UN Women and WHO join forces to bridge the gender data gap and provide latest available data on COVID-19 cases by sex and age. As more gender data is produced and disaggregated, it will be available here.
Lorenz Noe and Eric Swanson (Open Data Watch) are creating a blog series in which they summarize the existing data from Global Health 50/50 to analyze the impact of COVID-19 on men and women around the world, and ask how complete the picture is when compared to all reported cases and deaths.
In addition, they examine distribution of sex-disaggregated cases and deaths across other dimensions. These include income and regional distributions of cases and deaths, discussions of differing estimates across sources, as well as evaluations of the availability and timeliness of complementary indicators to track the primary impacts of the pandemic, such as sex-disaggregated occupations and risk of exposure.
