Spatial comparison of London's three waves of Spanish Flu.

IF 1 4区 医学 Q4 HEALTH CARE SCIENCES & SERVICES Geospatial Health Pub Date : 2023-10-19 DOI:10.4081/gh.2023.1235
Walter Peterson
{"title":"Spatial comparison of London's three waves of Spanish Flu.","authors":"Walter Peterson","doi":"10.4081/gh.2023.1235","DOIUrl":null,"url":null,"abstract":"<p><p>England and Wales experienced three waves of influenza during the 1918/19 Spanish Flu pandemic. A previous analysis showed that these three waves had fundamentally different spatial and temporal characteristics. This present study compares London's experience of the three waves to discern possible geographic differences on a metropolitan level. Borough mortality data for each wave were normalized and then scaled, with spatial autocorrelation techniques displayed by GIS software and analysed for each wave. Registrar General in England and Wales reporting provided data concerning measures of 'health' and 'wealth' for each metropolitan borough. Spearman's rank correlation determined the correlation of each wave's mortality to each of the other waves including the 'health,' 'wealth' and population density factors. The comparisons showed that there is a spatial difference among the waves. The first two are spatially similar, with both exhibiting 'random' autocorrelation patterns, while the third wave exhibits a 'clustered' pattern. The borough mortality of the first two waves strongly correlated with each other, with both having similar 'health,' 'wealth' and population density factors. However, the third wave's mortality did not correlate with any of the first two and actually behaved in an opposite manner with regard to the 'health,' 'wealth,' and population density factors. These results do not appear in the literature and create new opportunities for research to explain London's mortality during the Spanish Flu pandemic of 1918/19.</p>","PeriodicalId":56260,"journal":{"name":"Geospatial Health","volume":null,"pages":null},"PeriodicalIF":1.0000,"publicationDate":"2023-10-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Geospatial Health","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.4081/gh.2023.1235","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"HEALTH CARE SCIENCES & SERVICES","Score":null,"Total":0}
引用次数: 0

Abstract

England and Wales experienced three waves of influenza during the 1918/19 Spanish Flu pandemic. A previous analysis showed that these three waves had fundamentally different spatial and temporal characteristics. This present study compares London's experience of the three waves to discern possible geographic differences on a metropolitan level. Borough mortality data for each wave were normalized and then scaled, with spatial autocorrelation techniques displayed by GIS software and analysed for each wave. Registrar General in England and Wales reporting provided data concerning measures of 'health' and 'wealth' for each metropolitan borough. Spearman's rank correlation determined the correlation of each wave's mortality to each of the other waves including the 'health,' 'wealth' and population density factors. The comparisons showed that there is a spatial difference among the waves. The first two are spatially similar, with both exhibiting 'random' autocorrelation patterns, while the third wave exhibits a 'clustered' pattern. The borough mortality of the first two waves strongly correlated with each other, with both having similar 'health,' 'wealth' and population density factors. However, the third wave's mortality did not correlate with any of the first two and actually behaved in an opposite manner with regard to the 'health,' 'wealth,' and population density factors. These results do not appear in the literature and create new opportunities for research to explain London's mortality during the Spanish Flu pandemic of 1918/19.

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
伦敦三波西班牙流感的空间比较。
1918/19年西班牙流感大流行期间,英格兰和威尔士经历了三波流感。先前的分析表明,这三种波具有根本不同的空间和时间特征。本研究比较了伦敦在三次浪潮中的经历,以辨别大都市层面上可能存在的地理差异。利用GIS软件显示的空间自相关技术,对每波的自治区死亡率数据进行归一化和缩放,并对每波进行分析。英格兰和威尔士注册总署的报告提供了有关每个大都市自治区“健康”和“财富”衡量标准的数据。Spearman的秩相关性确定了每波死亡率与其他每波的相关性,包括“健康”、“财富”和人口密度因素。比较表明,波浪之间存在空间差异。前两个波在空间上相似,都表现出“随机”自相关模式,而第三个波表现出“集群”模式。前两波的自治区死亡率相互关联性很强,两者的“健康”、“财富”和人口密度因素相似。然而,第三波的死亡率与前两波中的任何一波都没有关联,而且在“健康”、“财富”和人口密度因素方面表现相反。这些结果没有出现在文献中,为研究解释1918/19年西班牙流感大流行期间伦敦的死亡率创造了新的机会。
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 去求助
来源期刊
Geospatial Health
Geospatial Health 医学-公共卫生、环境卫生与职业卫生
CiteScore
2.40
自引率
11.80%
发文量
48
审稿时长
12 months
期刊介绍: The focus of the journal is on all aspects of the application of geographical information systems, remote sensing, global positioning systems, spatial statistics and other geospatial tools in human and veterinary health. The journal publishes two issues per year.
期刊最新文献
Childhood stunting in Indonesia: assessing the performance of Bayesian spatial conditional autoregressive models. A two-stage location model covering COVID-19 sampling, transport and DNA diagnosis: design of a national scheme for infection control. The distribution of cardiovascular diseases in Tanzania: a spatio-temporal investigation. Performance of a negative binomial-GLM in spatial scan statistic: a case study of low-birth weights in Pakistan. Tuberculosis in Aceh Province, Indonesia: a spatial epidemiological study covering the period 2019-2021.
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1