Abstract
Background
Health care workers (HCWs) are at the frontline of the fight against the coronavirus disease 2019 (COVID-19). Long COVID is defined as “the persistence of some symptoms of COVID-19, more than 4 weeks after the initial infection.” The aim of the present study was to investigate the prevalence of long COVID status among HCWs in the largest hospital complex of Iran.
Methods
In this cross-sectional study, all patients with COVID-19 who had taken sick leave were included in the study (n = 445). Data regarding sick leave characteristics were collected from the records of the nursing management department of the hospital. Study variables included demographic and occupational information, variables related to mental health assessment, organ systems involved in COVID-19, and duration of symptoms. Frequencies, percentage distributions, means, standard deviation, and range (minimum, maximum) were used as descriptive analysis methods. Associations between symptoms’ persistency and clinical characteristics were assessed by logistic and linear regressions.
Results
Age, N95 mask use, and respiratory protection significantly contributed to the persistence of COVID-19 symptoms (P < 0.05). The prevalence of long COVID among HCWs was 9.44% among 445 participants. The loss of taste persisted longer than the other symptoms before returning to normal. Among the postrecovery complications asked, anxiety was the most common persistent mental symptom (58.5%), followed by gloomy mood (46.3%) and low interest (46.2%), respectively.
Conclusion
HCWs with COVID-19 symptoms had prolonged symptoms of COVID-19 that can affect their work performance, thus, we recommend evaluating COVID-19 symptoms in HCWs with infection history.
Keywords: Long COVID, Health Care Workers, COVID-19
↑What is “already known” in this topic:
COVID-19 symptoms and their persistency have been discussed well in previous studies but long COVID has been less discussed.
→What this article adds:
To our knowledge, this is the first study to examine long COVID among HCWs in Iran .
Introduction
In December 2019, human infection with the SARS-CoV-2 or COVID-19 respiratory virus first appeared in Wuhan, China (1). Since its identification, the virus has spread around the world, infecting many people, with a wide spectrum from mild to severe disease. According to the World Health Organization, as of Aguest 27, 2022, the disease has infected approximately 596,873,121 and killed 6,459,684 people (2).
During an outbreak, health care workers (HCWs) are at the frontline of the fight against this disease. Due to their greater exposure to the disease agent, there is more concern about the incidence of the disease and its consequences in this population. In addition, the illness of health workers can spread the disease to other hospital patients, family members, and the community. The rate of HCWs infection with COVID-19 has been reported in various articles between 0.9% and 19% (3-6); however, the exact number is unknown.
The term “long COVID” was first used by Elisa Perego (7). This combination is meant to prolong the duration of COVID-19 disease and actually includes cyclical, progressive, and multiphasic diseases. Even though there is still a lot of discussion surrounding this term, we describe it as persistent COVID-19 symptoms occurring 4 to 12 weeks after infection (8). Long COVID, like acute COVID, involves not only the respiratory system but also many organs of the body and adversely affects them; therefore, it needs special attention.
Examining the prevalence of long COVID and then considering ways to prevent and treat this condition as soon as possible can be of great help to solve this problem given the importance of HCWs' health as well as the heavy burden on the health system and society in case of their illness and absence from work. On the other hand, we have limited evidence on the prevalence of long COVID symptoms among HCWs. Therefore, the aim of the present study was to investigate the prevalence of long COVID among HCWs.
Methods
This was a cross-sectional study conducted between July and September of 2020 in Imam-Khomeini hospital complex (IKHC) and approved by the ethics committee of Tehran University of Medical Sciences (Ethics code: IR.TUMS.IKHC.REC.1399.297).
All patients with COVID-19 who had taken sick leave were recruited in the study. Data regarding sick leave characteristics were collected from the records of the nursing management department of hospital. Verbal consent was obtained from all of them. The sample size eligible for the study was 445 people. All survey participants who had registered with sickness absenteeism due to COVID-19 were included in our study. and the exclusion criterion was unwillingness to participate in the study.
Data on eligible individuals were recorded in a data collecting sheet by individual interviews. Study variables included demographic (age, sex, and level of education) and occupational information, variables related to mental health assessment (anxiety and depression), organ systems involved in COVID-19, sleep problems, duration of symptoms and other factors that may be influential, such as smoking, excersise and and so on. Long COVID-19 was defined as persistency of some COVID-19 symptoms for more than 4 weeks after the initial infection.
The data were analyzed statistically with SPSS software (IBM SPSS), with a P value of < 0.05 indicating statistical significance. Frequencies and percentage distributions were used to describe the categorical variables. Means, standard deviation, and range (minimum, maximum) were used to describe the quantitative variables as descriptive analysis methods.
Associations between symptoms persistency and clinical characteristics were assessed by logistic and linear regressions.
In this study, taste/smell loss, hoarseness, nasal congestion, cervical mass, and epistaxis were included as ear, nose and throat (ENT) symptoms. rash, urticaria, and hair loss were included as skin symptoms. Blurred vision, red eye, and tearing were included as eye symptoms. dyspnea, cough, and rhinorrhea were included as respiratory symptoms. Nausea, vomiting, and diarrhea were included as gastrointestinal symptoms. Fever, chill, sweat, anorexia, tiredness, and lethargy were included as constitutional symptoms. Sore throat, headache, abdominal pain, myalgia, arthralgia, otalgia, and ophthalmodynia were included as pain. Hypertension, tachycardia, palpitation, and hypotension were included as cardiovascular symptoms. Insomnia, interrupted sleep, long sleep, and somnolence were included as sleep problems. Dizziness/vertigo, palpitation, memory impairment, red eye, eye itching, emotional lability, sensory impairment, and ear congestion were included as other symptoms.
Our symptoms questions were open and these symptoms were reported at least one time.
Results
In this study, 77.1% of participants were women and the mean (SD) age was 35.2 years (± 8.500). Underlying disease was present in 20.1% (n = 89). Nearly 66% (n = 289) of those surveyed did not wear the N95 mask at work but almost 99% (n = 436) used some forms of respiratory protection (Table 1 and Table 2).
Table 1. Descriptive statistics of qualitative study variables.
| Categorical Variable | n (%) | |
|---|---|---|
| Gender | ||
| Male | 102 (22.9) | |
| Female | 343 (77.1) | |
| Underlying Disease | ||
| No | 353 (79.9) | |
| Yes | 89 (20.1) | |
| N95 Use | ||
| No | 289 (65.7) | |
| Yes | 151 (34.3) | |
| Respiratory Protection | ||
| No | 5 (1.1) | |
| Yes | 436 (98.9) | |
Table 2. Descriptive statistics of qualitative study variables.
| Continuous Variable | Mean (SD) | Min-Max |
|---|---|---|
| Age, Year | 35.20 (26.7-43.7) | 21-59 |
| BMI*, kg/m2 | 25.19 (21.17-29.21) | 15-42 |
| Sick leave, Days | 9.09 (2.25-15.93) | 0-60 |
| Persistency, days | 12.55 (0.13-24.97) | 1-120 |
* Body Mass Index
The duration of symptoms varied from 1 day to 120 days. The mean days of absence from work and the average persistence of symptoms were 9.09 and 12.55 days, respectively. The prevalence of long COVID among HCWs was 9.44% among 445 participants in this study (Table 3). Non-long COVID involved 403 participants (90.56%).
Table 3. Comparative statistics of Study groups based on Long COVID.
| Characteristic | Long COVID | Non-Long COVID | P-Value |
|---|---|---|---|
| Gender | 0.523 | ||
| Female: n(%) | 291 (%76.6) | 34 (%81) | |
| Male: n(%) | 89 (%23.4) | 8 (%19) | |
| Job | 0.405 | ||
| Nurse | 227 (%60) | 28 (%66.6) | |
| Other (Nursing aid, OR1 technician, Anesthetic technician) | 151 (%40) | 14 (%33.3) | |
| Working unit | 0.270 | ||
| General | 178 (%47.7) | 15 (%38.5) | |
| Critical | 195 (%52.3) | 24 (%61.5) | |
| Ward | 0.146 | ||
| Emergency | 69 (%18.5) | 9 (%23) | |
| General | 178 (%47.7) | 15 (%38.5) | |
| ICU2 | 76 (%20.4) | 11 (%28.2) | |
| OR | 50 (%13.4) | 4 (%10.3) | |
| Flu Vaccin ation | 0.317 | ||
| Yes | 101 (%26.8) | 14 (%34.1) | |
| No | 276 (%23.2) | 27 (%65.9) | |
| Underlying disease | 0.807 | ||
| Yes | 75 (%19.8) | 9 (%21.4) | |
| No | 303 (%80.2) | 33 (%78.6) | |
| Smoking | 1.000 | ||
| Yes | 21 (%5.6) | 2 (4.8) | |
| No | 354 (%94.4) | 40 (95.2) | |
| Exercise history | 0.422 | ||
| Yes | 121 (%32.3) | 11 (%26.2) | |
| No | 254 (%67.7) | 31 (%73.8) | |
| Non-Work-related Exposure to COVID-19 | 0.565 | ||
| Yes | 34 (%9.2) | 5 (%11.9) | |
| No | 337 (%90.8) | 37 (%88.1) | |
| Using N95 mask | 0.091 | ||
| Yes | 121 (%32.3) | 19 (%45.2) | |
| No | 254 (%67.7) | 23 (%54.8) | |
| Using Surgical mask | 0.928 | ||
| Yes | 333 (%88.6) | 37 (%88.1) | |
| No | 43 (%11.4) | 5 (%11.9) | |
| Using Medical Body suit | 0.092 | ||
| Yes | 218 (%58.0) | 30 (%71.4) | |
| No | 158 (%42.0) | 12 (%28.6) | |
| Using Face Shield | 0.241 | ||
| Yes | 151(%40.6) | 21 (%50) | |
| No | 221(%59.4) | 21 (%50) | |
| Using Respiratory protection (using N95 or surgical mask) | 0.0346 | ||
| Yes | 373 (%99.2) | 41 (%97.6) | |
| No | 3 (%0.8) | 1 (%2.4) | |
| Using Eye protection | 0.389 | ||
| Yes | 188 (%49.9) | 24 (%57.1) | |
| No | 187 (%50.1) | 18 (%42.9) | |
| Hand Hygiene | 1.000 | ||
| Yes | 376 (%99.5) | 42 (%100) | |
| No | 2 (%0.5) | 0 (%0) | |
| PPE3 Quantity* | 0.029 | ||
| Sufficient | 301 (%79.8) | 27 (%64.3) | |
| Insufficient | 76 (%20.2) | 15 (%35.7) | |
| PPE Quality** | 0.087 | ||
| Well | 256 (%67.9) | 23 (%54.8) | |
| Not well | 121 (%32.1) | 19 (%45.2) | |
* Sufficiency of personal protective equipment provided based on the individual's own statement
** Quality of personal protective equipment provided based on the individual's own statement
1. Operating Room
2. Intensive Care Unit
3. Personal Protective Equipment
In both long COVID and non-long COVID groups, the majority of participants were women and nurses. Employees in critical wards, such as the emergency and COVID-19 wards showed a higher incidence of the disease. Among the asked cases, only “using respiratory protection” and “personal protective equipment quantity” were identified as statistically significant and had a significant effect on reducing the incidence of long COVID (Table 3).
We examined age, sex, body mass index, underlying diseases, using the N95 mask, and using respiratory protection as predictors of symptom persistency by using linear regression. Among these, age, N95 mask use, and respiratory protection significantly contributed to the persistence of COVID-19 symptoms (P < 0.05) (Table 4).
Table 4. Predictors of symptom persistency in healthcare workers with COVID-19.
| Variable | Beta | Standard Error | Standardized Beta | T score | P-Value |
|---|---|---|---|---|---|
| Age | 0.161 | 0.080 | 0.104 | 2.017 | 0.044 |
| sex | 2.867 | 1.480 | 0.094 | 1.937 | 0.054 |
| BMI | -0.239 | 0.165 | -0.073 | -1.449 | 0.148 |
| Underlying disease | -1.240 | 1.556 | -0.039 | -0.797 | 0.426 |
| N95 Mask | 3.488 | 1.318 | 0.127 | 2.646 | 0.009 |
| Respiratory Protection | -19.728 | 8.338 | -0.117 | -2.366 | 0.019 |
| Sick leave | 0.727 | 0.091 | 0.406 | 7.956 | <0.001 |
Participants in the study were also asked about the symptoms based on the organ involved. The constitutional symptoms were the most prevalent symptoms (n = 414 [93.3% of all participants]) while cardiovascular symptoms (n = 8 [1.8% of all participants]) were the rarest (Figure 1).
Figure 1.
The Number of participants by symptoms (Involved persons)

Among the postrecovery complications asked, anxiety was more common than the others so that only 41.5% of people reported experiencing no amount of anxiety, while this number was 53.8%, 53.7%, and 60.8% for low interest, gloomy mood, and sleep problems, respectively (Figure 2).
Figure 2.
Post-recovery mental and sleep complications (%)

The frequency of cardiovascular symptoms (P = 0.036) and gastrointestinal symptoms (P = 0.037) differed significantly between the 2 groups with and without long COVID, but the other types of symptoms did not show any significant difference between the 2 groups.
Discussion
The present study was designed to investigate long COVID among HCWs in the largest hospital complex of Iran. The importance of examining the factors affecting the incidence of COVID-19 (especially long COVID) among HCWs is obvious to everyone. The findings of the present study can prevent HCWs from COVID-19 and then transmitting the disease from one HCW to another.
From the beginning of the COVID-19 pandemic, there was a great deal of concern about HCWs contracting the disease and its aftermath, that is, transferring it to their families, colleagues, and patients, as well as staff shortages. One study reported that 49% of HCWs with COVID-19 were at work for at least 1 day after being symptomatic before calling the HCW hotline (9). Early studies showed that fever and cough were the first signs of the disease (10). Therefore, diagnostic tests are expected to be performed as soon as a HCW develops these symptoms to prevent transmission of the virus to other people.
Dev et al (11) stated that the prevalence of COVID-19 is highest in nurses and sanitation workers of medical centers and lowest in clerical workers and technicians. He attributed this difference to the fact that nurses are more exposed to the virus. Several previous studies have demonstrated the effect of personal protective equipment on reducing COVID-19 incidence among HCWs (11-13). In our study, the effect of respiratory protection was also measured, which showed that people who used the N95 mask were significantly less likely to develop long COVID. This finding is consistent with a systematic review by Chu et al (14), since they also concluded that using the mask versus not using it (n = 2647; aOR 0.15 [95% CI, 0.07-0.34], difference −14.3% [95% CI, −15.9 to −10.7]), as well as using the N95 mask versus the 3-layer surgical mask, reduces the risk of infection. In fact, our study and other studies emphasize the important role of respiratory protection in reducing the incidence of COVID-19 and the persistence of symptoms (long COVID). Studies have also shown that HCWs who work in high-risk areas for the production of the aerosols carrying SARS-CoV-2 virus (such as respiratory department, infectious department, etc) or in areas where intervention or surgery is performed are at greater risk (13 ).
Long COVID is actually associated with patients whose symptoms last longer than expected. The term “long COVID” was first coined by a professor of infectious diseases in the BMJ Opinion journal (15). After that, with the increasing use of this combination in social networks and articles, long COVID became famous in the world of medicine. Today, the National Institute for Health & Care Excellence guidelines (8) and the Centers for Disease Control and Prevention (16) define long COVID as “the persistence of some symptoms of COVID-19 more than 4 weeks after the initial infection.” The COVID-19 symptom prevalence for 5 weeks was 22.1% and for 12 weeks was 9.9%, according to the UK Office for National Statistics (2).
Long COVID involve different parts of the body. Respiratory, cardiovascular, gastrointestinal, mental, cognitive, olfactory, and also constitutional symptoms are among the main symptoms. In our study, olfactory and gustatory dysfunction was the last symptom to return to normal. Previous studies have reported the prevalence of this symptom up to 45.1% (17). The UK Office for National Statistics estimates that the prevalence of persistent lack of sense of smell and taste for 5 weeks is 7.9% and 8.2%, respectively (2). Fatigue, which is a constitutional symptom of COVID, is considered a permanent symptom in most studies (18-21). However, in our study, it lasted an average of 13.33 days. The COVID-19 pandemic also affects the psychological realm. The most common persistent mental symptom in our study was anxiety, which has possible causes such as isolation, inability to work, and so on.
Although some studies have identified age and preexisting conditions as risk factors for long COVID (22), others have found no association between them (23). It should be noted, however, that in 1 study, asthma was significantly associated with this condition (24). For the treatment of long COVID, various medical institutions have published (and probably will) a number of guidelines that are currently used to treat this medical condition (8, 25, 26).
HCWs are no exception to long COVID, and as mentioned, getting this condition and taking more sick leave imposes more burden on the health system and community. In a study by Doherty et al, of 114 senior specialist doctors, 77% screened positive for burnout and 25% had long COVID (27). The incidence of long COVID among HCWs, the typical symptoms that last a long time, and how long they last, as well as measures to prevent this illness, were all thoroughly explored in the present study. It is hoped that HCWs will follow the hygienic principles of preventing COVID-19 and, if they are infected, proper treatment can prevent the disease from progressing to long COVID as much as possible.
Conclusion
To our knowledge, this is the first study to examine long COVID among HCWs. The prevalence of long COVID among HCWs in our study was 9.44%. Age, N95 mask use, and respiratory protection significantly contributed to the persistence of COVID-19 symptoms. Olfactory and gustatory dysfunction returned to normal later and the constitutional symptoms improved sooner than the others. Among the postrecovery complications asked in this study, anxiety was the most common complication. It seems that further studies are needed for investigation of long COVID in patients with this disease, especially HCWs.
Conflict of Interests
The authors declare that they have no competing interests.
Acknowledgments
This work would not have been possible without the cooperation of the health care workers of Imam Khomeini hospital complex and the help and support of Parastoo Aryamloo (Nurse manager of Imam Khomeini Hospital Complex, Tehran University of Medical Sciences, Tehran, Iran) and Azam Karimi (Head of Occupational Health & Safety unit of Imam Khomeini Hospital Complex, Tehran University of Medical Sciences, Tehran, Iran).
Ethical Approval
This study has received the ethical code IR.TUMS.IKHC.REC.1399.297 at the ethic's committee of Tehran University of Medical Sciences.
Cite this article as : Izadi N, Najafi A, Sadeghniiat-Haghighi Kh, Mohammadi H. Characterization of Long COVID and Its Contributing Factors among a Population of Health Care Workers in a 6-Month Follow-up. Med J Islam Repub Iran. 2023 (28 Mar);37:29. https://doi.org/10.47176/mjiri.37.29
References
- 1. World Health Organization (WHO). Novel Coronavirus (2019-nCoV): situation report, November. 2020.
- 2. World Health Organization (WHO). WHO Coronavirus (COVID-19) Dashboard. 2022. Aguest 27, 2022. Available from: https://covid19.who.int.
- 3.Lai X, Wang M, Qin C, Tan L, Ran L, Chen D. et al. Coronavirus disease 2019 (COVID-2019) infection among health care workers and implications for prevention measures in a tertiary hospital in Wuhan, China. JAMA Netw Open. 2020;3(5):e209666. doi: 10.1001/jamanetworkopen.2020.9666. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.Sikkema RS, Pas SD, Nieuwenhuijse DF, O'Toole Á, Verweij J, van der. et al. COVID-19 in health-care workers in three hospitals in the south of the Netherlands: a cross-sectional study. Lancet Infect Dis. 2020;20(11):1273. doi: 10.1016/S1473-3099(20)30527-2. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Covid C, Team R, COVID C, Team R, COVID C, Team R. et al. Characteristics of health care personnel with COVID-19—United States, February 12–April 9, 2020. MMWR. 2020;69(15):477. doi: 10.15585/mmwr.mm6915e6. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Kluytmans-van Den, Buiting AG, Pas SD, Bentvelsen RG, Van Den, Van Oudheusden. 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(5):e209673. doi: 10.1001/jamanetworkopen.2020.9673. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.Perego E, Callard F, Stras L, Melville-Jóhannesson B, Pope R, Alwan NA. Why the patient-made term'long covid'is needed. Wellcome Open Res. 2020;5(224):224. [Google Scholar]
- 8.Crook H, Raza S, Nowell J, Young M, Edison P. Long covid—mechanisms, risk factors, and management. BMJ. 2021;374 doi: 10.1136/bmj.n1648. [DOI] [PubMed] [Google Scholar]
- 9.Malenfant JH, Newhouse CN, Kuo AA. Frequency of coronavirus disease 2019 (COVID-19) symptoms in healthcare workers in a large health system. Infect Control Hosp Epidemiol. 2021;42(11):1403. doi: 10.1017/ice.2020.1297. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Zhang JJ, Dong X, Cao YY, Yuan YD, Yang YB, Yan YQ. et al. Clinical characteristics of 140 patients infected with SARS‐CoV‐2 in Wuhan, China. Allergy. 2020;75(7):1730. doi: 10.1111/all.14238. [DOI] [PubMed] [Google Scholar]
- 11.Dev N, Meena RC, Gupta D, Gupta N, Sankar J. Risk factors and frequency of COVID-19 among healthcare workers at a tertiary care centre in India: a case–control study. Trans R Soc Trop Med Hyg. 2021;115(5):551. doi: 10.1093/trstmh/trab047. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Gómez-Ochoa SA, Franco OH, Rojas LZ, Raguindin PF, Roa-Díaz ZM, Wyssmann BM. et al. COVID-19 in health-care workers: a living systematic review and meta-analysis of prevalence, risk factors, clinical characteristics, and outcomes. Am J Epidemiol. 2021;190(1):161. doi: 10.1093/aje/kwaa191. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Ran L, Chen X, Wang Y, Wu W, Zhang L, Tan X. Risk factors of healthcare workers with corona virus disease 2019: a retrospective cohort study in a designated hospital of Wuhan in China. Clin Infect Dis. 2020 doi: 10.1093/cid/ciaa287. [DOI] [PMC free article] [PubMed]
- 14.Chu DK, Akl EA, Duda S, Solo K, Yaacoub S, Schünemann HJ. 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(10242):1973. doi: 10.1016/S0140-6736(20)31142-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Garner P. Paul Garner: For 7 weeks I have been through a roller coaster of ill health, extreme emotions, and utter exhaustion. BMJ. 2020
- 16.Datta SD, Talwar A, Lee JT. A proposed framework and timeline of the spectrum of disease due to SARS-CoV-2 infection: illness beyond acute infection and public health implications. JAMA. 2020;324(22):2251. doi: 10.1001/jama.2020.22717. [DOI] [PubMed] [Google Scholar]
- 17.Otte MS, Eckel HNC, Poluschkin L, Klussmann JP, Luers JC. Olfactory dysfunction in patients after recovering from COVID-19. Acta Otolaryngol. 2020;140(12):1032. doi: 10.1080/00016489.2020.1811999. [DOI] [PubMed] [Google Scholar]
- 18.Carfì A, Bernabei R, Landi F. Persistent symptoms in patients after acute COVID-19. JAMA. 2020;324(6):603. doi: 10.1001/jama.2020.12603. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Halpin SJ, McIvor C, Whyatt G, Adams A, Harvey O, McLean L. et al. Postdischarge symptoms and rehabilitation needs in survivors of COVID‐19 infection: A cross‐sectional evaluation. J Med Virol. 2021;93(2):1013. doi: 10.1002/jmv.26368. [DOI] [PubMed] [Google Scholar]
- 20.Townsend L, Dyer AH, Jones K, Dunne J, Mooney A, Gaffney F. et al. Persistent fatigue following SARS-CoV-2 infection is common and independent of severity of initial infection. Plos one. 2020;15(11):e0240784. doi: 10.1371/journal.pone.0240784. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.D'Cruz RF, Waller MD, Perrin F, Periselneris J, Norton S, Smith L-J. et al. Chest radiography is a poor predictor of respiratory symptoms and functional impairment in survivors of severe COVID-19 pneumonia. ERJ Open Res. 2021;7(1) doi: 10.1183/23120541.00655-2020. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22.Tenforde MW, Kim SS, Lindsell CJ, Rose EB, Shapiro NI, Files DC. 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. 2020;69(30):993. doi: 10.15585/mmwr.mm6930e1. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23.Moreno-Perez O, Merino E, Leon-Ramirez J, Andres M, Ramos J, Arenas-Jimenez J. Post-acute COVID-19 syndrome. Incidence and risk factors: A Mediterranean cohort study. J Infect. 2021;82(3):378–383. doi: 10.1016/j.jinf.2021.01.004. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24.Sudre CH, Murray B, Varsavsky T, Graham MS, Penfold RS, Bowyer RC. et al. Attributes and predictors of Long-COVID: analysis of COVID cases and their symptoms collected by the Covid Symptoms Study App. . Medrxiv . 2020
- 25. COVID-19 clinical management: living guidance. WHO. 25 January 2021.
- 26.Baigent C, Windecker S, Andreini D, Arbelo E, Barbato E, Bartorelli AL. et al. ESC guidance for the diagnosis and management of cardiovascular disease during the COVID-19 pandemic: part 2-care pathways, treatment, and follow-up. Cardiovasc Res. 2021 doi: 10.1093/cvr/cvab343. [DOI] [PMC free article] [PubMed]
- 27.Doherty AM, Colleran GC, Durcan L, Irvine AD, Barrett E. A pilot study of burnout and long covid in senior specialist doctors. Ir J Med Sci. 2022 Feb;191(1):133–137. doi: 10.1007/s11845-021-02594-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
