Predicting the hotspots of age-adjusted mortality rates of lower respiratory infection across the continental United States: Integration of GIS, spatial statistics and machine learning algorithms

OBJECTIVE: Although lower respiratory infections (LRI) are among the leading causes of mortality in the US, their association with underlying factors and geographic variation have not been adequately examined. METHODS: In this study, explanatory variables (n = 46) including climatic, topographic, so...

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Detalles Bibliográficos
Autores principales: Mollalo, Abolfazl, Vahedi, Behrooz, Bhattarai, Shreejana, Hopkins, Laura C., Banik, Swagata, Vahedi, Behzad
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier B.V. 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7442929/
https://www.ncbi.nlm.nih.gov/pubmed/32871492
http://dx.doi.org/10.1016/j.ijmedinf.2020.104248

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7442929/
https://www.ncbi.nlm.nih.gov/pubmed/32871492
http://dx.doi.org/10.1016/j.ijmedinf.2020.104248

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