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Published on: July 4, 2007
Dynamic resource allocation for epidemic control in multiple populations
Gregory S Zaric1, Margaret L Brandeau
1Ivey School of Business, University of Western Ontario, London, Ontario N6A 3K7, Canada. gzaric@ivey.uwo.ca
Summary
This study introduces a dynamic model for epidemic control resource allocation. Optimal strategies involve focused investment in specific populations across time periods, with reallocation enhancing health benefits.
Area of Science:
- Epidemiology
- Public Health
- Health Economics
Background:
- Limited budgets necessitate efficient allocation of resources for epidemic control.
- Interventions often impact multiple populations over extended periods.
Purpose of the Study:
- To develop a dynamic resource allocation model for epidemic control.
- To investigate optimal investment strategies across time periods and populations.
Main Methods:
- Developed a dynamic resource allocation model.
- Analyzed special cases with two time periods and independent populations.
- Presented heuristic algorithms for general problem-solving.
- Conducted computational analyses.
Main Results:
- Optimal solutions for special cases involve concentrated investment in select populations per period.
- Heuristic algorithms provide effective solutions for the general problem.
- Reallocating resources over time significantly increases health benefits compared to one-time allocation.
Conclusions:
- Dynamic resource allocation, especially with reallocation, is crucial for maximizing epidemic control effectiveness.
- Simple heuristics can guide effective resource distribution.
- Flexibility in resource allocation over time yields greater public health gains.
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