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Occupation and SARS-CoV-2 seroprevalence studies: a systematic review.
Boucher, Emily; Cao, Christian; D'Mello, Sean; Duarte, Nathan; Donnici, Claire; Duarte, Natalie; Bennett, Graham; Adisesh, Anil; Arora, Rahul; Kodama, David; Bobrovitz, Niklas.
  • Boucher E; Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada emily.boucher@ucalgary.ca.
  • Cao C; Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada.
  • D'Mello S; Faculty of Engineering, University of Waterloo, Waterloo, Ontario, Canada.
  • Duarte N; Faculty of Engineering, McGill University, Montreal, Québec, Canada.
  • Donnici C; Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada.
  • Duarte N; Faculty of Arts and Science, University of Toronto, Toronto, Ontario, Canada.
  • Bennett G; Department of Economics, McGill University, Montreal, Québec, Canada.
  • Adisesh A; St. Michael's Hospital, Unity Health Toronto, Toronto, Ontario, Canada.
  • Arora R; Division of Occupational Medicine, University of Toronto, Toronto, Ontario, Canada.
  • Kodama D; Canadian Health Solutions, Saint John, New Brunswick, Canada.
  • Bobrovitz N; Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada.
BMJ Open ; 13(2): e063771, 2023 02 28.
Artículo en Inglés | MEDLINE | ID: covidwho-2252775
ABSTRACT

OBJECTIVE:

To describe and synthesise studies of SARS-CoV-2 seroprevalence by occupation prior to the widespread vaccine roll-out.

METHODS:

We identified studies of occupational seroprevalence from a living systematic review (PROSPERO CRD42020183634). Electronic databases, grey literature and news media were searched for studies published during January-December 2020. Seroprevalence estimates and a free-text description of the occupation were extracted and classified according to the Standard Occupational Classification (SOC) 2010 system using a machine-learning algorithm. Due to heterogeneity, results were synthesised narratively.

RESULTS:

We identified 196 studies including 591 940 participants from 38 countries. Most studies (n=162; 83%) were conducted locally versus regionally or nationally. Sample sizes were generally small (median=220 participants per occupation) and 135 studies (69%) were at a high risk of bias. One or more estimates were available for 21/23 major SOC occupation groups, but over half of the estimates identified (n=359/600) were for healthcare-related occupations. 'Personal Care and Service Occupations' (median 22% (IQR 9-28%); n=14) had the highest median seroprevalence.

CONCLUSIONS:

Many seroprevalence studies covering a broad range of occupations were published in the first year of the pandemic. Results suggest considerable differences in seroprevalence between occupations, although few large, high-quality studies were done. Well-designed studies are required to improve our understanding of the occupational risk of SARS-CoV-2 and should be considered as an element of pandemic preparedness for future respiratory pathogens.
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Texto completo: Disponible Colección: Bases de datos internacionales Base de datos: MEDLINE Asunto principal: COVID-19 Tipo de estudio: Estudio experimental / Estudio observacional / Estudio pronóstico / Ensayo controlado aleatorizado / Revisiones / Revisión sistemática/Meta análisis Tópicos: Vacunas Límite: Humanos Idioma: Inglés Revista: BMJ Open Año: 2023 Tipo del documento: Artículo País de afiliación: Bmjopen-2022-063771

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Texto completo: Disponible Colección: Bases de datos internacionales Base de datos: MEDLINE Asunto principal: COVID-19 Tipo de estudio: Estudio experimental / Estudio observacional / Estudio pronóstico / Ensayo controlado aleatorizado / Revisiones / Revisión sistemática/Meta análisis Tópicos: Vacunas Límite: Humanos Idioma: Inglés Revista: BMJ Open Año: 2023 Tipo del documento: Artículo País de afiliación: Bmjopen-2022-063771