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Machine learning forecasts for seasonal epidemic peaks: Lessons learnt from an atypical respiratory syncytial virus season
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 pr...
Autores principales: | Morbey, Roger A., Todkill, Daniel, Watson, Conall, Elliot, Alex J. |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10516409/ https://www.ncbi.nlm.nih.gov/pubmed/37738241 http://dx.doi.org/10.1371/journal.pone.0291932 |
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