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.

翻译：我们从各种来源收集了个人化(不可识别)和可公开获取的巴西境内与涉嫌/确认的萨斯-科沃-2感染、疫苗接种、非制药政府干预、人员流动和人口不平等程度有关的数据,此外,还开发了一个数据结构,为不同目标实时收集、整理、整合和提取-转移载荷程序;这一数据集的颗粒性(州和市范围)使得该数据集能够应用于巴西的个别化和生态流行病学研究、统计、数学和计算模型、数据可视化以及COVID-19流行病信息的科学传播。