Cargando…
Occupation and SARS-CoV-2 seroprevalence studies: a systematic review
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 m...
Autores principales: | , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9979591/ https://www.ncbi.nlm.nih.gov/pubmed/36854599 http://dx.doi.org/10.1136/bmjopen-2022-063771 |
_version_ | 1784899754483777536 |
---|---|
author | Boucher, Emily Cao, Christian D’Mello, Sean Duarte, Nathan Donnici, Claire Duarte, Natalie Bennett, Graham Adisesh, Anil Arora, Rahul Kodama, David Bobrovitz, Niklas |
author_facet | Boucher, Emily Cao, Christian D’Mello, Sean Duarte, Nathan Donnici, Claire Duarte, Natalie Bennett, Graham Adisesh, Anil Arora, Rahul Kodama, David Bobrovitz, Niklas |
author_sort | Boucher, Emily |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-9979591 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BMJ Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-99795912023-03-03 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 BMJ Open Occupational and Environmental Medicine 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. BMJ Publishing Group 2023-02-28 /pmc/articles/PMC9979591/ /pubmed/36854599 http://dx.doi.org/10.1136/bmjopen-2022-063771 Text en © World Health Organization 2023. Licensee BMJ. https://creativecommons.org/licenses/by/3.0/igo/This is an open access article distributed under the terms of the Creative Commons Attribution IGO License (CC BY 3.0 IGO (https://creativecommons.org/licenses/by/3.0/igo/) ), which permits use, distribution, and reproduction in any medium, provided the original work is properly cited. In any reproduction of this article there should not be any suggestion that WHO or this article endorse any specific organization or products. The use of the WHO logo is not permitted. This notice should be preserved along with the article’s original URL.Disclaimer: The author is a staff member of the World Health Organization. The author alone is responsible for the views expressed in this publication and they do not necessarily represent the views, decisions or policies of the World Health Organization. |
spellingShingle | Occupational and Environmental Medicine Boucher, Emily Cao, Christian D’Mello, Sean Duarte, Nathan Donnici, Claire Duarte, Natalie Bennett, Graham Adisesh, Anil Arora, Rahul Kodama, David Bobrovitz, Niklas Occupation and SARS-CoV-2 seroprevalence studies: a systematic review |
title | Occupation and SARS-CoV-2 seroprevalence studies: a systematic review |
title_full | Occupation and SARS-CoV-2 seroprevalence studies: a systematic review |
title_fullStr | Occupation and SARS-CoV-2 seroprevalence studies: a systematic review |
title_full_unstemmed | Occupation and SARS-CoV-2 seroprevalence studies: a systematic review |
title_short | Occupation and SARS-CoV-2 seroprevalence studies: a systematic review |
title_sort | occupation and sars-cov-2 seroprevalence studies: a systematic review |
topic | Occupational and Environmental Medicine |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9979591/ https://www.ncbi.nlm.nih.gov/pubmed/36854599 http://dx.doi.org/10.1136/bmjopen-2022-063771 |
work_keys_str_mv | AT boucheremily occupationandsarscov2seroprevalencestudiesasystematicreview AT caochristian occupationandsarscov2seroprevalencestudiesasystematicreview AT dmellosean occupationandsarscov2seroprevalencestudiesasystematicreview AT duartenathan occupationandsarscov2seroprevalencestudiesasystematicreview AT donniciclaire occupationandsarscov2seroprevalencestudiesasystematicreview AT duartenatalie occupationandsarscov2seroprevalencestudiesasystematicreview AT bennettgraham occupationandsarscov2seroprevalencestudiesasystematicreview AT occupationandsarscov2seroprevalencestudiesasystematicreview AT adiseshanil occupationandsarscov2seroprevalencestudiesasystematicreview AT arorarahul occupationandsarscov2seroprevalencestudiesasystematicreview AT kodamadavid occupationandsarscov2seroprevalencestudiesasystematicreview AT bobrovitzniklas occupationandsarscov2seroprevalencestudiesasystematicreview |