Predicting Material Demand During Sudden Health Emergencies Based on Enhanced SEIR-D Model
Author:
Affiliation:
1. School of Transportation Engineering, East China Jiaotong University, China
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3644116.3644361
Reference10 articles.
1. A comparison of delayed SIR and SEIR epidemic models
2. A new dynamical modeling SEIR with global analysis applied to the real data of spreading COVID-19 in Saudi Arabia
3. Cao S Feng P Shi P. 2020. [study on the epidemic development of covid-19 in hubei province by a modified seir model]. Zhejiang da xue xue bao. Yi xue ban = Journal of Zhejiang University. Medical sciences. 49(2):178-184. https://doi.org/10.3785/j.issn.1008-9292.2020.02.05.
4. A genetic algorithm-based grey method for forecasting food demand after snow disasters: an empirical study
5. A new hybrid evolutionary based RBF networks method for forecasting time series: A case study of forecasting emergency supply demand time series
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3