RESUMEN
OBJECTIVES: This study aimed to identify and quantify the role that social and economic determinants play in the probability of dying from COVID-19, in the case of Mexico. STUDY DESIGN: This was a cross-sectional study based on secondary data. METHODS: In this study, COVID-19 contagion and mortality data were used, as well as socio-economic variables, from public databases and open access, with which an econometric model was estimated. RESULTS: It shows that the number of deaths can rise when variables related to vulnerable groups increase, such as poverty, lack of services, gender, and age. In addition, having pre-existing medical conditions or lacking access to water can be a significant factor in the increase in deaths. CONCLUSIONS: Therefore, this study suggests more policies be developed for vulnerable groups to reduce gaps in inequality, particularly given the current situation in which greater inequality can exacerbate the impact of a disease or an unforeseen situation, as is the case of COVID-19.
