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Development and validation of influenza forecasting for 64 temperate and tropical countries

Kramer, Sarah Corinne; Shaman, Jeffrey L.

Accurate forecasts of influenza incidence can be used to inform medical and public health decision-making and response efforts. However, forecasting systems are uncommon in most countries, with a few notable exceptions. Here we use publicly available data from the World Health Organization to generate retrospective forecasts of influenza peak timing and peak intensity for 64 countries, including 18 tropical and subtropical countries. We find that accurate and well-calibrated forecasts can be generated for countries in temperate regions, with peak timing and intensity accuracy exceeding 50% at four and two weeks prior to the predicted epidemic peak, respectively. Forecasts are significantly less accurate in the tropics and subtropics for both peak timing and intensity. This work indicates that, in temperate regions around the world, forecasts can be generated with sufficient lead time to prepare for upcoming outbreak peak incidence.

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Title
PLoS Computational Biology
DOI
https://doi.org/10.1371/journal.pcbi.1006742

More About This Work

Academic Units
Environmental Health Sciences
Published Here
March 19, 2019
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