Spatiotemporal analysis of the first million cases of SARS-CoV-2 in Colombia. The importance of the connectivity of regions in the propagation
DOI:
https://doi.org/10.33610/28059611.141Keywords:
coronavirus infections, COVID-19, spatial analysis, geography, medical, ColombiaAbstract
Introduction: The SARS-CoV-2 pandemic put health systems to the test and promoted the use of technologies and spatial models to predict epidemiological response. This study analyzes how the first one million cases of SARS-CoV-2 spread in Colombia, focusing on the spatiotemporal patterns of this spread.
Methodology: A cross-sectional study was conducted, in which first and second order properties such as spatial intensity and covariance structure were considered for the first million cases in the country, during the period from March 03 to October 24, 2020. Data from the National Public Health Surveillance System (Sivigila), the DANE (National Administrative Department of Statistics) national population census and the Ministry of Transportation's National Integrated Road Information System were used. Cases were geocoded according to the address of residence and analyzed using tools such as ArcGIS Pro and gvSIG.
Results: The geographical distribution of the cases was not random, instead, it was mainly concentrated in metropolitan areas and districts with high population density and an interconnected national and departmental road network. Municipalities connected by national roads showed a higher incidence and mortality from SARS-CoV-2 compared to those connected by departmental roads or without this type of infrastructure. In addition, there was a significant association between population density and the incidence of cases and deaths.
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