• 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

不同疾病传播风险感知下保护行为的出现。

Emergence of protective behaviour under different risk perceptions to disease spreading.

机构信息

Physics Department, Institute for Advanced Studies in Basic Sciences, Zanjan 45137-66731, Iran.

Departament d'Enginyeria Informática i Matemátiques, Universitat Rovira i Virgili, Tarragona 430007, Spain.

出版信息

Philos Trans A Math Phys Eng Sci. 2022 Jul 11;380(2227):20200412. doi: 10.1098/rsta.2020.0412. Epub 2022 May 23.

DOI:10.1098/rsta.2020.0412
PMID:35599564
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9125227/
Abstract

The behaviour of individuals is a main actor in the control of the spread of a communicable disease and, in turn, the spread of an infectious disease can trigger behavioural changes in a population. Here, we study the emergence of individuals' protective behaviours in response to the spread of a disease by considering two different social attitudes within the same population: concerned and risky. Generally speaking, concerned individuals have a larger risk aversion than risky individuals. To study the emergence of protective behaviours, we couple, to the epidemic evolution of a susceptible-infected-susceptible model, a decision game based on the perceived risk of infection. Using this framework, we find the effect of the protection strategy on the epidemic threshold for each of the two subpopulations (concerned and risky), and study under which conditions risky individuals are persuaded to protect themselves or, on the contrary, can take advantage of a herd immunity by remaining healthy without protecting themselves, thanks to the shield provided by concerned individuals. This article is part of the theme issue 'Emergent phenomena in complex physical and socio-technical systems: from cells to societies'.

摘要

个体行为是控制传染病传播的主要因素,而传染病的传播又会引发人群行为的变化。在这里,我们通过在同一人群中考虑两种不同的社会态度(关注和冒险)来研究个体为应对疾病传播而采取保护行为的出现。一般来说,关注个体比冒险个体的风险规避程度更大。为了研究保护行为的出现,我们将易感染-感染-易感染模型的传染病演化与基于感染风险感知的决策游戏相结合。使用这个框架,我们发现了保护策略对两个亚群体(关注和冒险)的传染病阈值的影响,并研究了在哪些条件下,冒险个体可以保护自己,或者相反,他们可以通过保持健康而不保护自己,利用关注个体提供的群体免疫力来获利。本文是“复杂物理和社会技术系统中的涌现现象:从细胞到社会”主题的一部分。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4a1e/9125227/4286b088ba04/rsta20200412f09.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4a1e/9125227/3ea7eee9bc6f/rsta20200412f01.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4a1e/9125227/5d154f865e81/rsta20200412f02.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4a1e/9125227/352cbfadfcde/rsta20200412f03.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4a1e/9125227/631259e2409d/rsta20200412f04.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4a1e/9125227/c7d6113a1f00/rsta20200412f05.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4a1e/9125227/552ef16a690b/rsta20200412f06.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4a1e/9125227/4d2045dff48c/rsta20200412f07.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4a1e/9125227/ea72ffb6862e/rsta20200412f08.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4a1e/9125227/4286b088ba04/rsta20200412f09.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4a1e/9125227/3ea7eee9bc6f/rsta20200412f01.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4a1e/9125227/5d154f865e81/rsta20200412f02.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4a1e/9125227/352cbfadfcde/rsta20200412f03.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4a1e/9125227/631259e2409d/rsta20200412f04.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4a1e/9125227/c7d6113a1f00/rsta20200412f05.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4a1e/9125227/552ef16a690b/rsta20200412f06.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4a1e/9125227/4d2045dff48c/rsta20200412f07.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4a1e/9125227/ea72ffb6862e/rsta20200412f08.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4a1e/9125227/4286b088ba04/rsta20200412f09.jpg

相似文献

1
Emergence of protective behaviour under different risk perceptions to disease spreading.不同疾病传播风险感知下保护行为的出现。
Philos Trans A Math Phys Eng Sci. 2022 Jul 11;380(2227):20200412. doi: 10.1098/rsta.2020.0412. Epub 2022 May 23.
2
Disease dynamics in a stochastic network game: a little empathy goes a long way in averting outbreaks.随机网络博弈中的疾病动态:多一点同理心可大大避免疫情爆发。
Sci Rep. 2017 Mar 14;7:44122. doi: 10.1038/srep44122.
3
From the origin of life to pandemics: emergent phenomena in complex systems.从生命起源到大流行:复杂系统中的突发现象。
Philos Trans A Math Phys Eng Sci. 2022 Jul 11;380(2227):20200410. doi: 10.1098/rsta.2020.0410. Epub 2022 May 23.
4
Prevention of infectious diseases by public vaccination and individual protection.通过公共疫苗接种和个人防护预防传染病。
J Math Biol. 2016 Dec;73(6-7):1561-1594. doi: 10.1007/s00285-016-1007-3. Epub 2016 Apr 15.
5
Understanding health behaviour changes in response to outbreaks: Findings from a longitudinal study of a large epidemic of mosquito-borne disease.了解对疫情爆发的健康行为变化:一项大规模蚊媒传染病纵向研究的结果。
Soc Sci Med. 2019 Jun;230:184-193. doi: 10.1016/j.socscimed.2019.04.009. Epub 2019 Apr 11.
6
Herd Behaviors in Epidemics: A Dynamics-Coupled Evolutionary Games Approach.传染病中的群体行为:一种动力学耦合进化博弈方法。
Dyn Games Appl. 2022;12(1):183-213. doi: 10.1007/s13235-022-00433-3. Epub 2022 Mar 5.
7
Epidemic spreading on multilayer homogeneous evolving networks.多层均匀演化网络上的流行病传播。
Chaos. 2019 Oct;29(10):103146. doi: 10.1063/1.5108951.
8
Herd immunity.群体免疫。
Curr Biol. 2021 Feb 22;31(4):R174-R177. doi: 10.1016/j.cub.2021.01.006. Epub 2021 Jan 12.
9
Spontaneous social distancing in response to a simulated epidemic: a virtual experiment.针对模拟疫情的自发社交距离保持:一项虚拟实验。
BMC Public Health. 2015 Sep 28;15:973. doi: 10.1186/s12889-015-2336-7.
10
Individual preventive social distancing during an epidemic may have negative population-level outcomes.在传染病流行期间,个体预防社交隔离可能会对人群层面产生负面影响。
J R Soc Interface. 2018 Aug;15(145). doi: 10.1098/rsif.2018.0296.

引用本文的文献

1
One pathogen does not an epidemic make: a review of interacting contagions, diseases, beliefs, and stories.一种病原体并不构成一场流行病:对相互作用的传染病、疾病、观念及故事的综述
Npj Complex. 2025;2(1):26. doi: 10.1038/s44260-025-00050-2. Epub 2025 Sep 1.
2
From the origin of life to pandemics: emergent phenomena in complex systems.从生命起源到大流行:复杂系统中的突发现象。
Philos Trans A Math Phys Eng Sci. 2022 Jul 11;380(2227):20200410. doi: 10.1098/rsta.2020.0410. Epub 2022 May 23.

本文引用的文献

1
Behavioural response to heterogeneous severity of COVID-19 explains temporal variation of cases among different age groups.行为反应对 COVID-19 的异质严重程度解释了不同年龄组病例的时间变化。
Philos Trans A Math Phys Eng Sci. 2022 Jan 10;380(2214):20210119. doi: 10.1098/rsta.2021.0119. Epub 2021 Nov 22.
2
An epidemiological model with voluntary quarantine strategies governed by evolutionary game dynamics.一种具有由进化博弈动力学控制的自愿隔离策略的流行病学模型。
Chaos Solitons Fractals. 2021 Feb;143:110616. doi: 10.1016/j.chaos.2020.110616. Epub 2021 Jan 7.
3
Endogenous social distancing and its underappreciated impact on the epidemic curve.
内源性社交隔离及其对疫情曲线的被低估影响。
Sci Rep. 2021 Feb 4;11(1):3093. doi: 10.1038/s41598-021-82770-8.
4
Co-evolution spreading of multiple information and epidemics on two-layered networks under the influence of mass media.大众媒体影响下双层网络上多信息与流行病的协同进化传播
Nonlinear Dyn. 2020;102(4):3039-3052. doi: 10.1007/s11071-020-06021-7. Epub 2020 Nov 2.
5
Competition between vaccination and disease spreading.疫苗接种与疾病传播的竞争。
Phys Rev E. 2020 Jun;101(6-1):062306. doi: 10.1103/PhysRevE.101.062306.
6
Using social and behavioural science to support COVID-19 pandemic response.利用社会和行为科学来支持 COVID-19 大流行应对。
Nat Hum Behav. 2020 May;4(5):460-471. doi: 10.1038/s41562-020-0884-z. Epub 2020 Apr 30.
7
Game theoretic modelling of infectious disease dynamics and intervention methods: a review.传染病动力学和干预方法的博弈论建模:综述。
J Biol Dyn. 2020 Dec;14(1):57-89. doi: 10.1080/17513758.2020.1720322. Epub 2020 Jan 29.
8
Imperfect vaccine and hysteresis.不完美疫苗和滞后现象。
Proc Biol Sci. 2019 Jan 16;286(1894):20182406. doi: 10.1098/rspb.2018.2406.
9
Interplay between cost and benefits triggers nontrivial vaccination uptake.成本与收益之间的相互作用引发了显著的疫苗接种率。
Phys Rev E. 2018 Mar;97(3-1):032308. doi: 10.1103/PhysRevE.97.032308.
10
Behavioural change models for infectious disease transmission: a systematic review (2010-2015).传染病传播的行为改变模型:一项系统综述(2010 - 2015年)
J R Soc Interface. 2016 Dec;13(125). doi: 10.1098/rsif.2016.0820.