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A multilayer temporal network model for STD spreading accounting for permanent and casual partners
Aram Vajdi1, David Juher2, Joan Saldaña2
1Kansas StateUniversity, Department of Electrical and Computer Engineering, Manhattan, Kansas, USA. avajdi@ksu.edu.
Scientific Reports
|March 4, 2020
Summary
This study models sexually transmitted diseases (STDs) using a two-layer network, incorporating casual partners. Findings show that longer casual partnerships significantly lower STD transmission thresholds.
Area of Science:
- Epidemiology
- Network Science
- Mathematical Biology
Background:
- Sexually transmitted disease (STD) modeling traditionally uses contact networks.
- Recent trends highlight the growing impact of casual partners, often facilitated by dating applications.
Purpose of the Study:
- To investigate the Susceptible-Infected-Susceptible (SIS) epidemic model on a novel two-layer network.
- To analyze the influence of casual partnerships on STD transmission dynamics.
Main Methods:
- Development of a two-layer network model representing steady and casual partnerships.
- Application of mean-field equations and stochastic simulations.
- Derivation of the epidemic threshold under varying network conditions.
Main Results:
- The addition of a second layer (casual partnerships) substantially decreases the epidemic threshold.
- The epidemic threshold is dependent on the duration of casual partnerships.
- Longer casual partnerships lead to a lower epidemic threshold.
Conclusions:
- Casual partnerships play a significant role in STD spreading dynamics.
- Network structure, particularly the inclusion of casual links, is crucial for accurate STD modeling.
- Intervention strategies may need to consider the duration and nature of casual partnerships.
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