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Using prediction polling to harness collective intelligence for disease forecasting

During infectious disease epidemics, public health workers require an early warning, situational awareness, and predictive information. Sentinel surveillance, laboratory reporting, and case identification are all traditional methods of infectious disease surveillance that provide crucial information for outbreak response, management, and decision-making. However, real-time and predictive outbreak data is frequently lacking, making it difficult for practitioners…

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