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Modeling regional disease spread over time using a dynamic spatio-temporal model – With an application to porcine epidemic diarrhea virus data in Iowa, US
Regional surveillance is important for detecting the incursion of new pathogens and informing disease monitoring and control programs. Modeling disease distribution over time can provide insight into the development of more efficient regional surveillance approaches. Herein we propose a Bayesian spa...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Elsevier B.V.
2020
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7305876/ https://www.ncbi.nlm.nih.gov/pubmed/32623290 http://dx.doi.org/10.1016/j.prevetmed.2020.105053 |