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Chlamydia trachomatis (Ct) is the most common bacterial sexually transmittedinfection (STI) in the United States and is major cause of infertility, pelvicinflammatory disease, and ectopic pregnancy among women. Despite decades ofscreening women for Ct, rates continue to increase among them in high prevalentareas such as New Orleans. A pilot study in New Orleans found approximately 11%of 14-24 year old of African Americans (AAs) were infected with Ct.  Our goal is to mathematically model the impact of different interventions forAA men resident in New Orleans on the general rate of Ct among women residentat the same region. We create and analyze mathematical models such asmulti-risk and continuous-risk compartmental models and agent-based networkmodel to first help understand the spread of Ct and second evaluate andestimate behavioral and biomedical interventions including condom-use,screening, partner notification, social friend notification, and rescreening.Our compartmental models predict the Ct prevalence is a function of the numberof partners for a person, and quantify how this distribution changes as afunction of condom-use. We also observe that although increased Ct screeningand rescreening, and treating partners of infected people will reduce theprevalence, these mitigations alone are not sufficient to control the epidemic.A combination of both sexual partner and social friend notification is neededto mitigate Ct.

Mathematical Models for Predicting and Mitigating the Spread of Chlamydia Sexually Transmitted Infection