Long-Term Experience and Health Effects of COVID-19
Purpose
The purpose of this study is to gain on-going COVID-19 feedback/data to drive timely action locally and nationally in order to mitigate transmission. Data will be deidentified and consolidated to create a large national longitudinal database.
Conditions
- Covid19
- Corona Virus Infection
- Quality of Life
- Risk Reduction
Eligibility
- Eligible Ages
- Between 18 Years and 100 Years
- Eligible Genders
- All
- Accepts Healthy Volunteers
- Yes
Inclusion Criteria
- 18 years of age or older - Any gender specification - Has consented to proceed with survey - Is able to complete the survey via email on a regular basis
Exclusion Criteria
- none
Study Design
- Phase
- Study Type
- Observational
- Observational Model
- Ecologic or Community
- Time Perspective
- Prospective
Recruiting Locations
More Details
- NCT ID
- NCT04477902
- Status
- Completed
- Sponsor
- Altura
Detailed Description
Ths is a longitudinal, observational, descriptive study to gather data needed to support a better understanding of COVID-19 from the perspective of a diverse national population. This multi-phase study will use an action research approach to identify specific ways that physician groups, federally qualified health centers (FQHCs), public health departments, and other health and social services systems in the United States can address healthcare needs and mitigate the transmission of COVID-19. Email surveys will be used to assess the historical and current status of participants by medical condition, geography, and demographic characteristics, as well as their history of symptoms (e.g. recent cough, fever, loss of sense of taste or smell, etc.) and their current psychosocial needs. The study will provide the structure for an iterative exploration of trends over time (up to 24 months). The opt-in survey will be posted and available to individuals 18 and older who choose to participate. Survey frequency will be every two weeks. To analyze broader trends, all survey responses will be de-identified and aggregated. Overall general findings will not be linked to individuals or physician groups when reporting and publishing study results.