Anticipating Outbreaks with Imperfect Data

Anticipating disease emergence is a challenge with clear public health ramifications. Theoretical studies have already demonstrated that epidemic transitions are in principle preceded by detectable temporal trends in statistics (early-warning signals). We investigated the robustness of these early-warning signals under simulated realistic disease reporting scenarios, testing the effects of case reporting error, reporting probability, and […]

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