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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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| Gepubliceerd in: | Int J Health Geogr |
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| Hoofdauteurs: | , , , |
| Formaat: | Artigo |
| Taal: | Inglês |
| Gepubliceerd in: |
BioMed Central
2020
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| Onderwerpen: | |
| Online toegang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7055098/ https://ncbi.nlm.nih.gov/pubmed/32126997 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12942-020-00199-0 |
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