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, AshaORCID logo; Smith, Julia; and Wenham, ClareORCID logo Using gender analysis matrixes to integrate a gender lens into infectious diseases outbreaks research Health Policy and Planning, 37 (7). 935 - 941. ISSN 1460-2237
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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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