This dataset comprises new and accumulated cases and death episodes for each Brazilian municipality, by epidemiological week.

Criteria for confirmed cases: Final classification (variable CLASSI_FIN) = 5 Antigenic test result (variable AN_SARS2) = 1 RT-PCR test result (variable AN_SARS2) = 1 For death episodes: confirmed cases that progressed to death (variable EVOLUCAO = 2) death from other causes (variable EVOLUCAO = 3) Reference date for cases: symptom onset date (variable DT_SIN_PRI) Reference date for death episodes: case evolution date (variable DT_EVOLUCA) for missing dates, the closest date was used: case closing date, ICU discharge date, ICU entry date, testing date, notification date Age groups follow a five-years interval Phase and peak variables were created based on epidemiological weeks.

This dataset was used as part project - Evaluating Effects of Social Inequalities on the COVID-19 Pandemic in Brazil. Maria Yury Ichihara and colleagues at the Centre for Data and Knowledge Integration for Health (Cidacs) at Fiocruz in Brazil created a social disparities index to measure inequalities relevant to the COVID-19 pandemic, such as unequal access to healthcare, to identify regions that are more vulnerable to infection and to better focus prevention efforts.

In Brazil, markers of inequality are associated with COVID-19 morbidity and mortality. They developed the index with available COVID-19 surveillance data, hosted on the Cidacs platform, and built a public data visualisation dashboard to share the index and patterns of COVID-19 incidence and mortality with the broader community. This enabled health managers and policymakers to monitor the pandemic situation in the most vulnerable populations and target social and health interventions.

Permissions to use this dataset must be obtained from the Ministry of Health Brazil.