Forecasting infectious disease emergence subject to seasonal forcing

Abstract

Despite high vaccination coverage, many childhood infections pose a growing threat to human populations. Accurate disease forecasting would be of tremendous value to public health. Forecasting disease emergence using early warning signals (EWS) is possible in non-seasonal models of infectious diseases. Here, we assessed whether EWS also anticipate disease… (More)
DOI: 10.1186/s12976-017-0063-8

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Cite this paper

@inproceedings{Miller2017ForecastingID, title={Forecasting infectious disease emergence subject to seasonal forcing}, author={Paige B Miller and Eamon B. O'Dea and Pejman Rohani and John M. Drake}, booktitle={Theoretical Biology and Medical Modelling}, year={2017} }