社会分化和对风险的认识导致了不同的流行病和后来的大规模浪潮。

IF 2.2 Q1 ANTHROPOLOGY Evolutionary Human Sciences Pub Date : 2023-01-01 DOI:10.1017/ehs.2023.2
Mallory J Harris, Kimberly J Cardenas, Erin A Mordecai
{"title":"社会分化和对风险的认识导致了不同的流行病和后来的大规模浪潮。","authors":"Mallory J Harris,&nbsp;Kimberly J Cardenas,&nbsp;Erin A Mordecai","doi":"10.1017/ehs.2023.2","DOIUrl":null,"url":null,"abstract":"<p><p>During infectious disease outbreaks, individuals may adopt protective measures like vaccination and physical distancing in response to awareness of disease burden. Prior work showed how feedbacks between epidemic intensity and awareness-based behaviour shape disease dynamics. These models often overlook social divisions, where population subgroups may be disproportionately impacted by a disease and more responsive to the effects of disease within their group. We develop a compartmental model of disease transmission and awareness-based protective behaviour in a population split into two groups to explore the impacts of awareness separation (relatively greater in- vs. out-group awareness of epidemic severity) and mixing separation (relatively greater in- vs. out-group contact rates). Using simulations, we show that groups that are more separated in awareness have smaller differences in mortality. Fatigue (i.e. abandonment of protective measures over time) can drive additional infection waves that can even exceed the size of the initial wave, particularly if uniform awareness drives early protection in one group, leaving that group largely susceptible to future infection. Counterintuitively, vaccine or infection-acquired immunity that is more protective against transmission and mortality may indirectly lead to more infections by reducing perceived risk of infection and therefore vaccine uptake. Awareness-based protective behaviour, including awareness separation, can fundamentally alter disease dynamics. <b>Social media summary:</b> Depending on group division, behaviour based on perceived risk can change epidemic dynamics & produce large later waves.</p>","PeriodicalId":36414,"journal":{"name":"Evolutionary Human Sciences","volume":"5 ","pages":"e8"},"PeriodicalIF":2.2000,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10426078/pdf/","citationCount":"2","resultStr":"{\"title\":\"Social divisions and risk perception drive divergent epidemics and large later waves.\",\"authors\":\"Mallory J Harris,&nbsp;Kimberly J Cardenas,&nbsp;Erin A Mordecai\",\"doi\":\"10.1017/ehs.2023.2\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>During infectious disease outbreaks, individuals may adopt protective measures like vaccination and physical distancing in response to awareness of disease burden. Prior work showed how feedbacks between epidemic intensity and awareness-based behaviour shape disease dynamics. These models often overlook social divisions, where population subgroups may be disproportionately impacted by a disease and more responsive to the effects of disease within their group. We develop a compartmental model of disease transmission and awareness-based protective behaviour in a population split into two groups to explore the impacts of awareness separation (relatively greater in- vs. out-group awareness of epidemic severity) and mixing separation (relatively greater in- vs. out-group contact rates). Using simulations, we show that groups that are more separated in awareness have smaller differences in mortality. Fatigue (i.e. abandonment of protective measures over time) can drive additional infection waves that can even exceed the size of the initial wave, particularly if uniform awareness drives early protection in one group, leaving that group largely susceptible to future infection. Counterintuitively, vaccine or infection-acquired immunity that is more protective against transmission and mortality may indirectly lead to more infections by reducing perceived risk of infection and therefore vaccine uptake. Awareness-based protective behaviour, including awareness separation, can fundamentally alter disease dynamics. <b>Social media summary:</b> Depending on group division, behaviour based on perceived risk can change epidemic dynamics & produce large later waves.</p>\",\"PeriodicalId\":36414,\"journal\":{\"name\":\"Evolutionary Human Sciences\",\"volume\":\"5 \",\"pages\":\"e8\"},\"PeriodicalIF\":2.2000,\"publicationDate\":\"2023-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10426078/pdf/\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Evolutionary Human Sciences\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1017/ehs.2023.2\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ANTHROPOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Evolutionary Human Sciences","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1017/ehs.2023.2","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ANTHROPOLOGY","Score":null,"Total":0}
引用次数: 2

摘要

在传染病暴发期间,个人可采取保护措施,如接种疫苗和保持身体距离,以应对疾病负担意识。先前的工作显示了流行病强度和基于意识的行为之间的反馈如何形成疾病动态。这些模型往往忽略了社会划分,在社会划分中,人口亚群体可能不成比例地受到某种疾病的影响,对其群体内疾病的影响反应更灵敏。我们在被分成两组的人群中建立了疾病传播和基于意识的保护行为的区隔模型,以探索意识分离(对流行病严重程度的群体内外意识相对较高)和混合分离(群体内外接触率相对较高)的影响。通过模拟,我们发现在意识上越分离的群体在死亡率上的差异越小。疲劳(即随着时间的推移放弃保护措施)可能引发更多的感染波,甚至可能超过最初的感染波的规模,特别是如果统一的意识促使一个群体早期采取保护措施,使该群体在很大程度上容易受到未来的感染。与直觉相反的是,疫苗或感染获得性免疫对传播和死亡的保护作用更强,可能会通过降低感知感染风险从而降低疫苗摄取,从而间接导致更多感染。基于意识的保护行为,包括意识分离,可以从根本上改变疾病动态。社交媒体摘要:根据群体划分,基于感知风险的行为可以改变流行病动态并产生大规模的后续浪潮。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

摘要图片

摘要图片

摘要图片

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Social divisions and risk perception drive divergent epidemics and large later waves.

During infectious disease outbreaks, individuals may adopt protective measures like vaccination and physical distancing in response to awareness of disease burden. Prior work showed how feedbacks between epidemic intensity and awareness-based behaviour shape disease dynamics. These models often overlook social divisions, where population subgroups may be disproportionately impacted by a disease and more responsive to the effects of disease within their group. We develop a compartmental model of disease transmission and awareness-based protective behaviour in a population split into two groups to explore the impacts of awareness separation (relatively greater in- vs. out-group awareness of epidemic severity) and mixing separation (relatively greater in- vs. out-group contact rates). Using simulations, we show that groups that are more separated in awareness have smaller differences in mortality. Fatigue (i.e. abandonment of protective measures over time) can drive additional infection waves that can even exceed the size of the initial wave, particularly if uniform awareness drives early protection in one group, leaving that group largely susceptible to future infection. Counterintuitively, vaccine or infection-acquired immunity that is more protective against transmission and mortality may indirectly lead to more infections by reducing perceived risk of infection and therefore vaccine uptake. Awareness-based protective behaviour, including awareness separation, can fundamentally alter disease dynamics. Social media summary: Depending on group division, behaviour based on perceived risk can change epidemic dynamics & produce large later waves.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Evolutionary Human Sciences
Evolutionary Human Sciences Social Sciences-Cultural Studies
CiteScore
4.60
自引率
11.50%
发文量
49
审稿时长
10 weeks
期刊最新文献
Coevolution of norm psychology and cooperation through exapted conformity. Salience of infectious diseases did not increase xenophobia during the COVID-19 pandemic. Testing the expensive-tissue hypothesis' prediction of inter-tissue competition using causal modelling with latent variables. Kin selection as a modulator of human handedness: sex-specific, parental and parent-of-origin effects. The role of mating effort and co-residence history in step-grandparental investment.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1