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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...
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| Publicado no: | Sci Rep |
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| Main Authors: | , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Nature Publishing Group UK
2021
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8260658/ https://ncbi.nlm.nih.gov/pubmed/34230582 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41598-021-93433-z |
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