利用修正Logistic模型确定COVID-19大流行过程

{"title":"利用修正Logistic模型确定COVID-19大流行过程","authors":"","doi":"10.32592/kjmsb.2021.1.1.2","DOIUrl":null,"url":null,"abstract":"Introduction: COVID-19 appeared in China at the end of 2019. It then spread all over the world very quickly. The new type of corona virus COVID-19, which causes respiratory tract infection, is destructive with its high rate of transmission and mortality rate.\nMaterials and Methods: In this study, determining the course of the COVID-19 pandemic for next 4 months in Afghanistan with the help of a specially modified mathematical modeling is intended to reveal.\nResults: results of our study show that the COVID-19 pandemic can affect a large population in Afghanistan in a short time. However, it is possible to reduce the number of cases and deaths very effectively with easy measures.\n\nKeywords: COVID-19, precautions, pandemic, logistic mathematical model, Afghanistan.","PeriodicalId":282364,"journal":{"name":"Kateb Journal of Medical Sciences and Biotechnology","volume":"178 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Determination of the Course of COVID-19 Pandemic Using Modified Logistic Modeling\",\"authors\":\"\",\"doi\":\"10.32592/kjmsb.2021.1.1.2\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Introduction: COVID-19 appeared in China at the end of 2019. It then spread all over the world very quickly. The new type of corona virus COVID-19, which causes respiratory tract infection, is destructive with its high rate of transmission and mortality rate.\\nMaterials and Methods: In this study, determining the course of the COVID-19 pandemic for next 4 months in Afghanistan with the help of a specially modified mathematical modeling is intended to reveal.\\nResults: results of our study show that the COVID-19 pandemic can affect a large population in Afghanistan in a short time. However, it is possible to reduce the number of cases and deaths very effectively with easy measures.\\n\\nKeywords: COVID-19, precautions, pandemic, logistic mathematical model, Afghanistan.\",\"PeriodicalId\":282364,\"journal\":{\"name\":\"Kateb Journal of Medical Sciences and Biotechnology\",\"volume\":\"178 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-07-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Kateb Journal of Medical Sciences and Biotechnology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.32592/kjmsb.2021.1.1.2\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Kateb Journal of Medical Sciences and Biotechnology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.32592/kjmsb.2021.1.1.2","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

导语:2019年底,中国出现新冠肺炎疫情。然后它很快就传遍了世界。新型冠状病毒COVID-19可引起呼吸道感染,具有高传播率和高死亡率的破坏性。材料和方法:在本研究中,借助经过特殊修改的数学模型,确定未来4个月阿富汗COVID-19大流行的进程,旨在揭示。结果:我们的研究结果表明,COVID-19大流行可以在短时间内影响阿富汗的大量人口。然而,采取简单措施可以非常有效地减少病例和死亡人数。关键词:COVID-19,预防措施,大流行,logistic数学模型,阿富汗
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Determination of the Course of COVID-19 Pandemic Using Modified Logistic Modeling
Introduction: COVID-19 appeared in China at the end of 2019. It then spread all over the world very quickly. The new type of corona virus COVID-19, which causes respiratory tract infection, is destructive with its high rate of transmission and mortality rate. Materials and Methods: In this study, determining the course of the COVID-19 pandemic for next 4 months in Afghanistan with the help of a specially modified mathematical modeling is intended to reveal. Results: results of our study show that the COVID-19 pandemic can affect a large population in Afghanistan in a short time. However, it is possible to reduce the number of cases and deaths very effectively with easy measures. Keywords: COVID-19, precautions, pandemic, logistic mathematical model, Afghanistan.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信