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Found 3 papers, 1 papers with code
Dynamic Bayesian Influenza Forecasting in the United States with Hierarchical Discrepancy
Timely and accurate forecasts of seasonal influenza would assist public health decision-makers in planning intervention strategies, efficiently allocating resources, and possibly saving lives.
Applications
Global disease monitoring and forecasting with Wikipedia
Infectious disease is a leading threat to public health, economic stability, and other key social structures.
Inferring the Origin Locations of Tweets with Quantitative Confidence
Social Internet content plays an increasingly critical role in many domains, including public health, disaster management, and politics.
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