools at every level of instruction, from preschool to university. While we should not be paralyzed with fear for our children (polio or measles are far worse), the COVID-19 IFR is still far higher than for influenza. Neither exaggerated fears for our children (Table 1) nor naiveté as to the menace of resurgent disease [42] among the most vulnerable are appropriate.
Notes
Financial support. V. E. P. reports grants R01AI112970 and R01AI137093 from the National Insitutes of Health/National Institute of Allergy and Infectious Diseases during the conduct of the study.
Potential conflicts of Interest. V. E. P. reports travel expenses to attend Scientific Input Engagement from Merck and Pfizer, outside the submitted work, and is a member of the World Health Organization Immunization and Vaccine-related Implementation Research Advisory Committee (IVIR-AC). S. H. V. reports no potential conflicts. Both 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.Hui DSC, Zumla A. Severe acute respiratory syndrome: historical, epidemiologic, and clinical features. Infect Dis Clin North Am 2019; 33:869–89. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2.Bradley BT, Bryan A. Emerging respiratory infections: the infectious disease pathology of SARS, MERS, pandemic influenza, and Legionella. Semin Diagn Pathol 2019; 36:152–9. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3.Banerjee A, Kulcsar K, Misra V, Frieman M, Mossman K. Bats and coronaviruses. Viruses 2019; 11:41. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.Cantan B, Luyt CE, Martin-Loeches I. Influenza infections and emergent viral infections in intensive care unit. Semin Respir Crit Care Med 2019; 40:488–97. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Strebel PM, Orenstein WA. Measles. N Engl J Med 2019; 381:349–57. [DOI] [PubMed] [Google Scholar]
- 6.Nam HH, Ison MG. Respiratory syncytial virus infection in adults. BMJ 2019; 366:l5021. [DOI] [PubMed] [Google Scholar]
- 7.Oran DP, Topol EJ. Prevalence of asymptomatic SARS-CoV-2 infection: a narrative review. Ann Intern Med 2020. Published online June 3, 2020. doi: 10.7326/M20-3012. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Nishiura H, Kobayashi T, Miyama T, et al. . Estimation of the asymptomatic ratio of novel coronavirus infections (COVID-19). Int J Infect Dis 2020; 94:154–5. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Mizumoto K, Kagaya K, Zarebski A, Chowell G. Estimating the asymptomatic proportion of coronavirus disease 2019 (COVID-19) cases on board the Diamond Princess cruise ship, Yokohama, Japan, 2020. Euro Surveill 2020; 25:2000180. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Fernandez M WHO walks back comments on asymptomatic transmission of coronavirus. Axios, June 9, 2020. Available at: https://www.axios.com/who-asymptomatic-coronavirus-69c56ce3-41e0-4ea7-ab2a-de866713b4cf.html. Accessed 12 June 2020. [Google Scholar]
- 11.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]
- 12.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]
- 13.Jing QL, Liu MJ, Yuan J, et al. . Household secondary attack rate of COVID-19 and associated determinants in Guangzhou, China: a retrospective cohort study. Lancet Infect Dis 2020; Published online June 3, 2020. doi: 10.1016/S1473-3099(20)30471-0. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Savvides C, Siegel R. Asymptomatic and presymptomatic transmission of SARS-CoV-2: a systematic review. medRxiv [Preprint]. Available at: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7310638/. Accessed 29 June 2020. [Google Scholar]
- 15.Edwards CH, Tomba GS, Sonbo Kristiansen I, White R, de Blasio BF. Evaluating costs and health consequences of sick leave strategies against pandemic and seasonal influenza in Norway using a dynamic model. BMJ Open 2019; 9:e027832. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Xue Y, Kristiansen IS, de Blasio BF. Dynamic modelling of costs and health consequences of school closure during an influenza pandemic. BMC Public Health 2012; 12:962. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Bleser WK, Miranda PY, Salmon DA. Child influenza vaccination and adult work loss: reduced sick leave use only in adults with paid sick leave. Am J Prev Med 2019; 56:251–261. [DOI] [PubMed] [Google Scholar]
- 18.Pourbohloul B, Meyers LA, Skowronski DM, Krajden M, Patrick DM, Brunham RC. Modeling control strategies of respiratory pathogens. Emerg Infect Dis 2005; 11:1249–56. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.West R, Michie S, Rubin GJ, Amlôt R. Applying principles of behaviour change to reduce SARS-CoV-2 transmission. Nat Hum Behav 2020; 4:451–9. [DOI] [PubMed] [Google Scholar]
- 20.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. Published online June 1, 2020. doi: 10.1016/S0140-6736(20)31142-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Wang Y, Tian H, Zhang L, et al. . Reduction of secondary transmission of SARS-CoV-2 in households by face mask use, disinfection and social distancing: a cohort study in Beijing, China. BMJ Glob Health 2020; 5:e002794. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22.Abaluck J, Chevalier JA, Christakis NA, et al. . The case for universal cloth mask adoption and policies to increase supply of medical masks for health workers. SSRN: Social Science Research Network, April 1, 2020:12. Available at: https://ssrn.com/abstract=3567438 or http://dx.doi.org/10.2139/ssrn.3567438, Accessed 14 June 2020. [Google Scholar]
- 23.Zhang R, Li Y, Zhang AL, Wang Y, Molina MJ. Identifying airborne transmission as the dominant route for the spread of COVID-19. Proc Natl Acad Sci USA. Published online June 11, 2020. doi: 10.1073/pnas.2009637117. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24.Eikenberry SE, Mancuso M, Iboi E, et al. . To mask or not to mask: Modeling the potential for face mask use by the general public to curtail the COVID-19 pandemic. Infect Dis Model 2020; 5:293–308. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.Aleta A, Martin-Corral D, Pastore Y, et al. . Modeling the impact of social distancing, testing, contact tracing and household quarantine on second-wave scenarios of the COVID-19 epidemic. medRxiv [Preprint]. May 18, 2020. doi: 10.1101/2020.05.06.20092841. Accessed 29 June 2020. [DOI] [Google Scholar]
- 26.Weinberger DM, Chen J, Cohen T, et al. . Estimating the early death toll of COVID-19 in the United States. JAMA Int Med. In press. [Google Scholar]
- 27.Lipsitch M, Donnelly CA, Fraser C, et al. . potential biases in estimating absolute and relative case-fatality risks during outbreaks. PLoS Negl Trop Dis 2015; 9:e0003846. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28.Onder G, Rezza G, Brusaferro S. Case-fatality rate and characteristics of patients dying in relation to COVID-19 in Italy. JAMA. Published online March 23, 2020. doi: 10.1001/jama.2020.4683. [DOI] [PubMed] [Google Scholar]
- 29.Kelly H, Cowling BJ. Case fatality: rate, ratio, or risk? Epidemiology 2013; 24:622–3. [DOI] [PubMed] [Google Scholar]
- 30.Bendavid E, Mulaney B, Sood N, et al. . COVID-19 antibody seroprevalence in Santa Clara County, California. medRxiv [Preprint]. April 14, 2020. Available at: https://www.medrxiv.org/content/10.1101/2020.04.14.20062463v2. Accessed 29 June 2020. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31.Santa Clara County Public Health Coronavirus (COVID-19) Data Dashboard. Available at: https://www.sccgov.org/sites/covid19/Pages/dashboard.aspx. Accessed 29 May 2020.
- 32.Verity R, Okell LC, Dorigatti I, et al. . Estimates of the severity of coronavirus disease 2019: a model-based analysis. Lancet Infect Dis 2020; 20:669–77. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33.Unwin HJ, Mishra S, Bradley VC, et al. . State-level tracking of COVID-19 in the United States. Available at: https://www.imperial.ac.uk/mrc-global-infectious-disease-analysis/covid-19/report-23-united-states/. Accessed 29 May 2020. [DOI] [PMC free article] [PubMed]
- 34.Ioannidis J. The infection fatality rate of COVID-19 inferred from seroprevalence data. medRxiv [Preprint]. June 8, 2020. Available at: https:// 10.1101/2020.05.13.20101253. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35.Wong JY, Kelly H, Ip DK, Wu JT, Leung GM, Cowling BJ. Case fatality risk of influenza A (H1N1pdm09): a systematic review. Epidemiology 2013; 24:830–41. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36.Presanis AM, De Angelis D, Hagy A, et al. ; New York City Swine Flu Investigation Team . The severity of pandemic H1N1 influenza in the United States, from April to July 2009: a Bayesian analysis. PLoS Med 2009; 6:e1000207. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 37.Dong Y, Mo X, Hu Y, et al. . Epidemiology of COVID-19 among children in China. Pediatrics 2020; 145:e20200702. [DOI] [PubMed] [Google Scholar]
- 38.Ludvigsson JF. Systematic review of COVID-19 in children shows milder cases and a better prognosis than adults. Acta Paediatr 2020; 109:1088–95. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 39.Walker DM, Tolentino VR. COVID-19: the effects on the practice of pediatric emergency medicine. Pediatr Emerg Med Pract 2020; 17:1–15. [PubMed] [Google Scholar]
- 40.Mossong J, Hens N, Jit M, et al. . Social contacts and mixing patterns relevant to the spread of infectious diseases. PLoS Med 2008; 5:e74. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 41.Hadler JL, Konty K, McVeigh KH, et al. . Case fatality rates based on population estimates of influenza-like illness due to novel H1N1 influenza: New York City, May-June 2009. PLoS One 2010; 5:e11677. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 42.Basu Z Trump contradicts health officials on who can get a coronavirus test. Axios, May 11, 2020. Available at: https://www.axios.com/trump-coronavirus-testing-giroir-d83b4703-6d23-47ac-974e-972a8fc85702.html. Accessed 12 June 2020. [Google Scholar]