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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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Detalles Bibliográficos
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
Descripción
Sumario: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.