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

Authors :
Jung-Fa Tsai
Tai-Lin Chu
Edgar Hernan Cuevas Brun
Ming-Hua Lin
Source :
Healthcare, Vol 10, Iss 163, p 163 (2022), Healthcare, Healthcare; Volume 10; Issue 1; Pages: 163
Publication Year :
2022
Publisher :
MDPI AG, 2022.

Abstract

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.

Details

Language :
English
ISSN :
22279032
Volume :
10
Issue :
163
Database :
OpenAIRE
Journal :
Healthcare
Accession number :
edsair.doi.dedup.....f031161aad293077987c4e351feff56d