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Socioexposomics of COVID-19 across New Jersey: a comparison of geostatistical and machine learning approaches

BACKGROUND: Disparities in adverse COVID-19 health outcomes have been associated with multiple social and environmental stressors. However, research is needed to evaluate the consistency and efficiency of methods for studying these associations at local scales. OBJECTIVE: To assess socioexposomic as...

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Detalles Bibliográficos
Autores principales: Ren, Xiang, Mi, Zhongyuan, Georgopoulos, Panos G.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group US 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9889956/
https://www.ncbi.nlm.nih.gov/pubmed/36725924
http://dx.doi.org/10.1038/s41370-023-00518-0