Mapping the heterogeneity of population response in different countries to the spread of COVID-19

N.E. Krasnoshtanova, A.K. Cherkashin
{"title":"Mapping the heterogeneity of population response in different countries to the spread of COVID-19","authors":"N.E. Krasnoshtanova, A.K. Cherkashin","doi":"10.22389/0016-7126-2024-1006-4-20-29","DOIUrl":null,"url":null,"abstract":"\nGeoinformation modeling and mapping were carried out and depicted in cartograms of the individual parameters of the models necessary for calculating the society response current indicators to spreading of the new coronavirus COVID-19 pandemic in various countries. The epidemic process is described in terms of the reliability theory by the accumulation of the disease frequency as the sum of the daily increase proportion in coronavirus infection’s confirmed cases. The Fréchet distribution function of the maximum values of the population reaction moments to contagion is used as a mathematical model for the growth trend. The statistical processing of spatial data is based on a non-dimensional indicator of integrated disease hazard and its linearized version, which enables calculating the mapped parameters of the model changing from country to country and indicating the efficiency of prevention and anti-epidemic measures implemented by the state and society\n","PeriodicalId":502308,"journal":{"name":"Geodesy and cartography","volume":"62 14","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Geodesy and cartography","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.22389/0016-7126-2024-1006-4-20-29","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Geoinformation modeling and mapping were carried out and depicted in cartograms of the individual parameters of the models necessary for calculating the society response current indicators to spreading of the new coronavirus COVID-19 pandemic in various countries. The epidemic process is described in terms of the reliability theory by the accumulation of the disease frequency as the sum of the daily increase proportion in coronavirus infection’s confirmed cases. The Fréchet distribution function of the maximum values of the population reaction moments to contagion is used as a mathematical model for the growth trend. The statistical processing of spatial data is based on a non-dimensional indicator of integrated disease hazard and its linearized version, which enables calculating the mapped parameters of the model changing from country to country and indicating the efficiency of prevention and anti-epidemic measures implemented by the state and society
绘制不同国家人口对 COVID-19 传播的异质性反应图
进行了地理信息建模和制图,并在模型单个参数的制图中进行了描述,这些参数是计算社会对新型冠状病毒 COVID-19 在各国传播的当前指标所必需的。根据可靠性理论,疫情过程是通过疾病频率的累积,即冠状病毒感染确诊病例每日增加比例的总和来描述的。人口对传染病反应时刻最大值的弗雷谢特分布函数被用作增长趋势的数学模型。对空间数据的统计处理基于综合疾病危害的非维度指标及其线性化版本,这使得能够计算不同国家的模型映射参数,并显示国家和社会实施的预防和抗击流行病措施的效率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
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