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Using spatial and temporal modeling to visualize the effects of U.S. state issued stay at home orders on COVID-19
Coronavirus disease 2019 dominated and augmented many aspects of life beginning in early 2020. Related research and data generation developed alongside its spread. We developed a Bayesian spatio-temporal Poisson disease mapping model for estimating real-time characteristics of the coronavirus diseas...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Nature Publishing Group UK
2021
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8260658/ https://www.ncbi.nlm.nih.gov/pubmed/34230582 http://dx.doi.org/10.1038/s41598-021-93433-z |