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Abstract
The outbreak of COVID-19 from late 2019 not only threatens the health and lives of humankind but impacts public policies, economic activities, and human behavior patterns significantly. To understand the impact and better prepare for future outbreaks, socioeconomic factors play significant roles in (1) determinant analysis with health care, environmental exposure and health behavior; (2) human mobility analyses driven by policies; (3) economic pressure and recovery analyses for decision making; and (4) short to long term social impact analysis for equity, justice and diversity. To support these analyses for rapid impact responses, state level socioeconomic factors for the United States of America (USA) are collected and integrated into topic-based indicators, including (1) the daily quantitative policy stringency index; (2) dynamic economic indices with multiple time frequency of GDP, international trade, personal income, employment, the housing market, and others; (3) the socioeconomic determinant baseline of the demographic, housing financial situation and medical resources. This paper introduces the measurements and metadata of relevant socioeconomic data collection, along with the sharing platform, data warehouse framework and quality control strategies. Different from existing COVID-19 related data products, this collection recognized the geospatial and dynamic factor as essential dimensions of epidemiologic research and scaled down the spatial resolution of socioeconomic data collection from country level to state level of the USA with a standard data format and high quality.
Highlights
The outbreak of COVID-19 from late 2019 threatens the health and lives of humankind but impacts public policies, economic activities, and human behavior patterns significantly
The labor requirements decreased across all economic sectors and unemployment numbers increased [2,3]
Measure, and reduce the negative influence on the society and economy caused by the pandemic, a comprehensive socioeconomic factor collection for the pandemic period is urgently needed for comparing, modeling, and predicting the socioeconomic impact of COVID-19
Summary
The once-in-a-100-year Coronavirus Disease 2019 (COVID-19) pandemic has resulted in over 44 million confirmed cases and 1.2 million deaths by the end of October 2020 [1]. The Census Bureau [19] provides thousands of fields for multiple geographic scales each year, but less than 20 factors are widely recognized and used in COVID-19-related analysis and studies [11,20] Socioeconomic factors such as the policy stringency index [21,22] are broadly accessed and utilized at country level, but not at the state-level in the USA. The data collection is validated and contains intensive quality control based on integrity, consistency and effectiveness requirements It offers a crucial data basis for the decision makers to assess loss due to the pandemic and make further mitigation and reopening plans. The paper is organized as follows: Section 2 introduces the raw data, selected attribute values, and metadata of the derived data product; Section 3 describes the methodology concerning how derived attributes are organized and produced, how data are processed and stored, and how data quality is controlled; and Section 4 illustrates the data publishing methods and provides access methods
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