Bayesian spatiotemporal modeling with sliding windows to correct reporting delays for real-time dengue surveillance in Thailand

BACKGROUND: The ability to produce timely and accurate estimation of dengue cases can significantly impact disease control programs. A key challenge for dengue control in Thailand is the systematic delay in reporting at different levels in the surveillance system. Efficient and reliable surveillance...

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Detalles Bibliográficos
Autores principales: Rotejanaprasert, Chawarat, Ekapirat, Nattwut, Areechokchai, Darin, Maude, Richard J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7055098/
https://www.ncbi.nlm.nih.gov/pubmed/32126997
http://dx.doi.org/10.1186/s12942-020-00199-0

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7055098/
https://www.ncbi.nlm.nih.gov/pubmed/32126997
http://dx.doi.org/10.1186/s12942-020-00199-0

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