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Spatial Survival Model for COVID-19 in México.
Pérez-Castro, Eduardo; Guzmán-Martínez, María; Godínez-Jaimes, Flaviano; Reyes-Carreto, Ramón; Vargas-de-León, Cruz; Aguirre-Salado, Alejandro Iván.
Afiliação
  • Pérez-Castro E; Unidad de Investigación de Salud en el Trabajo, Centro Médico Nacional Siglo XXI, Ciudad de México 06720, Mexico.
  • Guzmán-Martínez M; Facultad de Matemáticas, Universidad Autónoma de Guerrero, Chilpancingo 39087, Mexico.
  • Godínez-Jaimes F; Facultad de Matemáticas, Universidad Autónoma de Guerrero, Chilpancingo 39087, Mexico.
  • Reyes-Carreto R; Facultad de Matemáticas, Universidad Autónoma de Guerrero, Chilpancingo 39087, Mexico.
  • Vargas-de-León C; Sección de Estudios de Posgrado, Escuela Superior de Medicina, Instituto Politécnico Nacional, Ciudad de México 11340, Mexico.
  • Aguirre-Salado AI; División de Investigación, Hospital Juárez de México, Ciudad de México 07760, Mexico.
Healthcare (Basel) ; 12(3)2024 Jan 24.
Article em En | MEDLINE | ID: mdl-38338191
ABSTRACT
A spatial survival analysis was performed to identify some of the factors that influence the survival of patients with COVID-19 in the states of Guerrero, México, and Chihuahua. The data that we analyzed correspond to the period from 28 February 2020 to 24 November 2021. A Cox proportional hazards frailty model and a Cox proportional hazards model were fitted. For both models, the estimation of the parameters was carried out using the Bayesian approach. According to the DIC, WAIC, and LPML criteria, the spatial model was better. The analysis showed that the spatial effect influences the survival times of patients with COVID-19. The spatial survival analysis also revealed that age, gender, and the presence of comorbidities, which vary between states, and the development of pneumonia increase the risk of death from COVID-19.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies País/Região como assunto: Mexico Idioma: En Revista: Healthcare (Basel) Ano de publicação: 2024 Tipo de documento: Article País de afiliação: México País de publicação: Suíça
Texto completo
Adicionar na Minha BVS
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies País/Região como assunto: Mexico Idioma: En Revista: Healthcare (Basel) Ano de publicação: 2024 Tipo de documento: Article País de afiliação: México País de publicação: Suíça