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Assessing SARS-CoV-2 Testing Adherence in a University Town: Recurrent Event Modeling Analysis
Yury E García1, Alec J Schmidt1, Leslie Solis2
1Department of Public Health Sciences, University of California, Davis, CA, United States.
Community COVID-19 testing in Davis, California, showed high participation across diverse groups. Demographic factors influenced testing adherence, with younger adults and certain ethnic minorities less likely to consistently test.
Area of Science:
- Public Health
- Epidemiology
- Community Health Initiatives
Background:
- The Healthy Davis Together program aimed to control COVID-19 spread and restore normalcy through interventions like free asymptomatic testing.
- This initiative provided a platform for community-wide pandemic response in Davis, California.
Purpose of the Study:
- To identify demographic characteristics of individuals participating in a community COVID-19 testing program.
- To assess adherence to COVID-19 testing over time within a diverse population.
- To analyze testing patterns in relation to dominant COVID-19 variants (Delta and Omicron).
Main Methods:
- Analysis of testing data from November 2020 to June 2022, covering 770,165 tests among 89,924 residents.
- Utilized a recurrent model to explore testing frequency, timing, and demographic influences.
- Compared testing behaviors across different demographic groups, including age, gender, and ethnicity.
Main Results:
- High overall participation (41.1% of Yolo County population) with significant engagement from diverse racial/ethnic and age groups.
- Peak testing and positive cases occurred during the Omicron variant period.
- Identified disparities in testing adherence: younger adults (20-34) and Hispanic/Latino and Black/African American individuals showed lower adherence compared to older adults and White individuals, respectively. Men were also less likely to retest than women.
Conclusions:
- Community-wide free asymptomatic testing programs are valuable for understanding testing adherence and trends.
- Demographic factors significantly influence participation in public health testing initiatives.
- Findings offer insights for optimizing future pandemic response and testing strategies.
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