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Optimal strategic pandemic control: human mobility and travel restriction
Wentao Hu1, Yufeng Shi1,2, Cuixia Chen3
1Institute for Financial Studies and School of Mathematics, Shandong University, Shandanan Road, Jinan 250100, China.
Mathematical Biosciences and Engineering : MBE
|November 24, 2021
Summary
This study models pandemic control, incorporating human mobility between regions. Optimal strategies balancing economic cost and resource limits depend on mobility, duration, and resources.
Area of Science:
- Epidemiology
- Public Health Policy
- Mathematical Modeling
Background:
- Pandemics necessitate effective control strategies.
- Cross-region human mobility significantly impacts disease spread.
- Existing models often overlook inter-regional dynamics.
Purpose of the Study:
- To develop an optimal pandemic control model considering human mobility.
- To integrate testing and lockdown policies for economic cost minimization.
- To analyze the influence of mobility on mitigation outcomes.
Main Methods:
- Extended the susceptible-infectious-recovered (SIR) epidemiological model.
- Incorporated net human mobility between regions.
- Optimized mitigation policies under resource constraints.
Main Results:
- Optimal strategies are sensitive to mitigation duration, resources, and human mobility.
- Cross-region mobility significantly affects regional and overall outcomes.
- Quantitative analysis of travel restriction impacts.
Conclusions:
- Human mobility is a critical factor in pandemic control.
- Integrated strategies considering mobility are essential for effective pandemic response.
- Policy decisions must account for economic impacts and resource limitations.
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