Learning from Coronavirus Data Use and Demand

Accurate and timely data during the coronavirus pandemic guides decisions on limiting transmission and allocating resources. But there is debate about the drawbacks, merits, accessibility, and biases of coronavirus datasets, models and testing. What do we know about the uptake of coronavirus data? What can we learn from changing demand for data?