Geographic Information Systems and spatial distribution of COVID 19 cases in Mexico
- Fernando Flores Vilchez Universidad Autónoma de Nayarit (México).
- Armando Ávalos Jiménez Universidad Autónoma de Nayarit (México).
- Oyolsi Nájera González Universidad Autónoma de Nayarit (México).
- Mario Guadalupe González Pérez Centro Universitario de Tonalá, Universidad de Guadalajara (México).
Abstract
This study analyzes the evolution of the spatial distribution in areas with a high density of infections. The information is organized and linked to a geographic database considering the political and administrative divisions by state and municipalities. Afterward, delivery metrics and spatial statistics were applied to detect distribution patterns. Since November 2020, a trend has been identified in the concentration of cases towards the central zone of Mexico. The study recognizes the decision-making of the government through the application and strict monitoring of restrictive measures like social distancing and the use of masks; a priority in regions with the most significant risk of spread. The enforcement of Geographic Information Systems for the monitoring, follow-up, prevention, and control of the pandemic makes it possible to identify and report the areas with the severest risk of contagion of the virus.
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