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A Murine Model of Dengue Virus-induced Acute Viral Encephalitis-like Disease
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Solving Patient Allocation Problem during an Epidemic Dengue Fever Outbreak by Mathematical Modelling
Jung-Fa Tsai1, Tai-Lin Chu1, Edgar Hernan Cuevas Brun1
1Department of Business Management, National Taipei University of Technology, Taipei 10608, Taiwan.
Healthcare (Basel, Switzerland)
|January 21, 2022
Summary
This study optimizes patient and resource allocation during dengue fever outbreaks using linear programming. The models minimize travel distance, improving medical care during epidemics.
Area of Science:
- Epidemiology
- Operations Research
Background:
- Dengue fever is a rapidly spreading mosquito-borne disease.
- Current prevention focuses on vector control and vaccination, but outbreak response mechanisms are crucial.
Purpose of the Study:
- To optimize patient and resource allocation during dengue fever outbreaks.
- To minimize total patient travel distance during an epidemic.
Main Methods:
- Application of single and multiple objective linear programming models.
- Empirical study conducted in Ciudad del Este, Paraguay.
- Utilized data from a private health insurance cooperative.
Main Results:
- Developed and validated models for efficient patient and resource allocation.
- Demonstrated the models' applicability in a real-world dengue outbreak scenario.
- Identified optimal strategies for minimizing patient travel distances.
Conclusions:
- Linear programming models offer effective solutions for managing dengue fever outbreaks.
- Optimized resource allocation can improve essential medical care delivery during epidemics.
- The study provides valuable tools for public health decision-makers and analysts.
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