Cargando…
Influence of geospatial resolution on sociodemographic predictors of COVID-19 in Massachusetts
PURPOSE: When studying health risks across a large geographic region such as a state or province, researchers often assume that finer-resolution data on health outcomes and risk factors will improve inferences by avoiding ecological bias and other issues associated with geographic aggregation. Howev...
Autores principales: | Patil, Prasad, Peng, Xiaojing, Haley, Beth M., Spangler, Keith R., Tieskens, Koen F., Lane, Kevin J., Carnes, Fei, Fabian, M. Patricia, Klevens, R. Monina, Troppy, T. Scott, Leibler, Jessica H., Levy, Jonathan I. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Authors. Published by Elsevier Inc.
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9942453/ https://www.ncbi.nlm.nih.gov/pubmed/36822278 http://dx.doi.org/10.1016/j.annepidem.2023.02.007 |
Ejemplares similares
-
Community predictors of COVID‐19 cases and deaths in Massachusetts: Evaluating changes over time using geospatially refined data
por: Spangler, Keith R., et al.
Publicado: (2021) -
Missing Race and Ethnicity Data among COVID-19 Cases in Massachusetts
por: Spangler, Keith R., et al.
Publicado: (2022) -
Time-varying associations between COVID-19 case incidence and community-level sociodemographic, occupational, environmental, and mobility risk factors in Massachusetts
por: Tieskens, Koen, et al.
Publicado: (2021) -
Time-varying associations between COVID-19 case incidence and community-level sociodemographic, occupational, environmental, and mobility risk factors in Massachusetts
por: Tieskens, Koen F., et al.
Publicado: (2021) -
283. Population-Based Co-infection of Carbapenem-Resistant Organisms and SARS-CoV-2 in Massachusetts
por: Geoghegan, Ashley, et al.
Publicado: (2021)