COVID-19 Equity Data Connector
Creators: name: Zapf, Alex
name: Peters, David
name: Zweig, Sophia
Publisher: name: Open Science Framework
Year: 2022
Subjects: subject: Health Services Research
subject: Medical Sciences
subject: Mental and Social Health
subject: Women's Health
subject: Community Health and Preventive Medicine
subject: Medicine and Health Sciences
subject: Public Health Education and Promotion
subject: Place and Environment
subject: International Public Health
subject: Respiratory Tract Diseases
subject: Medicine and Health
subject: Public Health
subject: Environmental Public Health
subject: Economics
subject: Gender and Sexuality
subject: Health Services Administration
subject: Maternal and Child Health
subject: Politics and Social Change
subject: Community-based Research
subject: Health and Medical Administration
subject: Virus Diseases
subject: Sociology
subject: FOS: Sociology
subject: Race and Ethnicity
subject: Diseases
subject: Occupational Health and Industrial Hygiene
subject: Demography, Population, and Ecology
subject: Other Public Health
subject: Epidemiology
subject: Disease Modeling
subject: Inequality and Stratification
subject: Social and Behavioral Sciences
subject: Public Affairs, Public Policy and Public Administration
subject: COVID-19
subject: Data
subject: Disparities
subject: Global data
subject: Global Health
subject: Health equity
subject: Pandemic
subject: Preparedness &amp; Response

description: The COVID-19 Equity Data Connector (CEDC) provides a collection of data resources to inform analysis and modeling of health and social outcomes related to COVID-19. The CEDC lists two types of measures: equity stratifiers and outcomes and/or vulnerabilities related to health equity. The listed resources for equity stratifiers are based on the PROGRESS Plus framework and primarily include large, national datasets that may be used for linkage to COVID-19 data (both COVID-19 health outcomes and policy interventions in response to the pandemic). Key databases, such as the US Census or the Demographic and Health Surveys (DHS), are listed multiple times as they include data on several equity stratifiers like age, gender, and race and ethnicity. The resources for outcomes and/or vulnerabilities are more focused on datasets that provide disaggregated data to assess the impacts of COVID-19 on (pre-existing) inequities, both with regards to health as well as social and economic impacts. The categorization of these measures is not mutually exclusive as databases may include variables that represent both equity stratifiers as well as outcome and/or vulnerabilities. For ease of use, stratifiers and outcomes/vulnerabilities are organized by geographic location – specified as databases related to the US or the international context. For each measure, we provide the geographic level of the sampling unit (such as country, state, county, or city), the data source and type, the web link, and a curated description of the source. This will allow users to easily filter the type of stratifier and/or outcome they seek for their research. For a selection of resources, including the DHS, Multidimensional Poverty Index (MPI), and Living Standards and Measurement Studies (LSMS), we provide additional documents with more detailed descriptions of the database and tables of variables that can function as equity stratifiers and their response categories, including response codes.