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Progression of a large syphilis outbreak in rural North Carolina through space and time: Application of a Bayesian Maximum Entropy graphical user interface

UNC Libraries(2023)10.17615/jqqs-7s20Source: DataRank Database

Progression of a large syphilis outbreak in rural North Carolina through space and time: Application of a Bayesian Maximum Entropy graphical user interface is a research paper published in UNC Libraries (2023). On theSindex it has a DataRank of 0.

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0DataRank · unranked

Scored on demand from live citation data

Open Access0 citations

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (1 grants)Impact (FWCI 0.00)OA: greenTopics (23)IDs (PubMed, OpenAlex)SDGs (1)

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 (10)

Peter A. Leone,Molly Dunn,Lani Fox ORCID,Marc L. Serre ORCID,Kristen H. Hampton ORCID

Live enrichment

PubMed:21097893 OpenAlex:https://openalex.org/W4380852722

National Institutes of Health

Grant: 5R01AI067913-02

Spatial Epidemiology of Syphilis and Gonorrhea in North Carolina

FWCI

0.00

Citation Percentile

0.1%

greenLicense: CC BY

repositoryhttps://doi.org/10.17615/jqqs-7s20

https://doi.org/10.1371/journal.pgph.0001714

https://dx.doi.org/10.17615/jqqs-7s20

https://pubmed.ncbi.nlm.nih.gov/37141185

http://dx.doi.org/10.1371/journal.pgph.0001714

Fields of Study

demographic modeling and climate adaptationBayesian Methods and Mixture ModelsData-Driven Disease Surveillance

Keywords

Bayesian probabilityGraphical user interfaceOutbreakEntropy (arrow of time)Principle of maximum entropySyphilisComputer scienceGeographyStatisticsEconometricsMathematicsMedicinePhysicsHuman immunodeficiency virus (HIV)VirologyThermodynamicsProgramming languagePublic aspects of medicineRA1-1270Research Article

Sustainable Development Goals

SDG 0: Zero hunger