Geoprocessamento da ocorrência de casos e óbitos por covid-19 nos servidores do sistema penitenciário do Brasil

Abstract

The Sars-Cov-2 virus gained notoriety at the end of 2019 when the first cases were reported in China. After this period, the infection spread rapidly, and the COVID-19 pandemic was declared in 2020. The servers of the penal system had to act in the pandemic in a place conducive to the spread of the infection with a possible higher risk of the category to illness and deaths by COVID-19. This study aimed to analyze the geoepidemiological and temporal context of infection by Sars-Cov-2 in professionals of the Brazilian prison system. This is an epidemiological study of the ecological type with data from the information system of the National Penitentiary Department from June 15, 2020 to January 20, 2022 on the number of cases and deaths of servers who work in the prison system in all regions of Brazil during COVID-19. Data were organized considering the dates related to the number of cases and deaths of servers in all regions of Brazil and the time frames of the first wave of COVID-19, second wave and beginning of immunization. Data were tabulated by Microsoft excel and incorporated into the jupyter notebook application for later making maps and illustrative videos. The total number of cases during the analyzed period was 896.436 cases and 10.615 deaths. In the first wave, the Southeast region was evidenced in this phase, with São Paulo totaling 22.054 cases and the North region with Pará accounting for 11.989 cases. Regarding the number of deaths, the state of São Paulo was the most affected, with 505 deaths. In the second wave, São Paulo (15.836) and Minas Gerais (7.292) had the highest number of cases and São Paulo (250) the highest number of deaths. At the beginning of immunization, São Paulo stands out with 99.942 cases and 2.445 deaths reported in this period. It is concluded that most cases and deaths related to COVID-19 affected the Southeast, North and Northeast regions and São Paulo had the highest number of cases and deaths during the entire period analyzed. In addition, it is also observed that with geoprocessing techniques, it was possible to visualize the increasing progression of the number of cases and deaths throughout the Brazilian territory during the period analyzed.