在处理COVID-19数字时,生态研究可能会产生误导:印度的多元化统一

R. Aravindakshan, L. Jamir, R. Kakkar
{"title":"在处理COVID-19数字时,生态研究可能会产生误导:印度的多元化统一","authors":"R. Aravindakshan, L. Jamir, R. Kakkar","doi":"10.2139/ssrn.3706720","DOIUrl":null,"url":null,"abstract":"Vulnerability to disasters is a well-researched area. However, a major disaster in the form of a pandemic occurs once in a century. The models made for disaster preparedness are untested for such a calamity. The publication of a vulnerability index for the states in India proclaimed that the same can be applicable to COVID-19 too. The evolving pandemic in a vast geographic area such as India has not been predicable to a great extent. The vulnerability index was subjected to spatial regression and the vulnerability index was found to be lacking in significance at this stage of the pandemic. The emerging data will be continued to be scrutinized and spatial associations will be analysed.","PeriodicalId":293794,"journal":{"name":"Public Health Research Network","volume":"23 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Ecological Studies Can Be Misleading when Dealing with COVID-19 Numbers: Diversified Unity of India\",\"authors\":\"R. Aravindakshan, L. Jamir, R. Kakkar\",\"doi\":\"10.2139/ssrn.3706720\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Vulnerability to disasters is a well-researched area. However, a major disaster in the form of a pandemic occurs once in a century. The models made for disaster preparedness are untested for such a calamity. The publication of a vulnerability index for the states in India proclaimed that the same can be applicable to COVID-19 too. The evolving pandemic in a vast geographic area such as India has not been predicable to a great extent. The vulnerability index was subjected to spatial regression and the vulnerability index was found to be lacking in significance at this stage of the pandemic. The emerging data will be continued to be scrutinized and spatial associations will be analysed.\",\"PeriodicalId\":293794,\"journal\":{\"name\":\"Public Health Research Network\",\"volume\":\"23 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-10-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Public Health Research Network\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.2139/ssrn.3706720\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Public Health Research Network","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2139/ssrn.3706720","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

对灾害的脆弱性是一个研究得很好的领域。然而,以流行病形式出现的重大灾难百年一遇。为备灾而建立的模型还没有经受过这种灾难的考验。印度各邦脆弱性指数的发布表明,同样的情况也适用于2019冠状病毒病。在印度等广大地理区域不断演变的流行病在很大程度上是无法预测的。对脆弱性指数进行了空间回归,发现脆弱性指数在大流行的这一阶段缺乏重要性。将继续仔细审查新出现的数据,并分析空间关联。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Ecological Studies Can Be Misleading when Dealing with COVID-19 Numbers: Diversified Unity of India
Vulnerability to disasters is a well-researched area. However, a major disaster in the form of a pandemic occurs once in a century. The models made for disaster preparedness are untested for such a calamity. The publication of a vulnerability index for the states in India proclaimed that the same can be applicable to COVID-19 too. The evolving pandemic in a vast geographic area such as India has not been predicable to a great extent. The vulnerability index was subjected to spatial regression and the vulnerability index was found to be lacking in significance at this stage of the pandemic. The emerging data will be continued to be scrutinized and spatial associations will be analysed.
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