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Found 3 papers, 1 papers with code
Correcting for heterogeneity in real-time epidemiological indicators
We describe the problem of spatial and temporal heterogeneity in these signals derived from these data sources, where spatial and/or temporal biases are present.
Parity Calibration
In a sequential regression setting, a decision-maker may be primarily concerned with whether the future observation will increase or decrease compared to the current one, rather than the actual value of the future observation.
Recalibrating probabilistic forecasts of epidemics
We apply this recalibration method to the 27 influenza forecasters in the FluSight Network and show that recalibration reliably improves forecast accuracy and calibration.
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