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Methodology of emergency medical logistics for multiple epidemic areas in public health emergency
- Source :
- PLoS ONE, PLoS ONE, Vol 16, Iss 7, p e0253978 (2021)
- Publication Year :
- 2021
- Publisher :
- Public Library of Science (PLoS), 2021.
-
Abstract
- Coronavirus disease 2019(COVID-19) has brought great disasters to humanity, and its influence continues to intensify. In response to the public health emergencies, prompt relief supplies are key to reduce the damage. This paper presents a method of emergency medical logistics to quick response to emergency epidemics. The methodology includes two recursive mechanisms: (1) the time-varying forecasting of medical relief demand according to a modified susceptible-exposed-infected- Asymptomatic- recovered (SEIAR) epidemic diffusion model, (2) the relief supplies distribution based on a multi-objective dynamic stochastic programming model. Specially, the distribution model addresses a hypothetical network of emergency medical logistics with considering emergency medical reserve centers (EMRCs), epidemic areas and e-commerce warehousing centers as the rescue points. Numerical studies are conducted. The results show that with the cooperation of different epidemic areas and e-commerce warehousing centers, the total cost is 6% lower than without considering cooperation of different epidemic areas, and 9.7% lower than without considering cooperation of e-commerce warehousing centers. Particularly, the total cost is 20% lower than without considering any cooperation. This study demonstrates the importance of cooperation in epidemic prevention, and provides the government with a new idea of emergency relief supplies dispatching, that the rescue efficiency can be improved by mutual rescue between epidemic areas in public health emergency.
- Subjects :
- Viral Diseases
Emergency Medical Services
Critical Care and Emergency Medicine
Epidemiology
Physiology
Total cost
0211 other engineering and technologies
Transportation
02 engineering and technology
Biochemistry
Medical Conditions
Mathematical and Statistical Techniques
Immune Physiology
Pandemic
Medicine and Health Sciences
0202 electrical engineering, electronic engineering, information engineering
Emergency medical services
Intersectoral Collaboration
Immune System Proteins
021103 operations research
Multidisciplinary
Statistics
Stochastic programming
Infectious Diseases
Physical Sciences
Medicine
Engineering and Technology
020201 artificial intelligence & image processing
Public Health
Research Article
China
medicine.medical_specialty
Civil defense
Death Rates
Science
Immunology
Research and Analysis Methods
Antibodies
Infectious Disease Epidemiology
Population Metrics
medicine
Humans
Operations management
Statistical Methods
Pandemics
Government
Models, Statistical
Population Biology
SARS-CoV-2
business.industry
Public health
Biology and Life Sciences
Proteins
COVID-19
Civil Defense
Covid 19
Emergencies
business
Mathematics
Forecasting
Subjects
Details
- ISSN :
- 19326203
- Volume :
- 16
- Database :
- OpenAIRE
- Journal :
- PLOS ONE
- Accession number :
- edsair.doi.dedup.....0d27d5bdf0b2f7ffc731f880b7c501df