The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Characterizing Long COVID in an International Cohort: 7 Months of Symptoms and Their Impact
Open accessPreprint — published as 10.1016/j.eclinm.2021.101019 · Paper page
Abstract
Growing evidence shows that a significant number of patients with COVID-19 experience prolonged symptoms, known as Long COVID. Few systematic studies exist which investigate this population, and hence, relatively little is known about the range in symptom makeup and severity, expected clinical course, impact on daily functioning, and expected return to baseline health. In this study, we analysed responses from 3,762 participants with confirmed (diagnostic/antibody positive; 1,020) or suspected (diagnostic/antibody negative or untested; 2,742) COVID-19, from 56 countries, with illness duration of at least 28 days. 3608 (96%) reported symptoms beyond 90 days. Prevalence of 205 symptoms in 10 organ systems was estimated in this cohort, with 66 symptoms traced over seven months. Except for loss of smell and taste, the prevalence and trajectory of all symptoms were similar between groups with confirmed and suspected COVID-19. Respondents experienced an average of 14.5 symptoms in an average of 9.08 organ systems. Three clusters of symptoms were identified based on their prevalence over time. The most likely early symptoms were fatigue, dry cough, shortness of breath, headaches, muscle aches, chest tightness, and sore throat. The most frequent symptoms reported after month 6 were fatigue, post-exertional malaise, and cognitive dysfunction. Majority (>85%) experienced relapses, with exercise, physical or mental activity, and stress as the main triggers. 1,700 (45.2%) reported requiring a reduced work schedule compared to pre-illness and 839 (22.3%) were not working at the time of survey due to their health conditions. Significance Statement: Results from our international online survey of 3,762 individuals with suspected or confirmed COVID-19 illness suggest that Long COVID is composed of heterogeneous post-acute infection sequelae that often affect multiple organ systems, with impact on functioning and quality of life ranging from mild to severe. This study represents the largest collection of symptoms identified in the Long COVID population to date, and is the first to quantify individual symptom trajectory over time, for 7 months. Three clusters of symptoms were quantified, each with different morphologies over time. The clusters of symptoms that persist longest include a combination of the neurological/cognitive and systemic symptoms. The reduced work capacity because of cognitive dysfunction, in addition to other debilitating symptoms, translated into the loss of hours, jobs, and ability to work relative to pre-illness levels. Structured Abstract: Objective: To characterize the symptom profile and time course in patients with Long COVID, along with the impact on daily life, work, and return to baseline health. Design: International web-based survey of suspected and confirmed COVID-19 cases with illness lasting over 28 days and onset prior to June 2020. Setting: Survey distribution via online COVID-19 support groups and social media Participants: 3,762 respondents from 56 countries completed the survey. 1166 (31.0%) were 40-49 years old, 937 (25.0%) were 50-59 years old, 905 (24.1%) were 30-39 years old, 277 (7.4%) were 18-29 years old, and 477 (12.7%) were above 60 years old. 2961 (78.9%) were women, 718 (19.1%) were men, and 63 (1.7%) were nonbinary. 317 (8.4%) reported being hospitalized. 1020 (27.1%) reported receiving a laboratory-confirmed diagnosis of COVID-19. 3608 (96%) reported symptoms beyond 90 days. Results: Prevalence of 205 symptoms in 10 organ systems was estimated in this cohort, with 66 symptoms traced over seven months. Except for loss of smell and taste, the prevalence and trajectory of all other symptoms are similar between confirmed (diagnostic/antibody positive) and suspected groups (diagnostic/antibody negative or untested). Respondents experienced symptoms in an average of 9.08 (95% confidence interval 9.04 to 9.13) organ systems. The most frequent symptoms reported after month 6 were: fatigue (77.7%, 74.9% to 80.3%), post-exertional malaise (72.2%, 69.3% to 75.0%), and cognitive dysfunction (55.4%, 52.4% to 58.8%). These three symptoms were also the three most commonly reported overall. In those who recovered in less than 90 days, the average number of symptoms peaked at week 2 (11.4, 9.4 to 13.6), and in those who did not recover in 90 days, the average number of symptoms peaked at month 2 (17.2, 16.5 to 17.8). Respondents with symptoms over 6 months experienced an average of 13.8 (12.7 to 14.9) symptoms in month 7. 85.9% (84.8% to 87.0%) experienced relapses, with exercise, physical or mental activity, and stress as the main triggers. 86.7% (85.6% to 92.5%) of unrecovered respondents were experiencing fatigue at the time of survey, compared to 44.7% (38.5% to 50.5%) of recovered respondents. 45.2% (42.9% to 47.2%) reported requiring a reduced work schedule compared to pre-illness and 22.3% (20.5% to 24.3%) were not working at the time of survey due to their health conditions. Conclusions: Patients with Long COVID report prolonged multisystem involvement and significant disability. Most had not returned to previous levels of work by 6 months. Many patients are not recovered by 7 months, and continue to experience significant symptom burden.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Using thematic analysis in psychology
Braun, V., & Clarke, V. (2006) · Qualitative Research in Psychology · doi:10.1191/1478088706qp063oa · Cited by 194,414
Persistent Symptoms in Patients After Acute COVID-19
Carfì, A., Bernabei, R., Landi, F., & for the Gemelli Against COVID-19 Post-Acute Care Study Group (2020) · JAMA · doi:10.1001/jama.2020.12603 · Cited by 4,561
Research works printed but not linked: 37
- 10.1016/S0140-6736(20)31823-7 · DOI
- 10.1101/2020.08.12.20173526 · DOI
- 10.1016/j.hrthm.2020.06.026 · DOI · Paper page
- 10.1101/2020.12.08.20246025 · DOI
- 10.1016/j.socscimed.2020.113426 · DOI · Paper page
- 10.15585/mmwr.mm6930e1 · DOI · Paper page
- 10.1101/2020.10.19.20214494 · DOI
- 10.1016/j.jinf.2020.12.002 · DOI
- 10.2307/2289144 · doi:10.2307/2289144 · Paper page
- 10.1007/978-1-4419-6646-9 · DOI · Paper page
- 10.1093/cid/ciaa1792 · DOI · Paper page
- 10.1136/pgmj.2006.055046 · DOI
- 10.3389/fneur.2020.01025 · DOI · Paper page
- 10.1348/1359107041557048 · DOI · Paper page
- 10.1007/978-1-4419-9893-4_33 · DOI
- 10.1016/j.tmaid.2020.101832 · DOI
- 10.1111/1742-6723.13578 · DOI
- 10.1186/s41182-020-00201-2 · DOI
- NIH Workshop on Post-Acute Sequelae of COVID-19 (Day 2). https://videocast.nih.gov/watch=38879
- 10.7759/cureus.2435 · DOI
- 10.1016/j.ijid.2020.09.016 · DOI · Paper page
- 10.1136/bmj.m3026 · DOI · Paper page
- 2020, Neurologic manifestations of nonhospitalized patients with COVID-19 in Wuhan, China, MedComm, 1, 253, 10.1002/mco2.13 · DOI
- 10.1177/0730888413481030 · DOI
- 10.1101/2020.11.04.20226126 · DOI
- 10.1080/22221751.2020.1772679 · DOI · Paper page
- 10.1136/bmj.m1808 · DOI · Paper page
- 10.7326/M20-1495 · DOI · Paper page
- 10.1101/2020.04.16.20066787 · DOI · Paper page
- 10.1001/jama.2020.3864 · DOI · Paper page
- 10.1016/j.ebiom.2020.102903 · DOI
- 10.3201/eid2606.200301 · DOI · Paper page
- 10.1001/jama.2020.25457 · DOI
- 10.1038/s41586-021-03207-w · DOI · Paper page
- 10.1101/2020.10.20.20215863 · DOI
- 10.1183/23120541.00542-2020 · DOI · Paper page
- 10.3390/jcm9092946 · DOI
Cited by
Long covid—mechanisms, risk factors, and management
Crook, H., Raza, S., Nowell, J., Young, M., & Edison, P. (2021) · BMJ · doi:10.1136/bmj.n1648 · Cited by 1,655
Fatigue and cognitive impairment in Post-COVID-19 Syndrome: a systematic review and meta-analysis
Ceban, F., Ling, S., Lui, L. M. W., Lee, Y., Gill, H., Teopiz, K. M., Rodrigues, N. B., Subramaniapillai, M., Di Vincenzo, J. D., Cao, B., et al. (2022) · Brain, Behavior, and Immunity · doi:10.1016/j.bbi.2021.12.020 · Cited by 1,554
Long COVID or post-COVID-19 syndrome: putative pathophysiology, risk factors, and treatments
Yong, S. J. (2021) · Infectious Diseases · doi:10.1080/23744235.2021.1924397 · Cited by 1,339
Chen, C., Haupert, S. R., Zimmermann, L., Shi, X., Fritsche, L. G., & Mukherjee, B. (2022) · The Journal of Infectious Diseases · doi:10.1093/infdis/jiac136 · Cited by 1,366
Symptoms, complications and management of long COVID: a review
Aiyegbusi, O. L., Hughes, S. E., Turner, G., Rivera, S. C., McMullan, C., Chandan, J. S., Haroon, S., Price, G., Davies, E. H., Nirantharakumar, K., et al. (2021) · Journal of the Royal Society of Medicine · doi:10.1177/01410768211032850 · Cited by 969
Metadata
- Authors
- Davis, H. E., Assaf, G. S., McCorkell, L., Wei, H., Low, R. J., Re’em, Y., Redfield, S., Austin, J. P., & Akrami, A.
- Venue
- medRxiv
- Publisher
- openRxiv
- Published
- 2020-12-26
- OpenAlex
- W3115058895
- Cited by
- 387
- References
- 2
- Type
- posted content
- Language
- en
- Open access
- green
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Characterizing Long COVID in an International Cohort: 7 Months of Symptoms and Their Impact. https://app.cochat.ai/papers/10.1101/2020.12.24.20248802
- The paper
- Davis, H. E., Assaf, G. S., McCorkell, L., Wei, H., Low, R. J., Re’em, Y., Redfield, S., Austin, J. P., & Akrami, A. (2020). Characterizing Long COVID in an International Cohort: 7 Months of Symptoms and Their Impact. medRxiv. https://doi.org/10.1101/2020.12.24.20248802
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.