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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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Detalles Bibliográficos
Autores principales:	Carroll, Rachel, Prentice, Christopher R.
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Nature Publishing Group UK 2021
Materias:	Article
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

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