• 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

个体在 COVID-19 疫情期间反应的演变及其后果。

Evolution and consequences of individual responses during the COVID-19 outbreak.

机构信息

Department of Mathematics, Pusan National University, Busan, Korea.

Natural Product Informatics Research Center, Korea Institute of Science and Technology, Seoul, Gangneung, South Korea.

出版信息

PLoS One. 2022 Sep 1;17(9):e0273964. doi: 10.1371/journal.pone.0273964. eCollection 2022.

DOI:10.1371/journal.pone.0273964
PMID:36048847
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9436131/
Abstract

In a long-lasting major disease outbreak such as that of COVID-19, the challenge for public health authorities is to keep people motivated and keen on following safety guidelines. In this study, a compartmental model with a heterogeneous transmission rate (based on awareness) is utilized to hypothesize about the public adoption of preventive guidelines. Three subsequent outbreaks in South Korea, Pakistan, and Japan were analyzed as case studies. The transmission, behavior change, and behavioral change ease rates of the disease were measured in these countries. The parameters were estimated using the maximum likelihood method with an additional identifiability analysis performed to determine the uniqueness of the estimated parameters for quantitatively comparing them during the first three waves of COVID-19. The mathematical analysis and simulation results show that individual responses had a significant effect on the outbreak. Individuals declining to follow the public health guidelines in Korea and Japan between the second and third waves contributed to making the third peak the highest of the three peaks. In Pakistan, however, individual responses to following public health guidelines were maintained between the second and third waves, resulting in the third peak being lower than the first, rather than being associated with the highest transmission rate. Thus, maintaining a high level of awareness is critical for containing the spread. Improvised public health campaigns are recommended to sustain individual attention and maintain a high level of awareness.

摘要

在 COVID-19 等长期重大疾病爆发期间,公共卫生当局面临的挑战是保持人们的积极性并热衷于遵循安全指南。在这项研究中,利用具有异质传播率(基于意识)的隔室模型来假设公众对预防指南的采用。对韩国、巴基斯坦和日本的随后三次爆发进行了案例分析。测量了这些国家的疾病传播、行为改变和行为改变缓解率。使用最大似然法估计参数,并进行了额外的可识别性分析,以确定估计参数的唯一性,以便在 COVID-19 的前三个波次中对其进行定量比较。数学分析和模拟结果表明,个体反应对疫情爆发有重大影响。韩国和日本的个人在第二波和第三波之间拒绝遵守公共卫生指南,导致第三波成为三个波次中的最高波次。然而,在巴基斯坦,个人在第二波和第三波之间遵守公共卫生指南的反应得以维持,导致第三波的峰值低于第一波,而不是与最高传播率相关。因此,保持高度的意识对于控制传播至关重要。建议开展即兴公共卫生运动,以保持个人关注并维持高度的意识。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a51e/9436131/dd495998bd6d/pone.0273964.g012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a51e/9436131/f8a0c424c99b/pone.0273964.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a51e/9436131/7180b36d1769/pone.0273964.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a51e/9436131/5febe84c44e0/pone.0273964.g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a51e/9436131/f6032faa8eb3/pone.0273964.g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a51e/9436131/a6eb596c34fd/pone.0273964.g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a51e/9436131/34ad6c3f1b73/pone.0273964.g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a51e/9436131/b2c9d1c68a4e/pone.0273964.g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a51e/9436131/9da30a430e85/pone.0273964.g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a51e/9436131/285ac29076d0/pone.0273964.g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a51e/9436131/53b91ade0d66/pone.0273964.g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a51e/9436131/cc0a84728190/pone.0273964.g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a51e/9436131/dd495998bd6d/pone.0273964.g012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a51e/9436131/f8a0c424c99b/pone.0273964.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a51e/9436131/7180b36d1769/pone.0273964.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a51e/9436131/5febe84c44e0/pone.0273964.g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a51e/9436131/f6032faa8eb3/pone.0273964.g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a51e/9436131/a6eb596c34fd/pone.0273964.g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a51e/9436131/34ad6c3f1b73/pone.0273964.g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a51e/9436131/b2c9d1c68a4e/pone.0273964.g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a51e/9436131/9da30a430e85/pone.0273964.g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a51e/9436131/285ac29076d0/pone.0273964.g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a51e/9436131/53b91ade0d66/pone.0273964.g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a51e/9436131/cc0a84728190/pone.0273964.g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a51e/9436131/dd495998bd6d/pone.0273964.g012.jpg

相似文献

1
Evolution and consequences of individual responses during the COVID-19 outbreak.个体在 COVID-19 疫情期间反应的演变及其后果。
PLoS One. 2022 Sep 1;17(9):e0273964. doi: 10.1371/journal.pone.0273964. eCollection 2022.
2
Estimating the reproductive number and the outbreak size of COVID-19 in Korea.估算韩国 COVID-19 的繁殖数和疫情规模。
Epidemiol Health. 2020;42:e2020011. doi: 10.4178/epih.e2020011. Epub 2020 Mar 12.
3
Flattening the Curve on COVID-19: South Korea's Measures in Tackling Initial Outbreak of Coronavirus.新冠肺炎疫情曲线趋平:韩国应对冠状病毒初始爆发的措施。
Am J Epidemiol. 2021 Apr 6;190(4):496-505. doi: 10.1093/aje/kwaa217.
4
Comparison of the second and third waves of the COVID-19 pandemic in South Korea: Importance of early public health intervention.韩国 COVID-19 疫情第二波和第三波的比较:早期公共卫生干预的重要性。
Int J Infect Dis. 2021 Mar;104:742-745. doi: 10.1016/j.ijid.2021.02.004. Epub 2021 Feb 5.
5
Conversations and Medical News Frames on Twitter: Infodemiological Study on COVID-19 in South Korea.推特上的对话与医学新闻框架:韩国新冠肺炎信息流行病学研究
J Med Internet Res. 2020 May 5;22(5):e18897. doi: 10.2196/18897.
6
The impact of social distancing and public behavior changes on COVID-19 transmission dynamics in the Republic of Korea.社交距离和公众行为改变对韩国 COVID-19 传播动力学的影响。
PLoS One. 2020 Sep 24;15(9):e0238684. doi: 10.1371/journal.pone.0238684. eCollection 2020.
7
Response to COVID-19 in South Korea and implications for lifting stringent interventions.韩国对 COVID-19 的应对措施及放宽严格干预措施的影响。
BMC Med. 2020 Oct 9;18(1):321. doi: 10.1186/s12916-020-01791-8.
8
Transmission dynamics and control of two epidemic waves of SARS-CoV-2 in South Korea.韩国两波 SARS-CoV-2 疫情的传播动态和控制。
BMC Infect Dis. 2021 May 26;21(1):485. doi: 10.1186/s12879-021-06204-6.
9
Knowledge, awareness and practices of Pakistani professionals amid-COVID-19 outbreak.巴基斯坦专业人士在 COVID-19 疫情期间的知识、意识和实践。
Sci Rep. 2021 Sep 2;11(1):17543. doi: 10.1038/s41598-021-96705-w.
10
The Interplay Between Policy and COVID-19 Outbreaks in South Asia: Longitudinal Trend Analysis of Surveillance Data.南亚政策与新冠疫情爆发的相互作用:监测数据的纵向趋势分析。
JMIR Public Health Surveill. 2021 Jun 17;7(6):e24251. doi: 10.2196/24251.

引用本文的文献

1
Population-Level SARS-CoV-2 RT-PCR Cycle Threshold Values and Their Relationships with COVID-19 Transmission and Outcome Metrics: A Time Series Analysis Across Pandemic Years.人群层面的新冠病毒逆转录聚合酶链反应循环阈值及其与新冠肺炎传播和结局指标的关系:跨大流行年份的时间序列分析
Viruses. 2025 Jan 14;17(1):103. doi: 10.3390/v17010103.
2
Correction: Evolution and consequences of individual responses during the COVID-19 outbreak.更正:新冠疫情期间个体反应的演变及其后果
PLoS One. 2023 Oct 5;18(10):e0292775. doi: 10.1371/journal.pone.0292775. eCollection 2023.

本文引用的文献

1
Untangling the changing impact of non-pharmaceutical interventions and vaccination on European COVID-19 trajectories.厘清非药物干预措施和疫苗接种对欧洲 COVID-19 传播轨迹的变化影响。
Nat Commun. 2022 Jun 3;13(1):3106. doi: 10.1038/s41467-022-30897-1.
2
Equivalency of Protection From Natural Immunity in COVID-19 Recovered Versus Fully Vaccinated Persons: A Systematic Review and Pooled Analysis.新冠康复者与完全接种疫苗者自然免疫的保护等效性:一项系统评价与汇总分析
Cureus. 2021 Oct 28;13(10):e19102. doi: 10.7759/cureus.19102. eCollection 2021 Oct.
3
How Important Is Behavioral Change during the Early Stages of the COVID-19 Pandemic? A Mathematical Modeling Study.
新冠疫情早期阶段行为改变的重要性如何?一项数学建模研究。
Int J Environ Res Public Health. 2021 Sep 18;18(18):9855. doi: 10.3390/ijerph18189855.
4
A model and predictions for COVID-19 considering population behavior and vaccination.考虑人口行为和疫苗接种的 COVID-19 模型和预测。
Sci Rep. 2021 Jun 8;11(1):12051. doi: 10.1038/s41598-021-91514-7.
5
Comparing infectivity and virulence of emerging SARS-CoV-2 variants in Syrian hamsters.比较新型严重急性呼吸综合征冠状病毒2(SARS-CoV-2)变种在叙利亚仓鼠中的传染性和毒力。
EBioMedicine. 2021 Jun;68:103403. doi: 10.1016/j.ebiom.2021.103403. Epub 2021 May 25.
6
The emergence of new strains of SARS-CoV-2. What does it mean for COVID-19 vaccines?新型严重急性呼吸综合征冠状病毒2(SARS-CoV-2)毒株的出现。这对2019冠状病毒病(COVID-19)疫苗意味着什么?
Expert Rev Vaccines. 2021 Jun;20(6):635-638. doi: 10.1080/14760584.2021.1915140. Epub 2021 Apr 25.
7
Behavioral Changes After the COVID-19 Lockdown in Italy.意大利新冠疫情封锁后的行为变化
Front Psychol. 2021 Mar 10;12:617315. doi: 10.3389/fpsyg.2021.617315. eCollection 2021.
8
Inherently high uncertainty in predicting the time evolution of epidemics.预测传染病的时间演变具有固有高度的不确定性。
Epidemiol Health. 2021;43:e2021014. doi: 10.4178/epih.e2021014. Epub 2021 Feb 8.
9
A dynamical framework for modeling fear of infection and frustration with social distancing in COVID-19 spread.用于建模 COVID-19 传播中对感染的恐惧和对社交距离的挫折感的动力学框架。
Math Biosci Eng. 2020 Nov 10;17(6):7892-7915. doi: 10.3934/mbe.2020401.
10
Determinants of Preventive Behaviors in Response to the COVID-19 Pandemic in France: Comparing the Sociocultural, Psychosocial, and Social Cognitive Explanations.法国应对新冠疫情的预防行为决定因素:比较社会文化、心理社会和社会认知解释
Front Psychol. 2020 Nov 30;11:584500. doi: 10.3389/fpsyg.2020.584500. eCollection 2020.