论文标题
巴西Covid-19数据流
Brazilian COVID-19 data streaming
论文作者
论文摘要
我们收集了与可疑/确认的SARS-COV-2感染，疫苗接种，非药物政府干预，人类流动性以及巴西的人口不平等水平有关的各种来源的个性化（无法识别）和共同可用的数据。此外，开发了用于实时数据收集，策展，集成和提取转换过程的数据结构。该数据集（全州和市政当局）的粒度使其适用于个性化和生态流行病学研究，统计，数学和计算建模，数据可视化以及巴西共同-19 Pandemic的信息的科学传播。
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.
