Cargando…
Space-time covid-19 Bayesian SIR modeling in South Carolina
The Covid-19 pandemic has spread across the world since the beginning of 2020. Many regions have experienced its effects. The state of South Carolina in the USA has seen cases since early March 2020 and a primary peak in early April 2020. A lockdown was imposed on April 6th but lifting of restrictio...
Autores principales: | Lawson, Andrew B., Kim, Joanne |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7968659/ https://www.ncbi.nlm.nih.gov/pubmed/33730035 http://dx.doi.org/10.1371/journal.pone.0242777 |
Ejemplares similares
-
Bayesian space-time SIR modeling of Covid-19 in two US states during the 2020–2021 pandemic
por: Lawson, Andrew B., et al.
Publicado: (2022) -
A Bayesian Quantile Modeling for Spatiotemporal Relative Risk: An Application to Adverse Risk Detection of Respiratory Diseases in South Carolina, USA
por: Rotejanaprasert, Chawarat, et al.
Publicado: (2018) -
2012 Multivariate air pollutant exposure prediction in South Carolina
por: Boaz, Ray, et al.
Publicado: (2018) -
An age and space structured SIR model describing the Covid-19 pandemic
por: Colombo, Rinaldo M., et al.
Publicado: (2020) -
A Bayesian space–time model for clustering areal units based on their disease trends
por: Napier, Gary, et al.
Publicado: (2019)