The CHASING COVID Cohort Study: A national, community-based prospective cohort study of SARS-CoV-2 pandemic outcomes in the USA
Creators
- 1. City University of New York (CUNY) Institute for Implementation Science in Population Health, New York, New York, USA
- 2. City University of New York (CUNY) Institute for Implementation Science in Population Health, New York, New York, USA; Environmental Health Sciences, Graduate School of Public Health and Health Policy, City University of New York, New York, New York, USA
- 3. City University of New York (CUNY) Institute for Implementation Science in Population Health, New York, New York, USA; Maternal and Child Health, University of North Carolina at Chapel Hill Gillings School of Global Public Health, Chapel Hill, North Carolina, USA
- 4. City University of New York (CUNY) Institute for Implementation Science in Population Health, New York, New York, USA; Community Health and Social Sciences, Graduate School of Public Health and Health Policy, City University of New York, New York, New York, USA
- 5. City University of New York (CUNY) Institute for Implementation Science in Population Health, New York, New York, USA; Epidemiology and Biostatistics, Graduate School of Public Health and Health Policy, City University of New York, New York, New York, USA
Description
The Communities, Households and SARS-CoV-2 Epidemiology (CHASING) COVID Cohort Study is a community-based prospective cohort study launched during the upswing of the USA COVID-19 epidemic. The objectives of the cohort study are to: (1) estimate and evaluate determinants of the incidence of SARS-CoV-2 infection, disease and deaths; (2) assess the impact of the pandemic on psychosocial and economic outcomes and (3) assess the uptake of pandemic mitigation strategies. 6740 people are enrolled in the cohort, including participants from all 50 US states, the District of Columbia, Puerto Rico and Guam. Participants are contacted regularly to complete study assessments, including interviews and dried blood spot specimen collection for serologic testing.
Datasets are provided in CSV and sas7bdat (with formatting script) file formats.
Files
c3_csv_deidentified_2022_02_17.csv
Additional details
Related works
- Is described by
- Journal article: 10.1136/bmjopen-2021-048778 (DOI)
- Software documentation: https://data.cunyisph.org/ (URL)