Table 2. Summary Characteristics of the Data Sourcesa.
Studies with access to individual-level data | Studies without access to individual-level data | Medical claims databasesc: matched COVID-19–negative controls | |||
---|---|---|---|---|---|
Data on health status before COVID-19 | No data on health status before COVID-19b | COVID-19–negative control group | No control group | ||
Age, mean (SD), y | 53.7 (20.6) | 48.6 (18.6) | 35.8 (12.8) | 47.2 (14.9) | 52.6 (21.7) |
Sex, % | |||||
Male | 50.0 | 53.8 | 45.8 | 48.0 | 44.7 |
Female | 50.0 | 46.2 | 54.2 | 52.0 | 55.3 |
Countries with input datad | Austria,19 Iran,15 Italy,18 the Netherlands,16 Russia,17,20 Switzerland14 | Faroe Islands,24 Germany,25,26 Sweden,27,28 US29 | China,30 Denmark,31 Norway,32 UK,10,33,34 US35 | Australia,36 Belgium,37 China,38 France,39,40,41,42 India,43,44 Iran,45 Israel,46,47 Italy,48,49,50,51,52,53 the Netherlands,54 Norway,55 Saudi Arabia,56 South Africa,57 Spain,58,59,60,61,62 Switzerland,63 Turkey,64 UK,11,65,66,67,68,69 US9,70,71,72 | US73,74 |
Hospitalizede | 10 198 | 328 | 8516 | 9915 | 250 928 |
Not hospitalized | 1355 | 551 | 34 375 | 586 | 846 046 |
Stratified by method of controlling for non–COVID-attributable symptoms. Details of each study appear in eTable 1 in Supplement 1.
Data were adjusted by the ratio of excess risk of Long COVID symptoms to total symptoms from the 6 collaborating cohort studies that reported these types of data.
Based on a range of demographic and comorbid conditions, 2 US administrative databases were used to match controls to cases with a positive polymerase chain reaction test for COVID-19. The difference between the cases and controls was used as the proportion of symptoms attributable to COVID-19.
All extracted data used in the analyses appear in Supplement 3.
Received care in general hospital ward or intensive care unit.