• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

国家间 COVID-19 发病率和死亡率的决定因素。

The determinants of COVID-19 morbidity and mortality across countries.

机构信息

Singapore University of Social Sciences, Singapore, Singapore.

Nanyang Technological University, Singapore, Singapore.

出版信息

Sci Rep. 2022 Apr 7;12(1):5888. doi: 10.1038/s41598-022-09783-9.

DOI:10.1038/s41598-022-09783-9
PMID:35393471
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8989117/
Abstract

We identify 21 predetermined country-level factors that explain marked variations in weekly COVID-19 morbidity and mortality across 91 countries between January and the end of 2020. Besides factors commonly associated with infectious diseases (e.g., population and tourism activities), we discover a list of country characteristics that shape COVID-19 outcomes. Among demographic-geographic factors, the male-to-female ratio, population density, and urbanization aggravate the severity of COVID-19, while education, temperature, and religious diversity mitigate the impact of the pandemic on morbidity and mortality. For the political-legal dimension, democracy and political corruption are aggravating factors. In contrast, female leadership, the strength of legal systems, and public trust in government significantly reduce infections and deaths. In terms of socio-economic aspects, GDP per capita, income inequality, and happiness (i.e., life satisfaction) lead to worse COVID-19 outcomes. Interestingly, technology advancement increases morbidity but reduces mortality. For healthcare factors, SARS (severe acute respiratory syndrome) experience and healthcare infrastructure help countries perform better in combating the pandemic.

摘要

我们确定了 21 个预先设定的国家层面因素,这些因素解释了 2020 年 1 月至年底期间 91 个国家每周 COVID-19 发病率和死亡率的显著差异。除了与传染病相关的常见因素(如人口和旅游活动)之外,我们还发现了一系列塑造 COVID-19 结果的国家特征。在人口地理因素中,男女性别比、人口密度和城市化加剧了 COVID-19 的严重程度,而教育、温度和宗教多样性减轻了大流行对发病率和死亡率的影响。在政治法律层面,民主和政治腐败是加剧因素。相比之下,女性领导、法律制度的强度和公众对政府的信任显著降低了感染和死亡人数。在社会经济方面,人均国内生产总值、收入不平等和幸福感(即生活满意度)导致 COVID-19 结果恶化。有趣的是,技术进步增加了发病率,但降低了死亡率。在医疗保健因素方面,SARS(严重急性呼吸系统综合征)的经验和医疗保健基础设施有助于各国在抗击大流行方面表现更好。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3a2f/8991221/930531f6476d/41598_2022_9783_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3a2f/8991221/0a8823440485/41598_2022_9783_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3a2f/8991221/85e1651a13c3/41598_2022_9783_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3a2f/8991221/04ac889be1fe/41598_2022_9783_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3a2f/8991221/d2e14e68ff39/41598_2022_9783_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3a2f/8991221/930531f6476d/41598_2022_9783_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3a2f/8991221/0a8823440485/41598_2022_9783_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3a2f/8991221/85e1651a13c3/41598_2022_9783_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3a2f/8991221/04ac889be1fe/41598_2022_9783_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3a2f/8991221/d2e14e68ff39/41598_2022_9783_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3a2f/8991221/930531f6476d/41598_2022_9783_Fig5_HTML.jpg

相似文献

1
The determinants of COVID-19 morbidity and mortality across countries.国家间 COVID-19 发病率和死亡率的决定因素。
Sci Rep. 2022 Apr 7;12(1):5888. doi: 10.1038/s41598-022-09783-9.
2
Pandemic preparedness and COVID-19: an exploratory analysis of infection and fatality rates, and contextual factors associated with preparedness in 177 countries, from Jan 1, 2020, to Sept 30, 2021.大流行防范与新冠疫情:对2020年1月1日至2021年9月30日期间177个国家的感染率、死亡率以及与防范相关的背景因素进行的探索性分析。
Lancet. 2022 Apr 16;399(10334):1489-1512. doi: 10.1016/S0140-6736(22)00172-6. Epub 2022 Feb 1.
3
Diverging levels of COVID-19 governmental response satisfaction across middle eastern Arab countries: a multinational study.不同中东阿拉伯国家对 COVID-19 政府应对措施满意度的差异:一项多国研究。
BMC Public Health. 2022 May 5;22(1):893. doi: 10.1186/s12889-022-13292-9.
4
Country-level determinants of the severity of the first global wave of the COVID-19 pandemic: an ecological study.国家层面因素对 COVID-19 大流行首个全球浪潮严重程度的影响:一项生态学研究。
BMJ Open. 2021 Feb 3;11(2):e042034. doi: 10.1136/bmjopen-2020-042034.
5
Government Reactions, Citizens' Responses, and COVID-19 around the World.政府反应、公民响应与全球新冠疫情
Int J Environ Res Public Health. 2022 May 6;19(9):5667. doi: 10.3390/ijerph19095667.
6
The Role of Information and Communications Technology Policies and Infrastructure in Curbing the Spread of the Novel Coronavirus: Cross-country Comparative Study.信息和通信技术政策与基础设施在遏制新型冠状病毒传播方面的作用:跨国比较研究。
JMIR Public Health Surveill. 2022 Jan 7;8(1):e31066. doi: 10.2196/31066.
7
When Covid-19 first struck: Analysis of the influence of structural characteristics of countries - technocracy is strengthened by open democracy.当新冠疫情首次爆发时:对各国结构性特征影响的分析——开放民主增强了技术统治。
PLoS One. 2021 Oct 4;16(10):e0257757. doi: 10.1371/journal.pone.0257757. eCollection 2021.
8
Democracy and case fatality rate of COVID-19 at early stage of pandemic: a multicountry study.疫情早期的民主与 COVID-19 病死率:一项多国研究。
Environ Sci Pollut Res Int. 2022 Feb;29(6):8694-8704. doi: 10.1007/s11356-021-16250-x. Epub 2021 Sep 7.
9
Early days of the pandemic-The association of economic and socio-political country characteristics with the development of the COVID-19 death toll.大流行早期-经济和社会政治国家特征与 COVID-19 死亡人数发展的关联。
PLoS One. 2021 Aug 31;16(8):e0256736. doi: 10.1371/journal.pone.0256736. eCollection 2021.
10
A SARS-CoV-2 Surveillance System in Sub-Saharan Africa: Modeling Study for Persistence and Transmission to Inform Policy.撒哈拉以南非洲的新冠病毒监测系统:关于持续存在和传播以指导政策的建模研究
J Med Internet Res. 2020 Nov 19;22(11):e24248. doi: 10.2196/24248.

引用本文的文献

1
Consensus based recommendations for the management of post-COVID long-term sequelae (Long COVID): a regional perspective.基于共识的新冠后长期后遗症(长新冠)管理建议:区域视角
Front Med (Lausanne). 2025 Aug 6;12:1453167. doi: 10.3389/fmed.2025.1453167. eCollection 2025.
2
Association of COVID-19 outcomes with measures of institutional and interpersonal trust: an ecological analysis using national data from 61 countries.新冠疫情结局与机构及人际信任度指标的关联:一项使用61个国家全国数据的生态分析
Sci Rep. 2025 Jul 21;15(1):26393. doi: 10.1038/s41598-025-09758-6.
3
Gini coefficient, GDP per capita and COVID-19 mortality: a systematic review of ecologic studies.

本文引用的文献

1
Claiming Health as a Public Good in the Post-COVID-19 Era.在后新冠疫情时代将健康宣称为一项公共利益。
Development (Rome). 2020;63(2-4):200-204. doi: 10.1057/s41301-020-00255-z. Epub 2020 Nov 10.
2
Gender differences in COVID-19 attitudes and behavior: Panel evidence from eight countries.COVID-19 态度和行为的性别差异:来自八个国家的面板证据。
Proc Natl Acad Sci U S A. 2020 Nov 3;117(44):27285-27291. doi: 10.1073/pnas.2012520117. Epub 2020 Oct 15.
3
The COVID-19 social media infodemic.新冠病毒肺炎疫情相关社交媒体信息疫情。
基尼系数、人均国内生产总值与新冠病毒死亡率:生态学研究的系统评价
BMC Public Health. 2025 May 27;25(1):1960. doi: 10.1186/s12889-025-22921-y.
4
Transforming partnerships through transboundary research.通过跨界研究转变伙伴关系。
BMJ Glob Health. 2025 Apr 10;10(4):e017602. doi: 10.1136/bmjgh-2024-017602.
5
The extended impact of the COVID-19 pandemic on medical imaging case volumes: a retrospective study.COVID-19大流行对医学影像病例量的长期影响:一项回顾性研究。
PeerJ. 2025 Mar 5;13:e18987. doi: 10.7717/peerj.18987. eCollection 2025.
6
Geospatial modelling of COVID19 mortality in Oman using geographically weighted Poisson regression GWPR.使用地理加权泊松回归(GWPR)对阿曼新冠肺炎死亡率进行地理空间建模。
Sci Rep. 2025 Mar 8;15(1):8138. doi: 10.1038/s41598-025-92753-8.
7
Pre-existing IgG antibodies to HCoVs NL63 and OC43 Spike increased during the pandemic and after COVID-19 vaccination.在大流行期间以及接种新冠疫苗后,针对人冠状病毒NL63和OC43刺突蛋白的预先存在的IgG抗体有所增加。
Heliyon. 2025 Jan 22;11(3):e42171. doi: 10.1016/j.heliyon.2025.e42171. eCollection 2025 Feb 15.
8
Analysis of equity in the distribution of human resources and hospital beds and its association with the COVID-19 mortality rate: a case of Iran.人力资源与医院床位分配的公平性分析及其与新冠肺炎死亡率的关联:以伊朗为例
BMC Health Serv Res. 2025 Jan 20;25(1):110. doi: 10.1186/s12913-025-12277-9.
9
The impact of osteosarcopenia and its parameters on mortality of COVID-19 in-hospitalized older patients: the findings of BEH (Bushehr elderly health) program.骨质疏松性肌少症及其参数对COVID-19住院老年患者死亡率的影响:BEH(布什尔老年人健康)项目的研究结果
J Diabetes Metab Disord. 2024 Jun 12;23(2):1919-1928. doi: 10.1007/s40200-024-01443-1. eCollection 2024 Dec.
10
Humoral and cellular immune response to AZD1222 /Covishield and BV152/Covaxin COVID-19 vaccines among adults in India.印度成年人对 AZD1222/Covishield 和 BV152/Covaxin COVID-19 疫苗的体液和细胞免疫反应。
Hum Vaccin Immunother. 2024 Dec 31;20(1):2410579. doi: 10.1080/21645515.2024.2410579. Epub 2024 Oct 21.
Sci Rep. 2020 Oct 6;10(1):16598. doi: 10.1038/s41598-020-73510-5.
4
Changing Age Distribution of the COVID-19 Pandemic - United States, May-August 2020.新冠疫情年龄分布变化 - 美国,2020 年 5 月至 8 月。
MMWR Morb Mortal Wkly Rep. 2020 Oct 2;69(39):1404-1409. doi: 10.15585/mmwr.mm6939e1.
5
Coronavirus: Why Men are More Vulnerable to Covid-19 Than Women?冠状病毒:为何男性比女性更容易感染新冠病毒?
SN Compr Clin Med. 2020;2(7):874-876. doi: 10.1007/s42399-020-00341-w. Epub 2020 Jun 4.
6
Cross-Country Comparisons of Covid-19: Policy, Politics and the Price of Life.新冠疫情的跨国比较:政策、政治与生命代价
Environ Resour Econ (Dordr). 2020;76(4):525-551. doi: 10.1007/s10640-020-00466-5. Epub 2020 Aug 4.
7
Digital technologies in the public-health response to COVID-19.数字技术在应对 COVID-19 中的公共卫生响应。
Nat Med. 2020 Aug;26(8):1183-1192. doi: 10.1038/s41591-020-1011-4. Epub 2020 Aug 7.
8
Evidence That Higher Temperatures Are Associated With a Marginally Lower Incidence of COVID-19 Cases.有证据表明,较高的温度与 COVID-19 病例的发病率略有降低有关。
Front Public Health. 2020 Jul 10;8:367. doi: 10.3389/fpubh.2020.00367. eCollection 2020.
9
Effects of temperature and humidity on the daily new cases and new deaths of COVID-19 in 166 countries.温度和湿度对 166 个国家 COVID-19 每日新增病例和死亡人数的影响。
Sci Total Environ. 2020 Aug 10;729:139051. doi: 10.1016/j.scitotenv.2020.139051. Epub 2020 Apr 28.
10
Demographic science aids in understanding the spread and fatality rates of COVID-19.人口科学有助于了解 COVID-19 的传播和死亡率。
Proc Natl Acad Sci U S A. 2020 May 5;117(18):9696-9698. doi: 10.1073/pnas.2004911117. Epub 2020 Apr 16.