The aim of this work is to analyze the impact of Covid-19 on indigenous populations in municipalities of Mexico. To analyze this relationship, Bayesian spatio-temporal models are used to capture the complex dynamics of epidemiological transmission in terms of spatial, temporal and joint spatio-temporal dependence. These models have the ability to include covariates, such as the percentage of indigenous population, which makes it possible to quantify the effect that the covariate has on the evolution of the epidemic. Likewise, the models allow us to identify spatio-temporal clusters with high and low incidence rates, showing health inequalities based on the proportion of the indigenous population residing in specific municipalities. Contrary to expectations, the results showed a protective effect on the incidence rate of COVID-19 for the indigenous population. Furthermore, a wide heteroge...

The aim of this work is to analyze the impact of Covid-19 on indigenous populations in municipalities of Mexico. To analyze this relationship, Bayesian spatio-temporal models are used to capture the complex dynamics of epidemiological transmission in terms of spatial, temporal and joint spatio-temporal dependence. These models have the ability to include covariates, such as the percentage of indigenous population, which makes it possible to quantify the effect that the covariate has on the evolution of the epidemic. Likewise, the models allow us to identify spatio-temporal clusters with high and low incidence rates, showing health inequalities based on the proportion of the indigenous population residing in specific municipalities. Contrary to expectations, the results showed a protective effect on the incidence rate of COVID-19 for the indigenous population. Furthermore, a wide heteroge...

The aim of this work is to analyze the impact of Covid-19 on indigenous populations in municipalities of Mexico. To analyze this relationship, Bayesian spatio-temporal models are used to capture the complex dynamics of epidemiological transmission in terms of spatial, temporal and joint spatio-temporal dependence. These models have the ability to include covariates, such as the percentage of indigenous population, which makes it possible to quantify the effect that the covariate has on the evolution of the epidemic. Likewise, the models allow us to identify spatio-temporal clusters with high and low incidence rates, showing health inequalities based on the proportion of the indigenous population residing in specific municipalities. Contrary to expectations, the results showed a protective effect on the incidence rate of COVID-19 for the indigenous population. Furthermore, a wide heteroge...