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Sequential Bayesian Inference for Detection and Response to Seasonal Epidemics
OBJECTIVE: Development of a sequential Bayesian methodology for inference and detection of seasonal infectious disease epidemics. INTRODUCTION: Detection and response to seasonal outbreaks of endemic diseases provides an excellent testbed for quantitative bio-surveillance. As a case study we focus o...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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University of Illinois at Chicago Library
2013
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3692917/ |