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Path Optimization of Medical Waste Transport Routes in the Emergent Public Health Event of COVID-19: A Hybrid
Ziyuan Liu1, Zhi Li2, Weiming Chen3
1School of Economics and Management, China University of Geosciences, Wuhan 430074, China.
Summary
This study developed an efficient model for urban medical waste transport during public health emergencies like COVID-19. The optimized logistics ensure timely disposal, crucial for preventing disease spread and environmental contamination.
Area of Science:
- Environmental Science
- Public Health
- Operations Research
Background:
- The COVID-19 pandemic highlighted challenges in managing medical waste efficiently.
- Effective transport of medical waste is critical for public health and environmental safety.
Purpose of the Study:
- To develop an optimized model for urban medical waste storage site location.
- To establish an efficient transport model for medical waste between hospitals and temporary storage stations.
Main Methods:
- Utilized an immune algorithm to create a location model for urban medical waste storage sites.
- Employed an ant colony-tabu hybrid algorithm for an efficiency-of-transport model.
- Validated the model using Wuhan, China, as a case study during the COVID-19 outbreak.
Main Results:
- The developed two-level model and the IA-ACO-TS algorithm demonstrated effective simulation and testing.
- The model successfully addressed the complexities of medical waste disposal via temporary storage stations.
Conclusions:
- The proposed model and algorithm offer a significant solution for medical waste management during public health emergencies.
- This approach holds potential for widespread application in China and globally for emergency medical waste dispatch.
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