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Data-Driven Dynamic Adjustment and Optimization Model of Emergency Logistics Network in Public Health
BACKGROUND AND AIM: In the long-term prevention of the COVID-19 pandemic, parameters may change frequently for various reasons, such as the emergence of mutant strains and changes in government policies. These changes will affect the efficiency of the current emergency logistics network. Public heal...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Dove
2022
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8819538/ https://www.ncbi.nlm.nih.gov/pubmed/35140536 http://dx.doi.org/10.2147/RMHP.S350275 |