• 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

基于科学的新冠疫情严格防控措施解除:利用日本2021年至2022年免疫格局进行死亡率预测

Science-based exit from stringent countermeasures against COVID-19: Mortality prediction using immune landscape between 2021 and 2022 in Japan.

作者信息

Kayano Taishi, Sasanami Misaki, Nishiura Hiroshi

机构信息

Kyoto University School of Public Health, Yoshida-Konoe-cho, Sakyo-ku, Kyoto 606-8501, Japan.

Center for Health Security, Kyoto University Graduate School of Medicine, Yoshida-Konoe-cho, Sakyo-ku, Kyoto 606-8501, Japan.

出版信息

Vaccine X. 2024 Aug 12;20:100547. doi: 10.1016/j.jvacx.2024.100547. eCollection 2024 Oct.

DOI:10.1016/j.jvacx.2024.100547
PMID:39238533
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11375238/
Abstract

BACKGROUND

Stringent public health and social measures against COVID-19 infection were implemented to avoid an overwhelming hospital caseload and excessive number of deaths, especially among elderly people. We analyzed population-level immunity and predicted mortality, calculated as the potential number of deaths on a given calendar date in Japan, to develop a science-based exit strategy from stringent control measures.

METHODS

Immune proportions were inferred by age group using vaccination coverage data and the estimated number of naturally infected individuals. Immunity against symptomatic illness and death were estimated separately, allowing for inference of the immune fraction that was protected against either COVID-19-related symptomatic infection or death. By multiplying the infection fatality risk by age group for the immune fraction, the potential number of deaths was obtained.

RESULTS

Accounting for a second and third dose of messenger RNA vaccine in the present-day population, approximately 155,000 potential deaths would be expected among people aged ≥ 60 years if all individuals were infected at the very end of 2022. A fourth dose (i.e., second booster) with a coverage identical to that of the third dose could reduce mortality by 60%. In all examined settings, the largest number of deaths occurred among people aged 80 years and older.

CONCLUSIONS

Our estimates can help policymakers understand the mortality impact of the COVID-19 epidemic in a quantitative manner and the critical importance of timely immunization so as to assist in decision making.

摘要

背景

为避免医院不堪重负和大量死亡,尤其是老年人死亡,针对新冠病毒感染实施了严格的公共卫生和社会措施。我们分析了人群层面的免疫力并预测了死亡率(以日本给定日历日期的潜在死亡人数计算),以制定基于科学的从严格管控措施中退出的策略。

方法

利用疫苗接种覆盖率数据和估计的自然感染个体数量,按年龄组推断免疫比例。分别估计针对有症状疾病和死亡的免疫力,从而推断出对新冠病毒相关有症状感染或死亡具有保护作用的免疫比例。通过将各年龄组的感染致死风险乘以免疫比例,得出潜在死亡人数。

结果

考虑到当前人群中接种的第二剂和第三剂信使核糖核酸疫苗,如果所有个体在2022年底全部感染,预计60岁及以上人群中约有15.5万人可能死亡。第四剂(即第二次加强针)接种覆盖率与第三剂相同时,可将死亡率降低60%。在所有研究的情况下,死亡人数最多的是80岁及以上人群。

结论

我们的估计有助于政策制定者以定量方式了解新冠疫情对死亡率的影响以及及时免疫的至关重要性,从而辅助决策。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/820e/11375238/6673963a66e9/gr5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/820e/11375238/bc90435325a2/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/820e/11375238/a01ae9d1284b/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/820e/11375238/c07db730fc82/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/820e/11375238/87f3517e5bdf/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/820e/11375238/6673963a66e9/gr5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/820e/11375238/bc90435325a2/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/820e/11375238/a01ae9d1284b/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/820e/11375238/c07db730fc82/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/820e/11375238/87f3517e5bdf/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/820e/11375238/6673963a66e9/gr5.jpg

相似文献

1
Science-based exit from stringent countermeasures against COVID-19: Mortality prediction using immune landscape between 2021 and 2022 in Japan.基于科学的新冠疫情严格防控措施解除:利用日本2021年至2022年免疫格局进行死亡率预测
Vaccine X. 2024 Aug 12;20:100547. doi: 10.1016/j.jvacx.2024.100547. eCollection 2024 Oct.
2
Folic acid supplementation and malaria susceptibility and severity among people taking antifolate antimalarial drugs in endemic areas.在流行地区,服用抗叶酸抗疟药物的人群中,叶酸补充剂与疟疾易感性和严重程度的关系。
Cochrane Database Syst Rev. 2022 Feb 1;2(2022):CD014217. doi: 10.1002/14651858.CD014217.
3
Estimation of disease burden and clinical severity of COVID-19 caused by Omicron BA.2 in Shanghai, February-June 2022.2022年2月至6月上海市奥密克戎BA.2毒株所致新冠病毒病的疾病负担及临床严重程度评估
medRxiv. 2022 Jul 12:2022.07.11.22277504. doi: 10.1101/2022.07.11.22277504.
4
Projecting the COVID-19 immune landscape in Japan in the presence of waning immunity and booster vaccination.预测日本在免疫效果减弱和加强针接种情况下的 COVID-19 免疫景观。
J Theor Biol. 2023 Feb 21;559:111384. doi: 10.1016/j.jtbi.2022.111384. Epub 2022 Dec 14.
5
Number of averted COVID-19 cases and deaths attributable to reduced risk in vaccinated individuals in Japan.日本因接种疫苗个体风险降低而避免的新冠病例数和死亡人数。
Lancet Reg Health West Pac. 2022 Nov;28:100571. doi: 10.1016/j.lanwpc.2022.100571. Epub 2022 Aug 11.
6
Impact and effectiveness of mRNA BNT162b2 vaccine against SARS-CoV-2 infections and COVID-19 cases, hospitalisations, and deaths following a nationwide vaccination campaign in Israel: an observational study using national surveillance data.以色列全国疫苗接种运动后,mRNA BNT162b2疫苗对SARS-CoV-2感染及COVID-19病例、住院和死亡的影响与效果:一项利用国家监测数据的观察性研究
Lancet. 2021 May 15;397(10287):1819-1829. doi: 10.1016/S0140-6736(21)00947-8. Epub 2021 May 5.
7
Study of efficacy and longevity of immune response to third and fourth doses of COVID-19 vaccines in patients with cancer: A single arm clinical trial.研究癌症患者接种第三和第四剂 COVID-19 疫苗的免疫反应效果和持久性:一项单臂临床试验。
Elife. 2023 Mar 28;12:e83694. doi: 10.7554/eLife.83694.
8
SARS-CoV-2 infection following booster vaccination: Illness and symptom profile in a prospective, observational community-based case-control study.接种加强针后感染 SARS-CoV-2:一项前瞻性、基于社区的病例对照研究中的疾病和症状特征。
J Infect. 2023 Dec;87(6):506-515. doi: 10.1016/j.jinf.2023.08.009. Epub 2023 Sep 28.
9
COVID-19 pandemic dynamics in India, the SARS-CoV-2 Delta variant, and implications for vaccination.印度的新冠疫情动态、严重急性呼吸综合征冠状病毒2(SARS-CoV-2)德尔塔变异株及其对疫苗接种的影响
medRxiv. 2021 Nov 22:2021.06.21.21259268. doi: 10.1101/2021.06.21.21259268.
10
The potential public health impact of the respiratory syncytial virus prefusion F protein vaccine in people aged ≥60 years in Japan: results of a Markov model analysis.呼吸道合胞病毒预融合 F 蛋白疫苗对日本≥60 岁人群的潜在公共卫生影响:一项马尔可夫模型分析的结果。
Expert Rev Vaccines. 2024 Jan-Dec;23(1):303-311. doi: 10.1080/14760584.2024.2323128. Epub 2024 Mar 1.

本文引用的文献

1
Evaluating the COVID-19 vaccination program in Japan, 2021 using the counterfactual reproduction number.利用反事实繁殖数评估 2021 年日本的 COVID-19 疫苗接种计划。
Sci Rep. 2023 Oct 18;13(1):17762. doi: 10.1038/s41598-023-44942-6.
2
Estimating infection fatality risk and ascertainment bias of COVID-19 in Osaka, Japan from February 2020 to January 2022.估算 2020 年 2 月至 2022 年 1 月日本大阪地区 COVID-19 的感染病死率和检出偏倚。
Sci Rep. 2023 Apr 4;13(1):5540. doi: 10.1038/s41598-023-32639-9.
3
Protection against SARS-CoV-2 BA.4 and BA.5 subvariants via vaccination and natural infection: A modeling study.
通过接种疫苗和自然感染预防 SARS-CoV-2 BA.4 和 BA.5 亚变体:一项建模研究。
Math Biosci Eng. 2023 Jan;20(2):2530-2543. doi: 10.3934/mbe.2023118. Epub 2022 Nov 24.
4
Projecting the COVID-19 immune landscape in Japan in the presence of waning immunity and booster vaccination.预测日本在免疫效果减弱和加强针接种情况下的 COVID-19 免疫景观。
J Theor Biol. 2023 Feb 21;559:111384. doi: 10.1016/j.jtbi.2022.111384. Epub 2022 Dec 14.
5
Time-dependent risk of COVID-19 death with overwhelmed health-care capacity in Japan, 2020-2022.2020-2022 年日本医疗资源超负荷情况下 COVID-19 死亡的时间依赖性风险。
BMC Infect Dis. 2022 Dec 12;22(1):933. doi: 10.1186/s12879-022-07929-8.
6
Number of averted COVID-19 cases and deaths attributable to reduced risk in vaccinated individuals in Japan.日本因接种疫苗个体风险降低而避免的新冠病例数和死亡人数。
Lancet Reg Health West Pac. 2022 Nov;28:100571. doi: 10.1016/j.lanwpc.2022.100571. Epub 2022 Aug 11.
7
Emergence of SARS-CoV-2 Omicron lineages BA.4 and BA.5 in South Africa.南非出现 SARS-CoV-2 奥密克戎变异株 BA.4 和 BA.5。
Nat Med. 2022 Sep;28(9):1785-1790. doi: 10.1038/s41591-022-01911-2. Epub 2022 Jun 27.
8
Global impact of the first year of COVID-19 vaccination: a mathematical modelling study.全球首例 COVID-19 疫苗接种一年的影响:一项数学建模研究。
Lancet Infect Dis. 2022 Sep;22(9):1293-1302. doi: 10.1016/S1473-3099(22)00320-6. Epub 2022 Jun 23.
9
Neutralization Escape by SARS-CoV-2 Omicron Subvariants BA.2.12.1, BA.4, and BA.5.严重急性呼吸综合征冠状病毒2型奥密克戎亚变体BA.2.12.1、BA.4和BA.5的中和逃逸
N Engl J Med. 2022 Jul 7;387(1):86-88. doi: 10.1056/NEJMc2206576. Epub 2022 Jun 22.
10
BA.2.12.1, BA.4 and BA.5 escape antibodies elicited by Omicron infection.BA.2.12.1、BA.4 和 BA.5 逃避奥密克戎感染诱导的抗体。
Nature. 2022 Aug;608(7923):593-602. doi: 10.1038/s41586-022-04980-y. Epub 2022 Jun 17.