Addressing spatial misalignment in population health research: a case study of US congressional district political metrics and county health data

Areal spatial misalignment, which occurs when data on multiple variables are collected using mismatched boundary definitions, is a ubiquitous obstacle to data analysis in public health and social science research. As one example, the emerging sub-field studying the links between political context an...

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Detalles Bibliográficos
Autores principales: Nethery, Rachel C., Testa, Christian, Tabb, Loni P., Hanage, William P., Chen, Jarvis T., Krieger, Nancy
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cold Spring Harbor Laboratory 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9882429/
https://www.ncbi.nlm.nih.gov/pubmed/36711902
http://dx.doi.org/10.1101/2023.01.10.23284410

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9882429/
https://www.ncbi.nlm.nih.gov/pubmed/36711902
http://dx.doi.org/10.1101/2023.01.10.23284410

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