Analysis of spatial interpolation of COVID-19 infection in the Lujan river basin

ABSTRACT

One of the factors that must be taken into account when analyzing the spread of a virus is the geographic or spatial factor, which conditions its spatial diffusion process based on the functional relations occurring in geographic space. This article develops the methodological proposal based on the spatial interpolation method called Kernel Density Estimation, which aims at cartographic modeling of continuous densities, considering the COVID-19 infection rate. The study area corresponds to the municipalities of the Lujan river basin (Argentina). The cartographic results show a marked spatial differentiation of the incidence of infection within the municipalities in the study area, defining sectors of greater dynamism in the spatio-temporal spread of the virus.