Spatio-temporal prediction model of out-of-hospital cardiac arrest: Designation of medical priorities and estimation of human resources requirement

AIMS: To determine the out-of-hospital cardiac arrest (OHCA) rates and occurrences at municipality level through a novel statistical model accounting for temporal and spatial heterogeneity, space-time interactions and demographic features. We also aimed to predict OHCAs rates and number at municipal...

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Detalles Bibliográficos
Autores principales: Auricchio, Angelo, Peluso, Stefano, Caputo, Maria Luce, Reinhold, Jost, Benvenuti, Claudio, Burkart, Roman, Cianella, Roberto, Klersy, Catherine, Baldi, Enrico, Mira, Antonietta
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2020
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7458314/
https://www.ncbi.nlm.nih.gov/pubmed/32866165
http://dx.doi.org/10.1371/journal.pone.0238067

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7458314/
https://www.ncbi.nlm.nih.gov/pubmed/32866165
http://dx.doi.org/10.1371/journal.pone.0238067

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