COVID-19 Gender Matrix
The matrix below list examples of the intersectional impacts of the COVID-19 outbreak and response. To see further examples click on the intersecting domains. The matrix will be updated regularly. If there are examples you think should be included please email email@example.com
The COVID-19 gender matrix aims to provide a rapid snapshot of gendered and intersectional impacts of the outbreak and response. The China (mainland) matrix includes findings from searches conducted between 20 January 20 and 15 June 2020. Searches were conducted using Chinese and English keywords in Baidu, CNKI database, and through targeted searches of government and organisational websites. We reviewed results, selecting those that presented concrete examples of the impacts of COVID-19 (including journal articles, research papers, speeches, press conferences, and statement). Each selected example was then coded based on a horizontal and vertical category in the matrix. Where more than one example was found per category intersection, we selected the most 'suitable' for the front-facing matrix, but we do urge viewers to view other examples in the linked pages. Decisions regarding coding and which examples to list in the front-facing matrix were discussed with the team to achieve consensus and thematic continuity.
We recognize that the matrix is not a complete picture, but a rapid snapshot, and that there is substantial room for bias to shape its presentation. If you see particular gaps or omissions in the matrix please let us know. This is a dynamic process and we would appreciate the feedback. Please email firstname.lastname@example.org