Novel Coronavirus Illness Patient Report Dataset
Alternate Titles(s): NCIPR
- Description
The Novel Coronavirus Illness Patient Report (NCIPR) dataset includes survey responses from 2,212 confirmed COVID-19 patients aged 18 to 98 who were treated at NYU Langone Health facilities between February 2020 and March 2021 and consented to the survey. Survey invitations were distributed two waves: once in February 2021 and once in March 2021. Between waves, 9 new items were added to the survey to gather information about lasting COVID-19 symptoms, physical characteristics, history of tonsillectomy, and self-assessment of social status via the MacArthur Scale of Subjective Social Status. 1,584 survey responses passed quality validation (e.g., checks for completeness and plausibility). The ratio of female to male responses in this subset is approximately 2:1.
The public, de-identified dataset does not include responses to questions about race, ethnicity, income, level of education, birthdates, ages of children, number of bedrooms in home, breastfeeding questions, use of public assistance, number of adults and children in home, and affiliation with NYU hospital system. All dates were converted to month-year format and the ages of individuals aged 90 or older are reported as an age bracket (89+).
The NCIPR survey assesses the following domains:
- COVID-19 illness (e.g., symptoms and severity)
- COVID-19 treatments
- COVID-19 testing
- COVID-19 impacts (e.g., loss of employment, stress, perceived life disruption)
- COVID-19 perceptions
- COVID-19 lasting effects
- Patient's physical characteristics
- Health characteristics (e.g., preexisting health conditions, mental health care)
- Vaccine information and attitudes
- Demographic and financial context (e.g., gender, employment, health insurance)
- Home environment
- Patient behavior (e.g., risk taking and coping strategies)
- Perceived discrimination
- Timeframe
- 2021
- Geographic Coverage
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New JerseyNew York (State)New York (State) - New York City
Access
- Restrictions
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Free to All
- Instructions
- The dataset and questionnaires can be downloaded through the Open Science Framework (OSF) data repository.
- Grant Support
- Other Resources
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Metadata
Human and machine-readable metadata files