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Governance structure affects transboundary disease management under alternative objectives.
Julie C Blackwood1, Mykhaylo M Malakhov2, Junyan Duan3
1Department of Mathematics and Statistics, Williams College, Williamstown, 01267, MA, USA. jcb5@williams.edu.
BMC Public Health
|October 3, 2021
Summary
Decentralized public health policies may worsen infectious disease spread across jurisdictions. Tailoring disease management to governance structures is crucial for effective, globally coordinated outcomes.
Area of Science:
- Epidemiology
- Public Health Policy
- Mathematical Modeling
Background:
- Public health policy development is closely tied to governance structures.
- Globalization increases human migration and infectious disease spread across diverse jurisdictions.
- Limited research exists on how regulatory authority allocation impacts disease management.
Purpose of the Study:
- To evaluate decentralized versus centralized infectious disease management.
- To analyze the effects of governance structure on disease control outcomes.
- To model optimal strategies considering migration and varying objectives.
Main Methods:
- Developed and numerically analyzed a two-jurisdiction SIRS model.
- Incorporated human migration between jurisdictions.
- Simulated interventions like vaccination, isolation, and travel bans.
Main Results:
- Optimal strategies significantly differ between decentralized and centralized management.
- Locally optimized policies can lead to increased cases and deaths globally.
- Individual jurisdiction interests may conflict with global disease control objectives.
Conclusions:
- Disease management plans must align with regulatory structures for evidence-based policy.
- Governance structure significantly impacts infectious disease outcomes.
- Greater consideration of governance in public health policy is essential.
Keywords:
GovernanceInfectious diseaseManagementMathematical modelMigrationObjectivesPublic health policyMore Related Videos
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