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Article

Solving Patient Allocation Problem during an Epidemic Dengue Fever Outbreak by Mathematical Modelling

1
Department of Business Management, National Taipei University of Technology, Taipei 10608, Taiwan
2
Department of Urban Industrial Management and Marketing, University of Taipei, Taipei 11153, Taiwan
*
Author to whom correspondence should be addressed.
Academic Editor: Daniele Giansanti
Healthcare 2022, 10(1), 163; https://doi.org/10.3390/healthcare10010163
Received: 8 December 2021 / Revised: 30 December 2021 / Accepted: 10 January 2022 / Published: 15 January 2022
Dengue fever is a mosquito-borne disease that has rapidly spread throughout the last few decades. Most preventive mechanisms to deal with the disease focus on the eradication of the vector mosquito and vaccination campaigns. However, appropriate mechanisms of response are indispensable to face the consequent events when an outbreak takes place. This study applied single and multiple objective linear programming models to optimize the allocation of patients and additional resources during an epidemic dengue fever outbreak, minimizing the summation of the distance travelled by all patients. An empirical study was set in Ciudad del Este, Paraguay. Data provided by a privately run health insurance cooperative was used to verify the applicability of the models in this study. The results can be used by analysts and decision makers to solve patient allocation problems for providing essential medical care during an epidemic dengue fever outbreak. View Full-Text
Keywords: dengue fever; epidemic; optimization; patient allocation; mathematical techniques dengue fever; epidemic; optimization; patient allocation; mathematical techniques
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MDPI and ACS Style

Tsai, J.-F.; Chu, T.-L.; Cuevas Brun, E.H.; Lin, M.-H. Solving Patient Allocation Problem during an Epidemic Dengue Fever Outbreak by Mathematical Modelling. Healthcare 2022, 10, 163. https://doi.org/10.3390/healthcare10010163

AMA Style

Tsai J-F, Chu T-L, Cuevas Brun EH, Lin M-H. Solving Patient Allocation Problem during an Epidemic Dengue Fever Outbreak by Mathematical Modelling. Healthcare. 2022; 10(1):163. https://doi.org/10.3390/healthcare10010163

Chicago/Turabian Style

Tsai, Jung-Fa, Tai-Lin Chu, Edgar H. Cuevas Brun, and Ming-Hua Lin. 2022. "Solving Patient Allocation Problem during an Epidemic Dengue Fever Outbreak by Mathematical Modelling" Healthcare 10, no. 1: 163. https://doi.org/10.3390/healthcare10010163

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