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Predicting increases in COVID-19 incidence to identify locations for targeted testing in West Virginia: A machine learning enhanced approach

PLoS ONE(2021)10.1371/journal.pone.0259538Source: DataRank Database

Predicting increases in COVID-19 incidence to identify locations for targeted testing in West Virginia: A machine learning enhanced approach is a research paper published in PLoS ONE (2021). On theSindex it has a DataRank of 0. It has been cited 10 times.

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0DataRank · unranked

Scored on demand from live citation data

Open Access10 citations

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (4 grants)Impact (FWCI 0.45)OA: goldTopics (54)IDs (PubMed, PMC, OpenAlex)SDGs (2)

FAIR Checklist

Context only (not used in score)

Findable (1/2)

Has DOI

Accessible (1/2)

Open Access

Interoperable (0/2)

Reusable (0/3)

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Authors (7)

Maryam Khodaverdi ORCID,Ádám Halász ORCID,Brian Hendricks ORCID,Wesley Kimble ORCID,Gordon S. Smith ORCID

Live enrichment

PubMed:34731188 PMC:PMC8565789 OpenAlex:https://openalex.org/W3208359799

National Institute of General Medical Sciences

Grant: 5U54GM104942-04

West Virginia Clinical and Translational Science Institute: Improving Health through Partnerships and Transformative Research

National Institute of General Medical Sciences

Grant: 5U54GM104942-05S3

NIH HHS

Grant: 5U5 GM104942-05S3

NIGMS NIH HHS

Grant: U54 GM104942

FWCI

0.45

Citation Percentile

0.6%

Citation Trend

2022

2024

2025

2026

goldLicense: cc-by

journalhttps://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0259538&type=printable

publisherhttps://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0259538&type=printable

publisherhttps://dx.plos.org/10.1371/journal.pone.0259538

journalhttps://doi.org/10.1371/journal.pone.0259538

repositoryhttps://pubmed.ncbi.nlm.nih.gov/34731188

Fields of Study

COVID-19 epidemiological studiesData-Driven Disease SurveillanceCOVID-19 Pandemic Impacts0301 basic medicine0303 health sciences03 medical and health sciencesCOVID-19COVID-19 TestingForecastingHumansIncidenceMachine LearningModels, StatisticalPredictive Value of TestsRural PopulationWest Virginia

MeSH Terms

Machine LearningCOVID-19COVID-19 TestingForecastingHumansPredictive Value of TestsRural PopulationWest VirginiaModels, StatisticalIncidence

Keywords

Coronavirus disease 2019 (COVID-19)Incidence (geometry)PopulationDemographySevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)StatisticsTerm (time)West virginiaPandemicEpidemiologyGeographyMedicineMathematicsPathologyRural PopulationModels, StatisticalScienceIncidenceQRCOVID-19ArticleMachine LearningCOVID-19 TestingPredictive Value of TestsHumansResearch ArticleForecasting

Sustainable Development Goals

SDG 3: 3. Good healthSDG 0: Good health and well-being