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Published on: July 14, 2023
Using gender analysis matrixes to integrate a gender lens into infectious diseases outbreaks research
Rosemary Morgan1, Sara E Davies2, Huiyun Feng2
1Department of International Health, Johns Hopkins Bloomberg School of Public Health, 615. North Wolfe Street, Baltimore, MD 21205, USA.
None:
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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