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...

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Detalles Bibliográficos
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:
Original Article
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

Internet

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

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