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The Role of Movement Patterns in Epidemic Models on Complex Networks
Alfonso Ruiz-Herrera1, Pedro J Torres2
1Department of Mathematics, Faculty of Science, University of Oviedo, Oviedo, Spain. ruizalfonso@uniovi.es.
Population mobility significantly impacts epidemic spread. This study identifies network topologies that minimize infections, offering insights for disease management strategies.
Area of Science:
- Epidemiology
- Network Science
- Mathematical Modeling
Background:
- Understanding epidemic dynamics is crucial for public health.
- Spatial network structures and individual movement patterns influence disease transmission.
Purpose of the Study:
- To analyze the impact of movement variables on epidemic spread across different spatial topologies.
- To identify network configurations that minimize the total number of infected individuals.
Main Methods:
- Analysis of epidemic spread on two distinct spatial topologies.
- Modeling without common simplifying assumptions (e.g., uniform diffusion rates, symmetric movement).
Main Results:
- Population mobility is a critical factor in disease transmission.
- Specific network topologies can be identified to reduce overall infections.
Conclusions:
- Mobility patterns are key to controlling epidemics.
- Theoretical insights are provided for effective epidemic management strategies.
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