A Multi-risk Model for Understanding the Spread of Chlamydia

Asma Azizi (), Ling Xue () and James M. Hyman ()
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Asma Azizi: Tulane University, Department of Mathematics
Ling Xue: Tulane University, Department of Mathematics
James M. Hyman: Tulane University, Department of Mathematics

A chapter in Mathematical and Statistical Modeling for Emerging and Re-emerging Infectious Diseases, 2016, pp 249-268 from Springer

Abstract: Abstract Chlamydia trachomatis, CT, infection is the most frequently reported sexually transmitted infection in the United States. To better understand the recent increase in disease prevalence, and help guide in mitigation efforts, we created and analyzed a multi-risk model for the spread of chlamydia in the heterosexual community. The model incorporates the heterogeneous mixing between men and women with different number of partners and the parameters are defined to approximate the disease transmission in the 15–25 year-old New Orleans African American community. We use sensitivity analysis to assess the relative impact of different levels of screening interventions and behavior changes on the basic reproduction number. Our results quantify, and validate, the impact that reducing the probability of transmission per sexual contact, such as using prophylactic condoms, can have on CT prevalence.

Keywords: Mathematical modeling; Sexually transmitted infection; STI; Chlamydia; Epidemic model; Basic reproduction number; Sensitivity analysis (search for similar items in EconPapers)
Date: 2016
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-319-40413-4_15

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DOI: 10.1007/978-3-319-40413-4_15

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