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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...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Frontiers Media S.A.
2022
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| 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 |