An ecological study of vulnerability to COVID-19 in Serbia - using Hotspot Analysis for Evidence-Based Population Health Policy

Q4 Social Sciences Forum Geografic Pub Date : 2022-06-30 DOI:10.5775/fg.2022.103.i
S. Obradović, S. Matović, H. Rabiei-Dastjerdi, S. Matthews
{"title":"An ecological study of vulnerability to COVID-19 in Serbia - using Hotspot Analysis for Evidence-Based Population Health Policy","authors":"S. Obradović, S. Matović, H. Rabiei-Dastjerdi, S. Matthews","doi":"10.5775/fg.2022.103.i","DOIUrl":null,"url":null,"abstract":"The risk of severe illness or death from COVID-19 is associated with specific demographic characteristics or composition of the population within geographic areas, and the spatial relationship between these areas. The aim of this paper is to identify areas with a higher concentration of population vulnerable to COVID-19, relying on the concept of spatial dependence. Hence, we focus on the share of vulnerable populations using several salient proxy measures at municipality level data for Serbia. The degree of vulnerability at the municipality level was determined by hotspot analysis, specifically the Getis-Ord Gi* statistics. The results indicate heterogeneity in the spatial patterning and typologies of clusters across Serbia. This spatial heterogeneity reveals potentially differing degrees of risk across municipalities. The results can inform decision-makers in the fight against COVID-19 by helping to identify those areas with vulnerable populations that if exposed may stress the local health care system. © 2022 University of Craiova, Faculty of Social Sciences, Department of Geography. All rights reserved.","PeriodicalId":37421,"journal":{"name":"Forum Geografic","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2022-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Forum Geografic","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5775/fg.2022.103.i","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"Social Sciences","Score":null,"Total":0}
引用次数: 0

Abstract

The risk of severe illness or death from COVID-19 is associated with specific demographic characteristics or composition of the population within geographic areas, and the spatial relationship between these areas. The aim of this paper is to identify areas with a higher concentration of population vulnerable to COVID-19, relying on the concept of spatial dependence. Hence, we focus on the share of vulnerable populations using several salient proxy measures at municipality level data for Serbia. The degree of vulnerability at the municipality level was determined by hotspot analysis, specifically the Getis-Ord Gi* statistics. The results indicate heterogeneity in the spatial patterning and typologies of clusters across Serbia. This spatial heterogeneity reveals potentially differing degrees of risk across municipalities. The results can inform decision-makers in the fight against COVID-19 by helping to identify those areas with vulnerable populations that if exposed may stress the local health care system. © 2022 University of Craiova, Faculty of Social Sciences, Department of Geography. All rights reserved.
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
塞尔维亚COVID-19脆弱性的生态学研究——基于循证人口卫生政策的热点分析
罹患COVID-19严重疾病或死亡的风险与地理区域内的特定人口特征或人口构成以及这些区域之间的空间关系有关。本文的目的是利用空间依赖的概念,识别出易感染COVID-19的人口集中度较高的地区。因此,我们将重点放在弱势群体的份额上,使用塞尔维亚市政一级数据的几个显著代理措施。通过热点分析,即Getis-Ord Gi*统计,确定了市级的脆弱性程度。结果表明,塞尔维亚集群的空间格局和类型存在异质性。这种空间异质性揭示了不同城市之间潜在的不同风险程度。研究结果可以为决策者提供抗击COVID-19的信息,方法是帮助确定那些弱势群体存在的地区,如果这些地区暴露在外,可能会给当地卫生保健系统带来压力。©2022克拉约瓦大学社会科学学院地理系。版权所有。
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
Forum Geografic
Forum Geografic Earth and Planetary Sciences-Earth-Surface Processes
CiteScore
0.70
自引率
0.00%
发文量
9
审稿时长
12 weeks
期刊介绍: Founded in 2002, Forum geografic. Studii de geografie şi protecţia mediului aims to publish high quality research in the domains of geography, environment protection and other related domains. It addresses a range of issues, such as geomorphology, pedology, climatology, hydrology, human geography and environment. Its content is directed to a broad audience, including both academics and policymakers. The papers selected for publication in the journal are subject to a review process using references from universities worldwide.
期刊最新文献
Flood risk modelling using HEC-RAS and GIS in the semi-urban water-shed of Oued Ziad (Constantine, North-Eastern Algeria) The changing river course and its impact on riverine society: A case study on the Padma River, Murshidabad District, West Bengal (India) Change detection analysis using Landsat images on Balurghat Municipality, West Bengal, India A statistical analysis of temperature and precipitation in Belgrade, Serbia (1961-2020) A multi-temporal Landsat data analysis for land-use/land-cover change in the Northwest mountains region of Vietnam using remote sensing techniques
×
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