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Contribution of high risk groups’ unmet needs may be underestimated in epidemic models without risk turnover: A mechanistic modelling analysis

Infectious Disease Modelling(2020)10.1016/j.idm.2020.07.004Source: DataRank Database

Contribution of high risk groups’ unmet needs may be underestimated in epidemic models without risk turnover: A mechanistic modelling analysis is a research paper published in Infectious Disease Modelling (2020). On theSindex it has a DataRank of 0. It has been cited 2 times.

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Open Access2 citations

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datarank_citation_only_1hop_v6· scope data_onlyMethodology

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Enrichment:Funding (6 grants)Impact (FWCI 0.26)OA: goldTopics (40)IDs (PubMed, PMC, OpenAlex)Annotations (1)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 (8)

Stefan Baral ORCID,Sheree Schwartz,Linwei Wang ORCID,Huiting Ma ORCID,Katherine Young ORCID

Live enrichment

PubMed:32913937 PMC:PMC7452422 OpenAlex:https://openalex.org/W2999489060

NINR NIH HHS

Grant: R01 NR016650

Canadian Institutes of Health Research

Grant: unidentified

unidentified

National Institutes of Health

Grant: 3P30AI094189-13S3

The Johns Hopkins Center for AIDS Research (JHU CFAR)

National Institutes of Health

Grant: 1P30AI094189-01A1

Administrative Core

National Institutes of Health

Grant: 5R01NR016650-05

An Adaptive Randomized Evaluation of Nurse-led HIV Treatment Retention Interventions for Women Living with HIV

National Institutes of Health

FWCI

0.26

Citation Percentile

0.5%

Citation Trend

2021

2022

goldLicense: cc-by-nc-nd

journalhttps://www.sciencedirect.com/science/article/pii/S2468042720300282/pdf

GOLDhttps://www.sciencedirect.com/science/article/pii/S2468042720300282/pdf

publisherhttps://www.sciencedirect.com/science/article/pii/S2468042720300282/pdf

publisherhttps://api.elsevier.com/content/article/PII:S2468042720300282?httpAccept=text/xml

publisherhttps://api.elsevier.com/content/article/PII:S2468042720300282?httpAccept=text/plain

Fields of Study

Reproductive tract infections researchAdolescent Sexual and Reproductive HealthCOVID-19 epidemiological studiesBiologyMathematicsMedicine03 medical and health sciences0302 clinical medicine0305 other medical science

Keywords

TurnoverHerd immunityAttributable riskDemographyRelative riskRisk modelRisk assessmentPopulationMedicineEnvironmental healthRisk analysis (engineering)Internal medicineEconomicsConfidence intervalTransmissionSexually Transmitted InfectionMathematical ModellingPopulation Attributable FractionHiv, Human Immunodeficiency VirusRisk HeterogeneitySti, Sexually Transmitted InfectionTpaf, Transmission Population Attributable FractionPopulations and Evolution (q-bio.PE)Infectious and parasitic diseasesRC109-216Dynamical Systems (math.DS)FOS: Biological sciencesFOS: MathematicsOriginal Research ArticleMathematics - Dynamical SystemsQuantitative Biology - Populations and Evolution

Sustainable Development Goals

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

Contribution of high risk groups’ unmet needs may be underestimated in epidemic models without risk turnover: A mechanistic modelling analysis

FAIR Checklist

Authors (8)

Funding (6 grants)

Impact

Open Access

Topics

Annotations (Europe PMC)