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Influence of network structure on infectious disease control
Nariyuki Nakagiri1, Hiroki Yokoi2, Yukio Sakisaka3
1School of Human Science and Environment, University of Hyogo, Himeji 670-0092, Japan.
Mathematical Biosciences and Engineering : MBE
|April 29, 2025
Summary
Targeting a central "hub city" can eliminate infectious disease spread in a three-city network. Increased interaction doesn
Area of Science:
- Epidemiology
- Computational modeling
- Network theory
Background:
- Controlling infectious diseases is crucial for human health.
- The susceptible-infected-susceptible (SIS) model describes infection and recovery dynamics.
- Understanding disease spread in spatially separated populations with migration is complex.
Purpose of the Study:
- To investigate infectious disease control in a three-city network using the SIS model.
- To evaluate the impact of a 'hub city' on disease transmission and control strategies.
- To explore the relationship between agent interaction and infection spread.
Main Methods:
- Agent-based modeling (ABM) simulation of human populations migrating between three cities.
- Metapopulation dynamics theory applied to the network structure.
- Analysis of disease spread and control effectiveness under different scenarios.
Main Results:
- A 'hub city' significantly influences disease control outcomes.
- Infection can be eliminated by implementing control measures solely on the hub city.
- Increased agent interaction did not consistently lead to greater infection spread, a paradoxical finding.
Conclusions:
- Strategic disease control focused on a central hub city is highly effective.
- Metapopulation dynamics and agent-based simulations provide consistent insights into disease control.
- Intervention strategies should consider network structure, particularly the role of hub locations.
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