Article(id=1242138775678165647, tenantId=1146029695717560320, journalId=1146031591421210625, issueId=1242138750193578878, articleNumber=null, orderNo=23, doi=10.3981/j.issn.1000-7857.2020.22.015, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1592409600000, receivedDateStr=2020-06-18, revisedDate=1599926400000, revisedDateStr=2020-09-13, acceptedDate=null, acceptedDateStr=null, onlineDate=1610588808873, onlineDateStr=2021-01-14, pubDate=1606492800000, pubDateStr=2020-11-28, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1610588808873, onlineIssueDateStr=2021-01-14, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1774078561941, creator=sys-migrate, updateTime=1774078561941, updator=sys-migrate, issue=Issue{id=1242138750193578878, tenantId=1146029695717560320, journalId=1146031591421210625, year='2020', volume='38', issue='22', pageStart='1', pageEnd='148', issueExtLink='null', onlineDate='null', pubDate='null', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=3, issueType=-1, specialIssue=null, createTime=1774078555865, creator=sys-migrate, updateTime=1774078555865, updator=sys-migrate, preIssue=null, nextIssue=null, ext=null, issueFiles=null}, startPage=130, endPage=138, ext={EN=ArticleExt(id=1242138781344670394, articleId=1242138775678165647, tenantId=1146029695717560320, journalId=1146031591421210625, language=EN, title=Simulation of COVID-19 propagation and transmission mechanism and intervention effect based on generalized SEIR model, columnId=1150494644690366681, journalTitle=Science & Technology Review, columnName=Papers, runingTitle=null, highlight=null, articleAbstract=The coronavirus disease 2019 has spread to a great number of countries and regions around the world, and the spread processes and the infection prediction models of the COVID-19 vary from country to country. Based on the COVID-19 published data from the United States and China, this paper first applies the generalized SEIR model to estimate the disease transmission parameters, then, determines the influence of each parameter in the basic infection number R₀ on the disease. Based on the Anylogic simulation, a system dynamics model is used to analyze the parameter sensitivity, and to quantitatively characterize the influence of key parameters on the disease transmission. Finally, according to the analysis results, some targeted prevention and control intervention measures are put forward, with China and the United States as examples to simulate the intervention effects of different prevention and control levels. It is found that the generalized SEIR model fits well with the transmission mechanism of the COVID-19 in China and the United States. The protection rate, the infection rate and the average quarantine time have a significant impact on the prevention and the control of the epidemic. Targeted measures are adopted to improve the protection rate, reduce the infection rate and shorten the average quarantine time., correspAuthors=null, authorNote=null, correspAuthorsNote=null, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, pdfUrl=null, pdf=Yi10PuQEBJBZJQyxGcbT/A==, pdfFileSize=2241593, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=null, mapNumber=null, authorCompany=1. College of Transportation Engineering, Chang'an University, Xi'an 710064, China;
2. School of Economics and Management, Chang'an University, Xi'an 710064, China, fund=null, authors=WANG Jianwei¹, CUI Zhiwei², PAN Xiaoxiong², DONG Shi¹, authorsList=WANG Jianwei, CUI Zhiwei, PAN Xiaoxiong, DONG Shi), CN=ArticleExt(id=1242138778962309125, articleId=1242138775678165647, tenantId=1146029695717560320, journalId=1146031591421210625, language=CN, title=基于广义SEIR模型的新冠肺炎传播机制及干预效果仿真, columnId=1146540929516700224, journalTitle=科技导报, columnName=研究论文, runingTitle=null, highlight=null, articleAbstract=新型冠状病毒肺炎（新冠肺炎）已在全球多个国家和地区蔓延，且不同国家和地区新冠肺炎的传播扩散过程和传染预测模式不尽相同。以美国和中国新冠肺炎公开数据为样本，首先应用广义SEIR模型，对疾病传播参数进行估计。其次，确定基本传染数R₀中各参数对疾病的影响，进而基于Anylogic仿真，利用系统动力学模型进行参数敏感性分析，定量表征关键参数对疾病传播的影响。最后，根据分析结果提出针对性的防控干预措施，以中美为例模拟不同防控级别的干预效果。研究发现，广义SEIR模型对中国与美国新冠肺炎传播机制的拟合性较好，保护率、感染率和平均检疫时间对防控疫情影响显著，并可以通过针对性的措施来提高保护率、降低感染率、缩短平均检疫时间。, correspAuthors=null, authorNote=王建伟,教授,研究方向为交通运输规划与管理,电子信箱:wjianwei@chd.edu.cn, correspAuthorsNote=null, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, pdfUrl=null, pdf=VXIvHD+KrcPtFmIVfJ/xjg==, pdfFileSize=2241593, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=null, mapNumber=null, authorCompany=1. 长安大学运输工程学院, 西安 710064;
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