Preventive measures focused on the urban-rural interface protect rural food-producing communities from SARS-CoV-2.

Introduction: Rural food-producing communities are fundamental for the development of economic activities associated with sustainability and food security. However, despite the importance of rurality in Colombia, preventive strategies continue to be implemented homogeneously, without considering the dynamics of SARS-CoV-2 in rural food-producing communities.

Objective: To model real areas in Colombia involving rural and urban populations that have intrinsic SARS-CoV-2 transmission dynamics.

Bayesian spatial modeling of COVID-19 case-fatality rate inequalities.

The ongoing outbreak of COVID-19 challenges the health systems and epidemiological responses of all countries worldwide. Although preventive measures have been globally considered, the spatial heterogeneity of its effectiveness is evident, underscoring global health inequalities. Using Bayesian-based Markov chain Monte Carlo simulations, we identify the spatial association of socioeconomic factors and the risk for dying from COVID-19 in Colombia.