Vulnerability interactive geographic viewer against COVID-19 at the block level in Colombia: Analytical tool based on machine learning techniques.

To mitigate the effects of the coronavirus disease 2019 (COVID-19) pandemic, different countries have developed computational tools and dashboards that generate value for decision-making in public health. We aimed to build an interactive geographic viewer for vulnerability to COVID-19 at the block level in Colombia to identify the location of populations that, because of sociodemographic characteristics and health conditions, could have more complications from COVID-19 infections. The vulnerability levels of the different blocks of 1,102 municipal capitals were calculated.