Abstract
Public health policies are only as good as the quality of the data on which they are based. Policy decisions that are so crucial to containing an emerging pathogen are challenged by the sparsity of data on which to optimise them. The earlier, and more completely, the data can be compiled, the better the robustness of risk estimates, forecasting, and modelling. Within 3 weeks of the announcement by WHO of an anomalous cluster of severe coronavirus cases in Wuhan, China, the Johns Hopkins University (JHU) Center for Systems Science and Engineering (CSSE) launched the COVID-19 Dashboard.
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