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A Bayesian approach to real-time spatiotemporal prediction systems for bronchiolitis

Matthew J Heaton1, Celeste Ingersoll1, Candace Berrett1

  • 1Department of Statistics, Brigham Young University, Provo, Utah, U.S.A.

Spatial and Spatio-Temporal Epidemiology
|August 6, 2021
PubMed
Summary

Predicting Respiratory Syncytial Virus (RSV) seasons is crucial for immunoprophylaxis. This study uses a novel change point model to forecast RSV bronchiolitis epidemic curves for better public health planning.

Keywords:
Change point modelMarkov chain Monte CarloSpatiotemporal predictions

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