A sexually transmitted infection model with long-term partnerships in homogeneous and heterogenous populations.

ABSTRACT: Population models for sexually transmitted infections frequently use a transmission model that assumes an inherent partnership length of zero. However, in a population with long-term partnerships, the infection status of the partners, the length of the partnership, and the exclusivity of the partnership significantly affect the rate of infection. We develop an autonomous population model that can account for the possibilities of an infection from either a casual sexual partner or a longtime partner who was either infected at the start of the partnership or was newly infected. The impact of the long-term partnerships on the rate of infection is captured by calculating the expected values of the rate of infection from these extended contacts. We present a new method to evaluate partner acqui

SUBMITTER: Gurski KF 

PROVIDER: S-EPMC6538957 | biostudies-literature | 2019

REPOSITORIES: biostudies-literature