ReviewInfectious Disease Modelling2017
Pair formation models for sexually transmitted infections: A primer.
Review in Infectious Disease Modelling, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- Epidemic thresholds across sexual behavior groups in the UK Biobank.Frontiers in reproductive health · 2026Article
- Considering the effects of pair formation dynamics on mpox and HIV co-infection in the gbMSM community.Scientific reports · 2025Article
- Staged HIV transmission and treatment in a dynamic model with long-term partnerships.Journal of mathematical biology · 2023Article
- Partnership dynamics in mathematical models and implications for representation of sexually transmitted infections: a review.Annals of epidemiology · 2021Review
- A multilayer temporal network model for STD spreading accounting for permanent and casual partners.Scientific reports · 2020Article
- A sexually transmitted infection model with long-term partnerships in homogeneous and heterogenous populations.Infectious Disease Modelling · 2019Article
- The role of behavioral changes and prompt treatment in the control of STIs.Infectious Disease Modelling · 2019Article
- Modelling the impact of correlations between condom use and sexual contact pattern on the dynamics of sexually transmitted infections.Theoretical biology & medical modelling · 2018Article
- The epidemiological models of Karl-Peter Hadeler.Infectious Disease Modelling · 2018Article
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2 authors.
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Abstract
For modelling sexually transmitted infections, duration of partnerships can strongly influence the transmission dynamics of the infection. If partnerships are monogamous, pairs of susceptible individuals are protected from becoming infected, while pairs of infected individuals delay onward transmission of the infection as long as they persist. In addition, for curable infections re-infection from an infected partner may occur. Furthermore, interventions based on contact tracing rely on the possibility of identifying and treating partners of infected individuals. To reflect these features in a mathematical model, pair formation models were introduced to mathematical epidemiology in the 1980's. They have since been developed into a widely used tool in modelling sexually transmitted infections and the impact of interventions. Here we give a basic introduction to the concepts of pair formation models for a susceptible-infected-susceptible (SIS) epidemic. We review some results and applications of pair formation models mainly in the context of chlamydia infection.
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