Assessing SARS-CoV-2 Testing Adherence in a University Town: Recurrent Event Modeling Analysis.

Autor:	García YE; Department of Public Health Sciences, University of California, Davis, CA, United States., Schmidt AJ; Department of Public Health Sciences, University of California, Davis, CA, United States., Solis L; Clinical and Translational Science Center, University of California, Davis, CA, United States., Daza-Torres ML; Department of Public Health Sciences, University of California, Davis, CA, United States., Montesinos-López JC; Department of Public Health Sciences, University of California, Davis, CA, United States., Pollock BH; Department of Public Health Sciences, University of California, Davis, CA, United States., Nuño M; Department of Public Health Sciences, University of California, Davis, CA, United States.
Jazyk:	angličtina
Zdroj:	JMIR public health and surveillance [JMIR Public Health Surveill] 2024 Apr 17; Vol. 10, pp. e48784. Date of Electronic Publication: 2024 Apr 17.
DOI:	10.2196/48784
Abstrakt:	Background: Healthy Davis Together was a program launched in September 2020 in the city of Davis, California, to mitigate the spread of COVID-19 and facilitate the return to normalcy. The program involved multiple interventions, including free saliva-based asymptomatic testing, targeted communication campaigns, education efforts, and distribution of personal protective equipment, community partnerships, and investments in the local economy. Objective: This study identified demographic characteristics of individuals that underwent testing and assessed adherence to testing over time in a community pandemic-response program launched in a college town in California, United States. Methods: This study outlines overall testing engagement, identifies demographic characteristics of participants, and evaluates testing participation changes over 4 periods of the COVID-19 pandemic, distinguished by the dominant variants Delta and Omicron. Additionally, a recurrent model is employed to explore testing patterns based on the participants' frequency, timing, and demographic characteristics. Results: A total of 770,165 tests were performed between November 18, 2020, and June 30, 2022, among 89,924 (41.1% of total population) residents of Yolo County, with significant participation from racially or ethnically diverse participants and across age groups. Most positive cases (6351 of total) and highest daily participation (895 per 100,000 population) were during the Omicron period. There were some gender and age-related differences in the pattern of recurrent COVID-19 testing. Men were slightly less likely (hazard ratio [HR] 0.969, 95% CI 0.943-0.996) to be retested and more likely (HR 1.104, 95% CI 1.075-1.134) to stop testing altogether than women. People aged between 20 and 34 years were less likely to be retested (HR 0.861, 95% CI 0.828-0.895) and more likely to stop testing altogether (HR 2.617, 95% CI 2.538-2.699). However, older age groups were less likely to stop testing, especially those aged between 65-74 years and 75-84 years, than those aged between 0 and 19 years. The likelihood of stopping testing was lower (HR 0.93, 95% CI 0.889-0.976) for the Asian group and higher for the Hispanic or Latino (HR 1.185, 95% CI 1.148-1.223) and Black or African American (HR 1.198, 95% CI 1.054-1.350) groups than the White group. Conclusions: The unique features of a pandemic response program that supported community-wide access to free asymptomatic testing provide a unique opportunity to evaluate adherence to testing recommendations and testing trends over time. Identification of individual and group-level factors associated with testing behaviors can provide insights for identifying potential areas of improvement in future testing initiatives. (©Yury E García, Alec J Schmidt, Leslie Solis, María L Daza-Torres, J Cricelio Montesinos-López, Brad H Pollock, Miriam Nuño. Originally published in JMIR Public Health and Surveillance (https://publichealth.jmir.org), 17.04.2024.)
Databáze:	MEDLINE
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