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Machine learning forecasts for seasonal epidemic peaks: lessons learnt from an atypical respiratory syncytial virus season

2023-07-01

Abstract excerpt

<h4>ABSTRACT</h4> Seasonal peaks in infectious disease incidence put pressures on health services. Therefore, early warning of the timing and magnitude of peak activity during seasonal epidemics can provide information for public health practitioners to take appropriate action. Whilst many infectious diseases have predictable seasonality, newly emerging diseases and the impact of public health interventions can re...

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Literature Corpus work
f70b743a-442c-5087-a3f3-202a65a08e47
DOI
10.1101/2023.06.29.23291793
Open publication

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Machine learning forecasts for seasonal epidemic peaks: lessons learnt from an atypical respiratory syncytial virus seasonDOI 10.1101/2023.06.29.23291793
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