Evidence map›Paper›PMID 36720159›Full record

ArticleJMIR public health and surveillance2023

COVID-19 Testing Practices, Preventive Behaviors, and Factors Associated With Test Positivity: Population-Based Statewide Survey Study.

Mufaro Kanyangarara, Virginie Daguise, Lídia Gual-Gonzalez, Alain H Litwin, Jeffrey Korte, Connor Ross, Melissa S Nolan, SC STRONG Project Team

Open access · goldAbstract read
In one paragraph

Article in JMIR public health and surveillance, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.9field-weighted citation impact, top 16% of its field
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

6 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
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  5. Trends in Testing for SARS-CoV-2 Among Healthcare Workers in a Canadian Cohort Study During the COVID-19 Pandemic, June 2020 to November 2023.The Canadian journal of infectious diseases & medical microbiology = Journal canadien des maladies infectieuses et de la microbiologie medicale · 2025
    Article
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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

8 authors at 4 institutions in 1 country.

Mufaro KanyangararaDepartment of Epidemiology and Biostatistics, University of South Carolina Arnold School of Public Health, Columbia, SC, United States.ORCID 0000-0002-1367-1546
Virginie DaguiseDepartment of Epidemiology and Biostatistics, University of South Carolina Arnold School of Public Health, Columbia, SC, United States.ORCID 0000-0002-7159-3101
Lídia Gual-GonzalezDepartment of Epidemiology and Biostatistics, University of South Carolina Arnold School of Public Health, Columbia, SC, United States.ORCID 0000-0001-9459-3713
Alain H LitwinUniversity of South Carolina School of Medicine, Greenville, SC, United States.ORCID 0000-0002-6717-0288
Jeffrey KorteDepartment of Public Health Sciences, Medical University of South Carolina, Charleston, SC, United States.ORCID 0000-0001-7369-9228
Connor RossDepartment of Epidemiology and Biostatistics, University of South Carolina Arnold School of Public Health, Columbia, SC, United States.ORCID 0000-0002-5344-4241
Melissa S NolanDepartment of Epidemiology and Biostatistics, University of South Carolina Arnold School of Public Health, Columbia, SC, United States.ORCID 0000-0001-8579-5372
SC STRONG Project TeamSee Acknowledgements, Columbia, SC, United States.
University of South Carolina · USSouth Carolina Department of Health and Environmental Control · USMedical University of South Carolina · USPrisma Health · US

Funding

ODCDC CDC HHS NU50CK000542
6 · The paper itself

Abstract

backgroundThe COVID-19 pandemic has challenged public health efforts globally. Timely population-based surveillance is crucial to support public health programs and policies to limit the spread of COVID-19. The South Carolina (SC) Sampling and Testing Representative Outreach for Novel Coronavirus Guidance (SC STRONG) statewide initiative was established to estimate population-level prevalence and immunity and characterize the transmission dynamics of SARS-CoV-2 using community testing and online surveys.

objectiveThis paper aimed to leverage the survey data collected as part of the initiative to understand risk perceptions, testing practices, and preventive behaviors and identify risk factors for COVID-19 test positivity in SC over time.

methodsProbability proportionate to size cluster random sampling was used to select SC residents to participate in testing for COVID-19 infection and antibodies and to complete an online survey. This paper focuses on data from the online surveys completed between November 2020 and June 2021. Descriptive statistics were used to describe risk perceptions, attitudes and behaviors, and associated changes over time. Univariate and multivariate logistic regression models were used to identify factors associated with self-reported COVID-19 test positivity.

resultsAmong the 7170 online survey respondents, 58.7% (4213/7170) self-reported ever testing for COVID-19. The most commonly cited barriers to testing were inconvenient dates, time, and location, as well as discomfort. Overall, 18.7% (790/7170) of respondents reported a history of COVID-19 test positivity. Multivariate logistic regression results indicated that individuals who were aged 50 years or older, self-identified as Black/African American, were obese, and were employed as frontline health care workers or nursing home staff were more likely to self-report COVID-19 test positivity. By contrast, there was a decreased likelihood of test positivity among respondents who were concerned about the burden of COVID-19 in their community and about being infected.

conclusionsStrategies to remove testing barriers should be implemented to improve access. Our findings provide insights on statewide testing patterns, adoption of prevention behaviors, and risk factors for infection and may inform public health strategies to curb transmission.

Indexed as

COVID-19COVID-19 TestingHealth Knowledge, Attitudes, PracticePandemicsAdolescentAdultAgedFemaleHumansMaleMiddle AgedRisk AssessmentRisk FactorsSARS-CoV-2Self ReportSouth CarolinaattitudebehaviorCOVID-19perceptionpopulationpreventionriskrisk factorSARS-CoV-2South CarolinasurveillancesurveytestingUnited States

Identifiers

PMID36720159
PMCPMC10131933
OpenAlexW4318710451

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.