Distribución espacial de la COVID-19 con principales comorbilidades en la Megalópolis de la Zona Metropolitana del Valle de México.
The objective of this study is to analyze the distribution and spatial autocorrelation of deaths from COVID-19 and the case-fatality rate associated with three main comorbidities (diabetes, hypertension, and obesity) in the Megalopolis of the Metropolitan Area of the Valley of Mexico (MZMVM) in 2021...
Guardado en:
| Autores principales: | , , |
|---|---|
| Formato: | Online |
| Lenguaje: | spa |
| Publicado: |
Instituto de Cartografía, Investigación y Formación para el Ordenamiento Territorial. CIFOT.
2022
|
| Materias: | |
| Acceso en línea: | https://revistas.uncu.edu.ar/ojs3/index.php/proyeccion/article/view/5927 |
| Sumario: | The objective of this study is to analyze the distribution and spatial autocorrelation of deaths from COVID-19 and the case-fatality rate associated with three main comorbidities (diabetes, hypertension, and obesity) in the Megalopolis of the Metropolitan Area of the Valley of Mexico (MZMVM) in 2021. The method consisted on calculating four indicators (associated with COVID-19 and each comorbidity): Prevalence, Mortality, Specific Mortality, and Case-Fatality rate. The LISA index of case fatality rate was calculated, and clusters of high, low, and atypical values were identified.
Results show that COVID-19 mortality had a different spatial distribution pattern than case fatality rate: the high mortality and prevalence rates were found in the most densely populated areas, whereas the high case fatality rates were found in the metropolitan areas around the Valley of Mexico. According to the LISA indicator for case fatality rates, the municipalities of Toluca and Capulhuac formed coinciding clusters of the "high-high" type with respect to diabetes and hypertension, while for hypertension and obesity the cluster was formed around San Agustín Tlaxiaca |
|---|
