Pair formation models for sexually transmitted infections: A primer.

Area of Science:

• Mathematical Epidemiology
• Infectious Disease Modelling

Background:

• Partnership duration significantly impacts sexually transmitted infection (STI) transmission dynamics.
• Monogamous partnerships offer protection for susceptible pairs and delay transmission for infected pairs.
• Re-infection and partner tracing are critical factors in managing curable STIs.

Purpose of the Study:

• Introduce the fundamental concepts of pair formation models in mathematical epidemiology.
• Illustrate the application of these models for susceptible-infected-susceptible (SIS) epidemic scenarios.
• Review existing results and applications, particularly concerning chlamydia infections.

Main Methods:

• Utilizing pair formation models to represent partnerships in epidemiological studies.
• Applying mathematical frameworks to model STI transmission dynamics.
• Analyzing susceptible-infected-susceptible (SIS) epidemic models incorporating partnership structures.

Main Results:

• Pair formation models provide a robust framework for STI dynamics.
• These models effectively capture the influence of partnership duration on transmission.
• Applications demonstrate utility in understanding STI spread and intervention effectiveness.

Conclusions:

• Pair formation models are essential tools for modeling STIs.
• They offer insights into transmission, re-infection, and contact tracing effectiveness.
• The models are particularly relevant for curable infections like chlamydia.