按 COVID-19 国家分列的人均收入与死亡率之间的关系

Claudiomar Matias Rolim Filho, Mathias Schneid Tessmann, Renan Makoto da Silva Kumagawa
{"title":"按 COVID-19 国家分列的人均收入与死亡率之间的关系","authors":"Claudiomar Matias Rolim Filho, Mathias Schneid Tessmann, Renan Makoto da Silva Kumagawa","doi":"10.1177/09720634231225001","DOIUrl":null,"url":null,"abstract":"This article seeks to investigate the relationship between the per capita income of countries and the deaths resulting from COVID-19 per million inhabitants. For this, information from the twenty-eighth of June 2021 is considered for 186 countries, comprising the five continents. Using the ordinary least squares linear regression technique and data on GDP per capita, human development index, percentage of population with two doses of vaccine, deaths from COVID-19 per million inhabitants, available tests per capita, percentage of population with diabetes, hospital beds available per capita, percentage of the population over 70 years old, population density, democracy index and Gini coefficient, the results show that the countries most vulnerable to the pandemic are those classified as upper-middle-income, with per capita income. Capita, proportion of elderly people and democracy index significantly impact deaths per million inhabitants.","PeriodicalId":509705,"journal":{"name":"Journal of Health Management","volume":"15 10","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-02-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The Relationship Between Per Capita Income and Mortality by COVID-19 of Countries\",\"authors\":\"Claudiomar Matias Rolim Filho, Mathias Schneid Tessmann, Renan Makoto da Silva Kumagawa\",\"doi\":\"10.1177/09720634231225001\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This article seeks to investigate the relationship between the per capita income of countries and the deaths resulting from COVID-19 per million inhabitants. For this, information from the twenty-eighth of June 2021 is considered for 186 countries, comprising the five continents. Using the ordinary least squares linear regression technique and data on GDP per capita, human development index, percentage of population with two doses of vaccine, deaths from COVID-19 per million inhabitants, available tests per capita, percentage of population with diabetes, hospital beds available per capita, percentage of the population over 70 years old, population density, democracy index and Gini coefficient, the results show that the countries most vulnerable to the pandemic are those classified as upper-middle-income, with per capita income. Capita, proportion of elderly people and democracy index significantly impact deaths per million inhabitants.\",\"PeriodicalId\":509705,\"journal\":{\"name\":\"Journal of Health Management\",\"volume\":\"15 10\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-02-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Health Management\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1177/09720634231225001\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Health Management","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1177/09720634231225001","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

本文旨在研究各国人均收入与每百万居民因 COVID-19 死亡人数之间的关系。为此,考虑了五大洲 186 个国家 2021 年 6 月 28 日的信息。利用普通最小二乘法线性回归技术和人均国内生产总值、人类发展指数、接种两剂疫苗的人口比例、每百万居民因 COVID-19 死亡人数、人均可用检测、糖尿病人口比例、人均可用病床、70 岁以上人口比例、人口密度、民主指数和基尼系数等数据,结果表明,最易受大流行病影响的国家是那些被归类为中上等收入的国家,其人均收入、老年人口比例和基尼系数分别为 0.5%、0.5%和 0.5%。人均收入、老年人比例和民主指数对每百万居民的死亡人数有重大影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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
The Relationship Between Per Capita Income and Mortality by COVID-19 of Countries
This article seeks to investigate the relationship between the per capita income of countries and the deaths resulting from COVID-19 per million inhabitants. For this, information from the twenty-eighth of June 2021 is considered for 186 countries, comprising the five continents. Using the ordinary least squares linear regression technique and data on GDP per capita, human development index, percentage of population with two doses of vaccine, deaths from COVID-19 per million inhabitants, available tests per capita, percentage of population with diabetes, hospital beds available per capita, percentage of the population over 70 years old, population density, democracy index and Gini coefficient, the results show that the countries most vulnerable to the pandemic are those classified as upper-middle-income, with per capita income. Capita, proportion of elderly people and democracy index significantly impact deaths per million inhabitants.
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
期刊最新文献
Patient Satisfaction: The Role of Artificial Intelligence in Healthcare Challenges for Cancer Patients Seeking Medical Care During COVID-19 Lockdown in India: A Narrative Review Socio-economic and Demographic Factors Influencing the Nutritional Status of Lactating Mothers in Delhi, India Using Crowdsourced Data to Assess the Impact 
of Shelter-in-Place Orders (SIPO) during COVID-19: Lessons from a Small Island 
Developing State Impact of Government Funded Health Insurance Scheme on OOP and Quality of Health Care: 
A Study of Maternal Health Care in Rajasthan
×
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