  We collected individualized (unidentifiable) and aggregated openly available
data from various sources related to suspected/confirmed SARS-CoV-2 infections,
vaccinations, non-pharmaceutical government interventions, human mobility, and
levels of population inequality in Brazil. In addition, a data structure
allowing real-time data collection, curation, integration, and
extract-transform-load processes for different objectives was developed. The
granularity of this dataset (state- and municipality-wide) enables its
application to individualized and ecological epidemiological studies,
statistical, mathematical, and computational modeling, data visualization as
well as the scientific dissemination of information on the COVID-19 pandemic in
Brazil.
