Asociación espacial e impacto de variables socioambientales en los casos de COVID-19 en Bogotá (Colombia.

The main objective of the present study was to examine the spatial association between COVID-19 cases and condensable particulate matter (PM10 and PM2.5) and to assess the impact of population density, the green index, and the number of health care institutions in Bogotá (Colombia). The global (MI) and local (LISA) Moran indices were applied to conduct spatial association analyses. The SHAP-value method was applied to assess impact. The results revealed a moderate positive spatial autocorrelation (MI = 0.303) for PM10 and a weak correlation (MI = 0.159) for PM2.5. The LISA index showed that high-high associations between PMs and COVID-19 cases occurred in the southwest of Bogota while low-low associations occurred in the northeast. The variables that had the most impact were, in order, population density, number of health care institutions, and PM10. It is concluded that there is evidence of a spatial autocorrelation between both PM10 and PM2.5 and COVID-19 cases, especially for PM10. [ABSTRACT FROM AUTHOR]