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Glenn F Webb

Biographic Data

ID3574352
NAMEGlenn F Webb
GIVEN NAMESGlenn F
FAMILY NAMEWebb
SIGNATUREWEBB G F
AFFILIATIONSInstitute for Family Health
ORCID0000-0003-4210-0280
VERIFIEDYes
TOTAL WORKS2
TOTAL CITATIONS1
AUTHOR COUNT2
EDITOR COUNT0
FIRST PUBLICATION YEAR1991
LATEST PUBLICATION YEAR2020
H-INDEX1
  • Predicting the long-term impact of voluntary medical male circumcision on HIV incidence among men who have sex with men in Beijing, China

    Chen Zhang, Glenn F Webb et al.•ARTICLE•AIDS Care•2020

    Using a deterministic compartmental modeling procedure to fit prevalence from 2005–2015, we projected new HIV cases during 2016–2026 under different coverage rates ranging from 0.0001 (at baseline) to 0.15 (an optimistic assumption) with simulations on varying transmission rates, model calibration to match historical data, and sensitivity analyses for different assumptions. Compared with the baseline (λ = 0.0001), we found the new HIV cases would…

  • Qualitative methods in operations research on contraceptive distribution systems

    Open Access•Glenn F Webb, Glenn Webb et al.•ARTICLE•Social Science & Medicine•1991•Cited by: 1•References: 11

  • Qualitative methods in operations research on contraceptive distribution systems

    Open Access•Glenn F Webb, Glenn Webb et al.•ARTICLE•Social Science & Medicine•1991•Cited by: 1•References: 11

  • Qualitative methods in operations research on contraceptive distribution systems

    Open Access•Glenn F Webb, Glenn Webb et al.•ARTICLE•Social Science & Medicine•1991•Cited by: 1•References: 11

  • Predicting the long-term impact of voluntary medical male circumcision on HIV incidence among men who have sex with men in Beijing, China

    Chen Zhang, Glenn F Webb et al.•ARTICLE•AIDS Care•2020

    Using a deterministic compartmental modeling procedure to fit prevalence from 2005–2015, we projected new HIV cases during 2016–2026 under different coverage rates ranging from 0.0001 (at baseline) to 0.15 (an optimistic assumption) with simulations on varying transmission rates, model calibration to match historical data, and sensitivity analyses for different assumptions. Compared with the baseline (λ = 0.0001), we found the new HIV cases would…

Demography (2 works) · Medicine (2 works) · Population (2 works) · Beijing (1 works) · Business (1 works) · China (1 works) · Cross-Cultural and Social Analysis (1 works) · Demography (1 works) · Distribution (mathematics (1 works) · Environmental health (1 works)

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