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Using gender analysis matrixes to integrate a gender lens into infectious diseases outbreaks research

Evidence shows that infectious disease outbreaks are not gender-neutral, meaning that women, men and gender minorities are differentially affected. This evidence affirms the need to better incorporate a gender lens into infectious disease outbreaks. Despite this evidence, there has been a historic n...

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Autores principales: Morgan, Rosemary, Davies, Sara E, Feng, Huiyun, Gan, Connie C R, Grépin, Karen A, Harman, Sophie, Herten-Crabb, Asha, Smith, Julia, Wenham, Clare
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9347024/
https://www.ncbi.nlm.nih.gov/pubmed/34894132
http://dx.doi.org/10.1093/heapol/czab149
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author Morgan, Rosemary
Davies, Sara E
Feng, Huiyun
Gan, Connie C R
Grépin, Karen A
Harman, Sophie
Herten-Crabb, Asha
Smith, Julia
Wenham, Clare
author_facet Morgan, Rosemary
Davies, Sara E
Feng, Huiyun
Gan, Connie C R
Grépin, Karen A
Harman, Sophie
Herten-Crabb, Asha
Smith, Julia
Wenham, Clare
author_sort Morgan, Rosemary
collection PubMed
description Evidence shows that infectious disease outbreaks are not gender-neutral, meaning that women, men and gender minorities are differentially affected. This evidence affirms the need to better incorporate a gender lens into infectious disease outbreaks. Despite this evidence, there has been a historic neglect of gender-based analysis in health, including during health crises. Recognizing the lack of available evidence on gender and pandemics in early 2020 the Gender and COVID-19 project set out to use a gender analysis matrix to conduct rapid, real-time analyses while the pandemic was unfolding to examine the gendered effects of the coronavirus disease 2019 pandemic. This paper reports on what a gender analysis matrix is, how it can be used to systematically conduct a gender analysis, how it was implemented within the study, ways in which the findings from the matrix were applied and built upon, and challenges encountered when using the matrix methodology.
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spelling pubmed-93470242022-08-04 Using gender analysis matrixes to integrate a gender lens into infectious diseases outbreaks research Morgan, Rosemary Davies, Sara E Feng, Huiyun Gan, Connie C R Grépin, Karen A Harman, Sophie Herten-Crabb, Asha Smith, Julia Wenham, Clare Health Policy Plan Methodological Musings Evidence shows that infectious disease outbreaks are not gender-neutral, meaning that women, men and gender minorities are differentially affected. This evidence affirms the need to better incorporate a gender lens into infectious disease outbreaks. Despite this evidence, there has been a historic neglect of gender-based analysis in health, including during health crises. Recognizing the lack of available evidence on gender and pandemics in early 2020 the Gender and COVID-19 project set out to use a gender analysis matrix to conduct rapid, real-time analyses while the pandemic was unfolding to examine the gendered effects of the coronavirus disease 2019 pandemic. This paper reports on what a gender analysis matrix is, how it can be used to systematically conduct a gender analysis, how it was implemented within the study, ways in which the findings from the matrix were applied and built upon, and challenges encountered when using the matrix methodology. Oxford University Press 2022-01-19 /pmc/articles/PMC9347024/ /pubmed/34894132 http://dx.doi.org/10.1093/heapol/czab149 Text en © The Author(s) 2021. Published by Oxford University Press in association with The London School of Hygiene and Tropical Medicine. https://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial License (https://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com
spellingShingle Methodological Musings
Morgan, Rosemary
Davies, Sara E
Feng, Huiyun
Gan, Connie C R
Grépin, Karen A
Harman, Sophie
Herten-Crabb, Asha
Smith, Julia
Wenham, Clare
Using gender analysis matrixes to integrate a gender lens into infectious diseases outbreaks research
title Using gender analysis matrixes to integrate a gender lens into infectious diseases outbreaks research
title_full Using gender analysis matrixes to integrate a gender lens into infectious diseases outbreaks research
title_fullStr Using gender analysis matrixes to integrate a gender lens into infectious diseases outbreaks research
title_full_unstemmed Using gender analysis matrixes to integrate a gender lens into infectious diseases outbreaks research
title_short Using gender analysis matrixes to integrate a gender lens into infectious diseases outbreaks research
title_sort using gender analysis matrixes to integrate a gender lens into infectious diseases outbreaks research
topic Methodological Musings
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9347024/
https://www.ncbi.nlm.nih.gov/pubmed/34894132
http://dx.doi.org/10.1093/heapol/czab149
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