COVID-19 social vulnerability as a lethality conditioning factor

Brazil presented different waves of contamination, registering cases and numbers deaths from COVID-19 depending on the region under study due to its continental size territorial complexity, with 5,570 municipalities, 26 states, one federal district. The focus was verify whether socioeconomic conditions have an influence pandemic and, if confirmed, describe mechanism degree influence. used a multivariate data analysis approach combination exploratory factor hierarchical clustering techniques. resulted in extraction three factors characteristic root greater than one, which account for 94.23% total variation data, these being: basic assistance coverage; family programs; education; health care. In cluster analysis, four differentiated groups were obtained listed. Among main results, we highlight fact that affected not only epidemiological spheres but also evidenced existing social vulnerability, as well generated impacts sectors.