既往医疗状况是否会影响尼日利亚的COVID-19发病率和病死率?地理视角

T. Osayomi, Richard Adeleke, S. Yaya, Joy Temitope Ayanda, Lawrence Enejeta Akpoterai, Opeyemi Caleb Fatayo
{"title":"既往医疗状况是否会影响尼日利亚的COVID-19发病率和病死率?地理视角","authors":"T. Osayomi, Richard Adeleke, S. Yaya, Joy Temitope Ayanda, Lawrence Enejeta Akpoterai, Opeyemi Caleb Fatayo","doi":"10.1515/openhe-2022-0007","DOIUrl":null,"url":null,"abstract":"Abstract Clinical evidence shows the incidence of novel coronavirus is associated with pre-existing medical conditions. Thus, people with pre-existing medical conditions are more likely to be infected with COVID-19. In light of this, this paper examined the extent to which pre-existing medical conditions are related to COVID-19 incidence and mortality in Nigeria from a geographical perspective. We used the geographically weighted regression (GWR) to determine the effect and extent to which pre-existing medical conditions affect COVID-19 incidence in Nigeria. Our findings show that besides the remarkable spatial variation in COVID-19 incidence and mortality, obesity was a significant predictor of COVID-19 with its effect strongest in southwest Nigeria and other parts of the country. The conclusion of the paper is that areas with high prevalence of pre-existing medical conditions coincide with areas with high COVID-19 incidence and fatality. We recommended that there should be a spatially explicit intervention on the reduction of exposure to COVID-19 among states with high prevalence of pre-existing medical conditions through vaccination.","PeriodicalId":74349,"journal":{"name":"Open health data","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Do pre-existing medical conditions affect COVID-19 incidence and fatality in Nigeria? A Geographical Perspective\",\"authors\":\"T. Osayomi, Richard Adeleke, S. Yaya, Joy Temitope Ayanda, Lawrence Enejeta Akpoterai, Opeyemi Caleb Fatayo\",\"doi\":\"10.1515/openhe-2022-0007\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Abstract Clinical evidence shows the incidence of novel coronavirus is associated with pre-existing medical conditions. Thus, people with pre-existing medical conditions are more likely to be infected with COVID-19. In light of this, this paper examined the extent to which pre-existing medical conditions are related to COVID-19 incidence and mortality in Nigeria from a geographical perspective. We used the geographically weighted regression (GWR) to determine the effect and extent to which pre-existing medical conditions affect COVID-19 incidence in Nigeria. Our findings show that besides the remarkable spatial variation in COVID-19 incidence and mortality, obesity was a significant predictor of COVID-19 with its effect strongest in southwest Nigeria and other parts of the country. The conclusion of the paper is that areas with high prevalence of pre-existing medical conditions coincide with areas with high COVID-19 incidence and fatality. We recommended that there should be a spatially explicit intervention on the reduction of exposure to COVID-19 among states with high prevalence of pre-existing medical conditions through vaccination.\",\"PeriodicalId\":74349,\"journal\":{\"name\":\"Open health data\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Open health data\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1515/openhe-2022-0007\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Open health data","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1515/openhe-2022-0007","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2

摘要

临床证据表明,新型冠状病毒的发病率与既往医疗状况有关。因此,已有疾病的人更有可能感染COVID-19。鉴于此,本文从地理角度研究了尼日利亚现有医疗条件与COVID-19发病率和死亡率的关系程度。我们使用地理加权回归(GWR)来确定已有医疗条件对尼日利亚COVID-19发病率的影响和程度。我们的研究结果表明,除了COVID-19发病率和死亡率的显著空间差异外,肥胖是COVID-19的重要预测因素,其影响在尼日利亚西南部和该国其他地区最强。本文的结论是,既往病史高发地区与新冠肺炎高发和高病死率地区重合。我们建议,应通过接种疫苗,在已有疾病高发的国家开展明确的空间干预,以减少COVID-19的暴露。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Do pre-existing medical conditions affect COVID-19 incidence and fatality in Nigeria? A Geographical Perspective
Abstract Clinical evidence shows the incidence of novel coronavirus is associated with pre-existing medical conditions. Thus, people with pre-existing medical conditions are more likely to be infected with COVID-19. In light of this, this paper examined the extent to which pre-existing medical conditions are related to COVID-19 incidence and mortality in Nigeria from a geographical perspective. We used the geographically weighted regression (GWR) to determine the effect and extent to which pre-existing medical conditions affect COVID-19 incidence in Nigeria. Our findings show that besides the remarkable spatial variation in COVID-19 incidence and mortality, obesity was a significant predictor of COVID-19 with its effect strongest in southwest Nigeria and other parts of the country. The conclusion of the paper is that areas with high prevalence of pre-existing medical conditions coincide with areas with high COVID-19 incidence and fatality. We recommended that there should be a spatially explicit intervention on the reduction of exposure to COVID-19 among states with high prevalence of pre-existing medical conditions through vaccination.
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
审稿时长
10 weeks
×
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