Morgan, Rosemary, Davies, Sara E., Feng, Huiyun, Gan, Connie C.R., Grépin, Karen A., Harman, Sophie, Herten-Crabb, Asha
ORCID: 0000-0003-1251-8109, Smith, Julia and Wenham, Clare
ORCID: 0000-0001-5378-3203
(2022)
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
|
Text (czab149)
- Published Version
Available under License Creative Commons Attribution Non-commercial. Download (220kB) |
Abstract
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.
| Item Type: | Article |
|---|---|
| Official URL: | https://academic.oup.com/heapol |
| Additional Information: | © 2021 The Authors |
| Divisions: | Health Policy |
| Subjects: | R Medicine > RA Public aspects of medicine > RA0421 Public health. Hygiene. Preventive Medicine H Social Sciences > HV Social pathology. Social and public welfare. Criminology H Social Sciences > HQ The family. Marriage. Woman |
| Date Deposited: | 18 Aug 2022 16:27 |
| Last Modified: | 05 Nov 2025 08:45 |
| URI: | http://eprints.lse.ac.uk/id/eprint/116033 |
Actions (login required)
![]() |
View Item |

Download Statistics
Download Statistics