Evidence map›Paper›PMID 33601984›Full record

ArticlePublic health reports (Washington, D.C. : 1974)2021

Participatory COVID-19 Surveillance Tool in Rural Appalachia : Real-Time Disease Monitoring and Regional Response.

Jennifer D Runkle, Maggie M Sugg, Garrett Graham, Bryan Hodge, Terri March, Jennifer Mullendore, Fletcher Tove, Martha Salyers, Steve Valeika, Ellis Vaughan

Abstract read
In one paragraph

Article in Public health reports (Washington, D.C. : 1974), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Review
  2. Innovations in public health surveillance: An overview of novel use of data and analytic methods.Canada communicable disease report = Releve des maladies transmissibles au Canada · 2024
    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

10 authors.

Jennifer D Runkle6798 North Carolina Institute for Climate Studies, North Carolina State University, Asheville, NC, USA.ORCID 0000-0003-4611-1745
Maggie M Sugg1801 Department of Geography and Planning, Appalachian State University, Boone, NC, USA.
Garrett Graham6798 North Carolina Institute for Climate Studies, North Carolina State University, Asheville, NC, USA.
Bryan Hodge26520 Mountain Area Health Education, Asheville, NC, USA.
Terri MarchHendersonville Family Medicine Residency, Mountain Area Health Education, Asheville, NC, USA.
Jennifer MullendoreBuncombe County Health and Human Services, Asheville, NC, USA.
Fletcher ToveBuncombe County Health and Human Services, Asheville, NC, USA.
Martha Salyers183128 Public Health and Human Services Division, Eastern Band of the Cherokee Indians, Cherokee, NC, USA.
Steve Valeika2331 Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
Ellis VaughanBuncombe County Health and Human Services, Asheville, NC, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionFew US studies have examined the usefulness of participatory surveillance during the coronavirus disease 2019 (COVID-19) pandemic for enhancing local health response efforts, particularly in rural settings. We report on the development and implementation of an internet-based COVID-19 participatory surveillance tool in rural Appalachia.

methodsA regional collaboration among public health partners culminated in the design and implementation of the COVID-19 Self-Checker, a local online symptom tracker. The tool collected data on participant demographic characteristics and health history. County residents were then invited to take part in an automated daily electronic follow-up to monitor symptom progression, assess barriers to care and testing, and collect data on COVID-19 test results and symptom resolution.

resultsNearly 6500 county residents visited and 1755 residents completed the COVID-19 Self-Checker from April 30 through June 9, 2020. Of the 579 residents who reported severe or mild COVID-19 symptoms, COVID-19 symptoms were primarily reported among women (n = 408, 70.5%), adults with preexisting health conditions (n = 246, 70.5%), adults aged 18-44 (n = 301, 52.0%), and users who reported not having a health care provider (n = 131, 22.6%). Initial findings showed underrepresentation of some racial/ethnic and non-English-speaking groups. PRACTICAL IMPLICATIONS: This low-cost internet-based platform provided a flexible means to collect participatory surveillance data on local changes in COVID-19 symptoms and adapt to guidance. Data from this tool can be used to monitor the efficacy of public health response measures at the local level in rural Appalachia.

Indexed as

Internet-Based InterventionSelf ReportSymptom AssessmentAdolescentAdultAgedAppalachian RegionCOVID-19Data CollectionFemaleHumansMaleMiddle AgedPatient ParticipationPublic Health SurveillanceSARS-CoV-2COVID-19digital epidemiologyinternet data collectionlongitudinal assessmentonline data entryparticipatory surveillancesymptom checker

Identifiers

PMID33601984
PMCPMC8580398

What OpenQuestion holds

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Registered trials

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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.