Stop COVID NYC Cohort
At the height of the COVID-19 outbreak in NYC, on April 1 2020, a team of researchers from Psychiatric Genomics and MSCIC launched the STOP COVID NYC survey: a phone-based platform deployed across the city to survey symptoms and factors affecting exposure (eg. social interactions, household occupancy, job type, pre-existing conditions). The survey collected data on 45,865 New York residents across a variety of measures at baseline, with daily follow-up of multiple symptoms and behaviors.
While a small fraction of the cohort had been tested for SARS-CoV-2, the team inferred infection status in the untested individuals using a Bayesian prediction model that accounted for collider bias. Marked differences were shown in infection rates according to job type, neighborhood, household occupancy, transport use etc; a downward trend in infection during April, but a slower reduction in specific population strata; a spatial distribution of the outbreak that closely matched that of antibody data; behavior by NYC residents during lockdown that limited the spread of the virus, as well as work commitments that likely increased the spread.
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