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Predicting COVID-19 community infection relative risk with a Dynamic Bayesian Network

As COVID-19 continues to impact the United States and the world at large it is becoming increasingly necessary to develop methods which predict local scale spread of the disease. This is especially important as newer variants of the virus are likely to emerge and threaten community spread. We develo...

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Detalles Bibliográficos
Autores principales: Johnson, Daniel P., Lulla, Vijay
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9650227/
https://www.ncbi.nlm.nih.gov/pubmed/36388264
http://dx.doi.org/10.3389/fpubh.2022.876691