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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...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2022
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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. |
format | Online Article Text |
id | pubmed-9347024 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
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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