Next Article in Journal
Understanding Different Types of Recreational Runners and How They Use Running-Related Technology
Next Article in Special Issue
Preliminary Study of Sars-Cov-2 Occurrence in Wastewater in the Czech Republic
Previous Article in Journal
Health Literacy among Health and Social Care University Students
Article

Quarantine Vehicle Scheduling for Transferring High-Risk Individuals in Epidemic Areas

1
College of Computer Science and Technology, Zhejiang University of Technology, Hangzhou 310023, China
2
School of Information Science and Engineering, Hangzhou Normal University, Hangzhou 311121, China
*
Author to whom correspondence should be addressed.
Int. J. Environ. Res. Public Health 2020, 17(7), 2275; https://0-doi-org.brum.beds.ac.uk/10.3390/ijerph17072275
Received: 9 March 2020 / Revised: 20 March 2020 / Accepted: 23 March 2020 / Published: 27 March 2020
(This article belongs to the Special Issue Disaster Nursing and Public Health Emergency Preparedness)
In a large-scale epidemic outbreak, there can be many high-risk individuals to be transferred for medical isolation in epidemic areas. Typically, the individuals are scattered across different locations, and available quarantine vehicles are limited. Therefore, it is challenging to efficiently schedule the vehicles to transfer the individuals to isolated regions to control the spread of the epidemic. In this paper, we formulate such a quarantine vehicle scheduling problem for high-risk individual transfer, which is more difficult than most well-known vehicle routing problems. To efficiently solve this problem, we propose a hybrid algorithm based on the water wave optimization (WWO) metaheuristic and neighborhood search. The metaheuristic uses a small population to rapidly explore the solution space, and the neighborhood search uses a gradual strategy to improve the solution accuracy. Computational results demonstrate that the proposed algorithm significantly outperforms several existing algorithms and obtains high-quality solutions on real-world problem instances for high-risk individual transfer in Hangzhou, China, during the peak period of the novel coronavirus pneumonia (COVID-19). View Full-Text
Keywords: public health emergencies; epidemics; medical isolation; vehicle scheduling; optimization; water wave optimization (WWO) public health emergencies; epidemics; medical isolation; vehicle scheduling; optimization; water wave optimization (WWO)
Show Figures

Figure 1

MDPI and ACS Style

Zhang, M.-X.; Yan, H.-F.; Wu, J.-Y.; Zheng, Y.-J. Quarantine Vehicle Scheduling for Transferring High-Risk Individuals in Epidemic Areas. Int. J. Environ. Res. Public Health 2020, 17, 2275. https://0-doi-org.brum.beds.ac.uk/10.3390/ijerph17072275

AMA Style

Zhang M-X, Yan H-F, Wu J-Y, Zheng Y-J. Quarantine Vehicle Scheduling for Transferring High-Risk Individuals in Epidemic Areas. International Journal of Environmental Research and Public Health. 2020; 17(7):2275. https://0-doi-org.brum.beds.ac.uk/10.3390/ijerph17072275

Chicago/Turabian Style

Zhang, Min-Xia, Hong-Fan Yan, Jia-Yu Wu, and Yu-Jun Zheng. 2020. "Quarantine Vehicle Scheduling for Transferring High-Risk Individuals in Epidemic Areas" International Journal of Environmental Research and Public Health 17, no. 7: 2275. https://0-doi-org.brum.beds.ac.uk/10.3390/ijerph17072275

Find Other Styles
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Back to TopTop