Sick leave due to COVID-19 during the first pandemic wave in France, 2020 Article Swipe
David R. Smith
,
Sofía Jijón
,
Ajmal Oodally
,
George Shirreff
,
Karim Aït Bouziad
,
Pearl Anne Ante-Testard
,
Jonathan Bastard
,
Hanifa Bouziri
,
Oumou Salama Daouda
,
Tom Duchemin
,
Anne-Sophie Godon-Rensonnet
,
Paul Henriot
,
Yasmine Houri
,
Hélène Neynaud
,
Anne Perozziello
,
Frédérique Thonon
,
Pascal Crépey
,
William Dab
,
Kévin Jean
,
Laura Temime
·
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.1136/oemed-2022-108451
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.1136/oemed-2022-108451
Objectives To quantify the burden of COVID-19-related sick leave during the first pandemic wave in France, accounting for sick leaves due to symptomatic COVID-19 (‘symptomatic sick leaves’) and those due to close contact with COVID-19 cases (‘contact sick leaves’). Methods We combined data from a national demographic database, an occupational health survey, a social behaviour survey and a dynamic SARS-CoV-2 transmission model. Sick leave incidence from 1 March 2020 to 31 May 2020 was estimated by summing daily probabilities of symptomatic and contact sick leaves, stratified by age and administrative region. Results There were an estimated 1.70M COVID-19-related sick leaves among France’s 40M working-age adults during the first pandemic wave, including 0.42M due to COVID-19 symptoms and 1.28M due to COVID-19 contacts. There was great geographical variation, with peak daily sick leave incidence ranging from 230 in Corse (Corsica) to 33 000 in Île-de-France (the greater Paris region), and greatest overall burden in regions of north-eastern France. Regional sick leave burden was generally proportional to local COVID-19 prevalence, but age-adjusted employment rates and contact behaviours also contributed. For instance, 37% of symptomatic infections occurred in Île-de-France, but 45% of sick leaves. Middle-aged workers bore disproportionately high sick leave burden, owing predominantly to greater incidence of contact sick leaves. Conclusions France was heavily impacted by sick leave during the first pandemic wave, with COVID-19 contacts accounting for approximately three-quarters of COVID-19-related sick leaves. In the absence of representative sick leave registry data, local demography, employment patterns, epidemiological trends and contact behaviours can be synthesised to quantify sick leave burden and, in turn, predict economic consequences of infectious disease epidemics.
Related Topics
Concepts
Sick leave
Pandemic
Coronavirus disease 2019 (COVID-19)
Incidence (geometry)
Demography
Medicine
Geography
Disease
Physical therapy
Internal medicine
Sociology
Physics
Infectious disease (medical specialty)
Optics
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1136/oemed-2022-108451
- https://oem.bmj.com/content/oemed/early/2023/03/13/oemed-2022-108451.full.pdf
- OA Status
- hybrid
- Cited By
- 12
- References
- 11
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4324032571
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4324032571Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1136/oemed-2022-108451Digital Object Identifier
- Title
-
Sick leave due to COVID-19 during the first pandemic wave in France, 2020Work title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2023Year of publication
- Publication date
-
2023-03-13Full publication date if available
- Authors
-
David R. Smith, Sofía Jijón, Ajmal Oodally, George Shirreff, Karim Aït Bouziad, Pearl Anne Ante-Testard, Jonathan Bastard, Hanifa Bouziri, Oumou Salama Daouda, Tom Duchemin, Anne-Sophie Godon-Rensonnet, Paul Henriot, Yasmine Houri, Hélène Neynaud, Anne Perozziello, Frédérique Thonon, Pascal Crépey, William Dab, Kévin Jean, Laura TemimeList of authors in order
- Landing page
-
https://doi.org/10.1136/oemed-2022-108451Publisher landing page
- PDF URL
-
https://oem.bmj.com/content/oemed/early/2023/03/13/oemed-2022-108451.full.pdfDirect link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
hybridOpen access status per OpenAlex
- OA URL
-
https://oem.bmj.com/content/oemed/early/2023/03/13/oemed-2022-108451.full.pdfDirect OA link when available
- Concepts
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Sick leave, Pandemic, Coronavirus disease 2019 (COVID-19), Incidence (geometry), Demography, Medicine, Geography, Disease, Physical therapy, Internal medicine, Sociology, Physics, Infectious disease (medical specialty), OpticsTop concepts (fields/topics) attached by OpenAlex
- Cited by
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12Total citation count in OpenAlex
- Citations by year (recent)
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2025: 8, 2024: 2, 2023: 2Per-year citation counts (last 5 years)
- References (count)
-
11Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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| primary_location.raw_source_name | Occupational and Environmental Medicine |
| primary_location.landing_page_url | https://doi.org/10.1136/oemed-2022-108451 |
| publication_date | 2023-03-13 |
| publication_year | 2023 |
| referenced_works | https://openalex.org/W3024975978, https://openalex.org/W3093107565, https://openalex.org/W3093429938, https://openalex.org/W3041693516, https://openalex.org/W3164741739, https://openalex.org/W3134334642, https://openalex.org/W4221110401, https://openalex.org/W3025090814, https://openalex.org/W3215790293, https://openalex.org/W3029298186, https://openalex.org/W4226532189 |
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