Spatial Survival Model for COVID-19 in México
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 f...
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| Format: | Article |
| Language: | English |
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MDPI AG
2024-01-01
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| Series: | Healthcare |
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| Online Access: | https://www.mdpi.com/2227-9032/12/3/306 |
| _version_ | 1797318758971211776 |
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| author | Eduardo Pérez-Castro María Guzmán-Martínez Flaviano Godínez-Jaimes Ramón Reyes-Carreto Cruz Vargas-de-León Alejandro Iván Aguirre-Salado |
| author_facet | Eduardo Pérez-Castro María Guzmán-Martínez Flaviano Godínez-Jaimes Ramón Reyes-Carreto Cruz Vargas-de-León Alejandro Iván Aguirre-Salado |
| author_sort | Eduardo Pérez-Castro |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-08T03:57:01Z |
| format | Article |
| id | doaj.art-c21eefdf19de4b068027ebaba93debc7 |
| institution | Directory Open Access Journal |
| issn | 2227-9032 |
| language | English |
| last_indexed | 2024-03-08T03:57:01Z |
| publishDate | 2024-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Healthcare |
| spelling | doaj.art-c21eefdf19de4b068027ebaba93debc72024-02-09T15:12:31ZengMDPI AGHealthcare2227-90322024-01-0112330610.3390/healthcare12030306Spatial Survival Model for COVID-19 in MéxicoEduardo Pérez-Castro0María Guzmán-Martínez1Flaviano Godínez-Jaimes2Ramón Reyes-Carreto3Cruz Vargas-de-León4Alejandro Iván Aguirre-Salado5Unidad de Investigación de Salud en el Trabajo, Centro Médico Nacional Siglo XXI, Ciudad de México 06720, MexicoFacultad de Matemáticas, Universidad Autónoma de Guerrero, Chilpancingo 39087, MexicoFacultad de Matemáticas, Universidad Autónoma de Guerrero, Chilpancingo 39087, MexicoFacultad de Matemáticas, Universidad Autónoma de Guerrero, Chilpancingo 39087, MexicoSección de Estudios de Posgrado, Escuela Superior de Medicina, Instituto Politécnico Nacional, Ciudad de México 11340, MexicoInstituto de Física y Matemáticas, Universidad Tecnológica de la Mixteca, Huajuapan de León 69000, MexicoA 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.https://www.mdpi.com/2227-9032/12/3/306bayesian methodologyproportional hazard frailty modelspatial correlationsurvival time |
| spellingShingle | Eduardo Pérez-Castro María Guzmán-Martínez Flaviano Godínez-Jaimes Ramón Reyes-Carreto Cruz Vargas-de-León Alejandro Iván Aguirre-Salado Spatial Survival Model for COVID-19 in México Healthcare bayesian methodology proportional hazard frailty model spatial correlation survival time |
| title | Spatial Survival Model for COVID-19 in México |
| title_full | Spatial Survival Model for COVID-19 in México |
| title_fullStr | Spatial Survival Model for COVID-19 in México |
| title_full_unstemmed | Spatial Survival Model for COVID-19 in México |
| title_short | Spatial Survival Model for COVID-19 in México |
| title_sort | spatial survival model for covid 19 in mexico |
| topic | bayesian methodology proportional hazard frailty model spatial correlation survival time |
| url | https://www.mdpi.com/2227-9032/12/3/306 |
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