Optimization strategies to fight the COVID-19 pandemic

被引：0
|
作者：
Ochoa-Barragan, Rogelio [1 ]
Munguia-Lopez, Aurora Del Carmen [1 ]
Ponce-Ortega, Jose Maria [1 ]
机构：
[1] Univ Michoacana, Morelia, Michoacan, Mexico
来源：
CIENCIA ERGO-SUM | 2022年 / 29卷 / 04期
关键词：
Optimization; COVID-19; medical resources;
D O I：
10.30878/ces.v29n4a4
中图分类号：
C [社会科学总论];
学科分类号：
03 ; 0303 ;
摘要：
The objective of this work is to present different mathematical optimization strategies that help combat the problems generated by COVID-19. To this end, different strategies are presented that use optimization methodologies commonly applied in other areas of science to address problems such as vaccine logistics, energy consumption, environmental impact, economic impact and management of health resources. Promoting the development of this type of strategy will allow us to be better prepared for the possibility of future pandemics.
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页数：10
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