A Risk-based Model for Predicting the Impact of using Condoms on the Spread of Sexually Transmitted Infections.

Azizi, Asma; Ríos-Soto, Karen; Mubayi, Anuj; M Hyman, James

Azizi, Asma; Ríos-Soto, Karen; Mubayi, Anuj; M Hyman, James.

Afiliación

Azizi A; Department of Mathematics, Tulane University, New Orleans, LA 70118.
Ríos-Soto K; Department of Mathematical Sciences, University of Puerto Rico, Mayaguez P.R, 00610.
Mubayi A; School of Human Evolution and Social Change; Simon A. Levin Mathematical Computational Modeling Science Center, Arizona State University, Tempe, AZ.
M Hyman J; Department of Mathematics, Tulane University, New Orleans, LA 70118.

Infect Dis Model ; 2(1): 100-112, 2017 Feb.

Article en En | MEDLINE | ID: mdl-28989988

Palabras clave

Biased (Preferential) Mixing; Condom-use; Mathematical Modeling; Random (Proportional) Mixing; Risk (Number of Partners); Sexually Transmitted Infection (STI)

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Etiology_studies / Prognostic_studies / Risk_factors_studies Idioma: En Revista: Infect Dis Model Año: 2017 Tipo del documento: Article Pais de publicación: China

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