• 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

新冠疫情后健康不平等问题:对与健康相关的可持续发展目标指标演变过程中潜在损失的估计。

Post-COVID-19 health inequalities: Estimates of the potential loss in the evolution of the health-related SDGs indicators.

机构信息

Oswaldo Cruz Foundation (FIOCRUZ), Belo Horizonte, Brazil.

Department of Health Management, Nursing School, Federal University of Minas Gerais, Belo Horizonte, Brazil.

出版信息

PLoS One. 2024 Jul 24;19(7):e0305955. doi: 10.1371/journal.pone.0305955. eCollection 2024.

DOI:10.1371/journal.pone.0305955
PMID:39046943
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11268624/
Abstract

This study delves into the global evolution of 43 Sustainable Development Goals (SDG) indicators, spanning 7 major health themes across 185 countries to evaluate the potential progress loss due to the COVID-19 pandemic. Both the cross-country and temporal variability of the dataset are employed to estimate an empirical model based on an extended version of the Preston curve, which links well-being to income levels and other key socioeconomic health determinants. The approach reveals significant global evolution trends operating in each SDG indicator assessed. We extrapolate the model yearly between 2020 and 2030 using the IMF's pre-COVID-19 economic growth projections to show how each country in the dataset are expected to evolve in these health topics throughout the decade, assuming no other external shocks. The results of this baseline scenario are contrasted with a post-COVID-19 scenario, where most of the pandemic costs were already known. The study reveals that economic growth losses are, on average, estimated as 42% and 28% for low- and lower middle-income countries, and of 15% and 7% in high- and upper middle-income countries, respectively, according to the IMF's projections. These disproportional figures are shown to exacerbate global health inequalities revealed by the curves. The expected progress loss in infectious diseases in low-income countries, for instance, is an average of 34%, against a mean of 6% in high-income countries. The theme of Infectious diseases is followed by injuries and violence; maternal and reproductive health; health systems coverage; and neonatal and infant health as those with worse performance. Low-income countries can expect an average progress loss of 16% across all health indicators assessed, whereas in high-income countries the estimated loss is as low as 3%. The disparity across countries is even more pronounced, with cases where the estimated progress loss is as high as nine times worse than the average loss of 8%. Conversely, countries with greater fiscal capacity are likely to fare much better under the circumstances, despite their worse death count, in many cases. Overall, these findings support the critical importance of integrating the fight against inequalities into the global development agendas.

摘要

本研究深入探讨了 43 项可持续发展目标(SDG)指标在全球范围内的演变,这些指标涵盖了 185 个国家的 7 个主要健康主题,以评估 COVID-19 大流行导致的潜在进展损失。本研究利用数据集的跨国和时间可变性,基于扩展后的普雷斯顿曲线(Preston curve),对一个经验模型进行了估计,该模型将福利与收入水平和其他关键社会经济健康决定因素联系起来。该方法揭示了在所评估的每个 SDG 指标中运作的显著全球演变趋势。我们使用国际货币基金组织(IMF)在 COVID-19 之前的经济增长预测,对 2020 年至 2030 年之间的模型进行了每年的外推,以显示数据集中的每个国家在整个十年内如何在这些健康主题中演变,假设没有其他外部冲击。这一基准情景的结果与 COVID-19 后的情景进行了对比,后者已经知道了大流行的大部分成本。研究结果显示,根据国际货币基金组织的预测,中低收入国家的经济增长损失平均估计为 42%和 28%,高收入和上中等收入国家的经济增长损失分别为 15%和 7%。这些不成比例的数字被显示为加剧了曲线所揭示的全球健康不平等。例如,低收入国家在传染病方面的预期进展损失平均为 34%,而高收入国家的平均水平为 6%。传染病主题之后是伤害和暴力、孕产妇和生殖健康、卫生系统覆盖范围以及新生儿和婴儿健康,这些主题的表现更差。低收入国家预计所有评估的健康指标的平均进展损失为 16%,而高收入国家的估计损失低至 3%。各国之间的差距更加明显,在某些情况下,预计进展损失是平均损失的 8 倍的 9 倍。相反,在许多情况下,尽管财政能力更强的国家的死亡人数更多,但在这种情况下,它们的表现可能要好得多。总的来说,这些发现支持了将不平等斗争纳入全球发展议程的至关重要性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/570c/11268624/fe0939e5559a/pone.0305955.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/570c/11268624/28370f73bb6e/pone.0305955.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/570c/11268624/fe0939e5559a/pone.0305955.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/570c/11268624/28370f73bb6e/pone.0305955.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/570c/11268624/fe0939e5559a/pone.0305955.g002.jpg

相似文献

1
Post-COVID-19 health inequalities: Estimates of the potential loss in the evolution of the health-related SDGs indicators.新冠疫情后健康不平等问题:对与健康相关的可持续发展目标指标演变过程中潜在损失的估计。
PLoS One. 2024 Jul 24;19(7):e0305955. doi: 10.1371/journal.pone.0305955. eCollection 2024.
2
Measuring progress from 1990 to 2017 and projecting attainment to 2030 of the health-related Sustainable Development Goals for 195 countries and territories: a systematic analysis for the Global Burden of Disease Study 2017.衡量 1990 年至 2017 年期间的进展情况,并预测 195 个国家和地区在 2030 年实现与健康相关的可持续发展目标的情况:基于 2017 年全球疾病负担研究的系统分析。
Lancet. 2018 Nov 10;392(10159):2091-2138. doi: 10.1016/S0140-6736(18)32281-5. Epub 2018 Nov 8.
3
Measuring progress and projecting attainment on the basis of past trends of the health-related Sustainable Development Goals in 188 countries: an analysis from the Global Burden of Disease Study 2016.基于过去健康相关可持续发展目标趋势衡量进展和预测完成情况:来自 2016 年全球疾病负担研究的分析。
Lancet. 2017 Sep 16;390(10100):1423-1459. doi: 10.1016/S0140-6736(17)32336-X. Epub 2017 Sep 12.
4
The sustainable health Agenda in the Americas: Pre-pandemic gaps and 2030 estimates of the SDGs indicators.美洲的可持续卫生议程:大流行前的差距和 2030 年可持续发展目标指标的估计。
PLoS One. 2022 Jun 21;17(6):e0270301. doi: 10.1371/journal.pone.0270301. eCollection 2022.
5
Monitoring the progress of health-related sustainable development goals (SDGs) in Brazilian states using the Global Burden of Disease indicators.利用全球疾病负担指标监测巴西各州与健康相关的可持续发展目标(SDGs)的进展情况。
Popul Health Metr. 2020 Sep 30;18(Suppl 1):7. doi: 10.1186/s12963-020-00207-2.
6
How feasible is it to mobilize $31 billion a year for pandemic preparedness and response? An economic growth modelling analysis.每年为大流行病的防备和应对调动 310 亿美元的可能性有多大?一项经济增长模型分析。
Global Health. 2024 Jul 19;20(1):54. doi: 10.1186/s12992-024-01058-4.
7
Global age-sex-specific mortality, life expectancy, and population estimates in 204 countries and territories and 811 subnational locations, 1950-2021, and the impact of the COVID-19 pandemic: a comprehensive demographic analysis for the Global Burden of Disease Study 2021.204 个国家和地区及 811 个次国家级行政单位 1950 年至 2021 年的全球年龄、性别特异性死亡率、预期寿命和人口估计,以及 COVID-19 大流行的影响:2021 年全球疾病负担研究的综合人口分析。
Lancet. 2024 May 18;403(10440):1989-2056. doi: 10.1016/S0140-6736(24)00476-8. Epub 2024 Mar 11.
8
Monitoring the status of selected health related sustainable development goals: methods and projections to 2030.监测选定与健康相关的可持续发展目标的现状:方法和 2030 年预测。
Glob Health Action. 2020 Dec 31;13(1):1846903. doi: 10.1080/16549716.2020.1846903.
9
Global fertility in 204 countries and territories, 1950-2021, with forecasts to 2100: a comprehensive demographic analysis for the Global Burden of Disease Study 2021.204 个国家和地区的全球生育率,1950-2021 年,预测至 2100 年:2021 年全球疾病负担研究的综合人口分析。
Lancet. 2024 May 18;403(10440):2057-2099. doi: 10.1016/S0140-6736(24)00550-6. Epub 2024 Mar 20.
10
Financing transformative health systems towards achievement of the health Sustainable Development Goals: a model for projected resource needs in 67 low-income and middle-income countries.为实现卫生可持续发展目标而构建变革性卫生系统的筹资:67 个低收入和中等收入国家预计资源需求模型。
Lancet Glob Health. 2017 Sep;5(9):e875-e887. doi: 10.1016/S2214-109X(17)30263-2. Epub 2017 Jul 17.

本文引用的文献

1
The best medicine for improving global health? Reduce inequality.改善全球健康的最佳良药?减少不平等。
Nature. 2023 Jul;619(7969):221. doi: 10.1038/d41586-023-02251-y.
2
Health, income, and the preston curve: A long view.健康、收入与普雷斯顿曲线:长远视角
Econ Hum Biol. 2023 Jan;48:101212. doi: 10.1016/j.ehb.2022.101212. Epub 2022 Dec 14.
3
COVID-19: where do we go from here?新冠疫情:我们从这里走向何方?
Lancet. 2021 Dec 18;398(10318):2207. doi: 10.1016/S0140-6736(21)02790-2.
4
Gender inequality during the COVID-19 pandemic: Income, expenditure, savings, and job loss.新冠疫情期间的性别不平等:收入、支出、储蓄和失业。
World Dev. 2021 Apr;140:105296. doi: 10.1016/j.worlddev.2020.105296. Epub 2020 Nov 10.
5
Impact of COVID-19 pandemic on time series of maternal mortality ratio in Bahia, Brazil: analysis of period 2011-2020.巴西巴伊亚州孕产妇死亡率时间序列受 COVID-19 大流行的影响:2011-2020 年期间分析。
BMC Pregnancy Childbirth. 2021 Jun 10;21(1):423. doi: 10.1186/s12884-021-03899-y.
6
Quarantine alone or in combination with other public health measures to control COVID-19: a rapid review.单独隔离或与其他公共卫生措施相结合以控制新冠病毒病:一项快速综述
Cochrane Database Syst Rev. 2020 Sep 15;9(9):CD013574. doi: 10.1002/14651858.CD013574.pub2.
7
Association of Social and Demographic Factors With COVID-19 Incidence and Death Rates in the US.社会人口因素与美国 COVID-19 发病率和死亡率的关联。
JAMA Netw Open. 2021 Jan 4;4(1):e2036462. doi: 10.1001/jamanetworkopen.2020.36462.
8
Demographic and public health characteristics explain large part of variability in COVID-19 mortality across countries.人口统计学和公共卫生特征解释了 COVID-19 死亡率在各国之间存在巨大差异的很大一部分原因。
Eur J Public Health. 2021 Feb 1;31(1):12-16. doi: 10.1093/eurpub/ckaa226.
9
Effects of the COVID-19 Pandemic on Cancer-Related Patient Encounters.新冠疫情对癌症相关患者诊疗的影响。
JCO Clin Cancer Inform. 2020 Jul;4:657-665. doi: 10.1200/CCI.20.00068.
10
Impact of self-imposed prevention measures and short-term government-imposed social distancing on mitigating and delaying a COVID-19 epidemic: A modelling study.自行采取预防措施和短期政府实施社会隔离对减轻和延缓 COVID-19 疫情的影响:建模研究。
PLoS Med. 2020 Jul 21;17(7):e1003166. doi: 10.1371/journal.pmed.1003166. eCollection 2020 Jul.