Evidence map›Paper›PMID 38631033›Full record

ArticleJMIR public health and surveillance2024

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

Yury E García, Alec J Schmidt, Leslie Solis, María L Daza-Torres, J Cricelio Montesinos-López, Brad H Pollock, Miriam Nuño

Abstract read
In one paragraph

Article in JMIR public health and surveillance, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Yury E García *Department of Public Health Sciences, University of California, Davis, CA, United States.ORCID 0000-0003-1990-9110
Alec J Schmidt *Department of Public Health Sciences, University of California, Davis, CA, United States.ORCID 0000-0002-1291-2328
Leslie Solis *Clinical and Translational Science Center, University of California, Davis, CA, United States.ORCID 0009-0000-7757-2187
María L Daza-Torres *Department of Public Health Sciences, University of California, Davis, CA, United States.ORCID 0000-0002-5234-1558
J Cricelio Montesinos-López *Department of Public Health Sciences, University of California, Davis, CA, United States.ORCID 0000-0001-5017-6192
Brad H Pollock *Department of Public Health Sciences, University of California, Davis, CA, United States.ORCID 0000-0003-4415-8638
Miriam Nuño *Department of Public Health Sciences, University of California, Davis, CA, United States.ORCID 0000-0003-2089-7276

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHealthy 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.

objectiveThis 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.

methodsThis 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.

resultsA 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.

conclusionsThe 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.

Indexed as

COVID-19SARS-CoV-2AdultAgedCOVID-19 TestingFemaleHumansMalePandemicsUnited StatesUniversitiesYoung Adultadherencecommunity basedcommunity surveillancecompliancecoronavirusCOVID-19COVID-19 surveillance programdemographicdemographicsengagementHDT: HYTHealthy Davis TogetherHealthy Yolo Togetherinfection controlinfectiousparticipationPCRpolymerase chain reactionpublic healthresponse programresponse programsreverse transcription quantitative polymerase chain reactionRT-qPCRSARS-CoV-2severe acute respiratory syndrome coronavirus 2surveillancetestingtrendtrendsUnited StatesUSAviralvirusviruses

Identifiers

PMID38631033
PMCPMC11025600

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.