Real-time forecasting of data revisions in epidemic surveillance streams
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Read Full ArticleAuthor summary Accurate and reliable forecasts of infectious disease epidemics, such as COVID-19, are essential but challenging. The presence of data revisions in public health data streams can introduce significant biases in both predictors and responses, le…
Written by: Jingjing Tang, Aaron Rumack, Bryan Wilder, Roni Rosenfeld
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