Accurate, timely data during the coronavirus pandemic guides decisions on limiting transmission and allocating resources. But what are the drawbacks, merits, accessibility, and biases of coronavirus datasets, models and testing? What do we know about uptake of coronavirus data? What can we learn from changing demand for data?
This second blog in the series summarizes the existing data on sex-disaggregated COVID-19 cases and deaths from Global Health 50/50 and asks how complete our picture is when compared to all reported cases and deaths.
We know that the COVID-19 pandemic is affecting men and women differently and that gender roles shape pandemic responses. Now, thanks volunteer efforts via Global Health 50/50, new data are revealing the true impact of COVID-19 on men and women around the world.
As data-driven decision making is critical during the pandemic, ODW updated its special edition of What’s Being Said on COVID-19 (organized by data value chain stages) and also partnered with Data2X to review the gender impact of the pandemic. A virtual ODIN training session for Uzbekistan looked at country-specific ways to improve open data, and a number of new sustainable development data reports appeared.