• 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

传染病在通往栖息地热点的途中传播。

Transmission of infectious diseases en route to habitat hotspots.

机构信息

CNRS-Institut des Sciences de l'Evolution de Montpellier, Université de Montpellier II, Montpellier, France.

出版信息

PLoS One. 2012;7(2):e31290. doi: 10.1371/journal.pone.0031290. Epub 2012 Feb 20.

DOI:10.1371/journal.pone.0031290
PMID:22363606
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3282722/
Abstract

BACKGROUND

The spread of infectious diseases in wildlife populations is influenced by patterns of between-host contacts. Habitat "hotspots"--places attracting a large numbers of individuals or social groups--can significantly alter contact patterns and, hence, disease propagation. Research on the importance of habitat hotspots in wildlife epidemiology has primarily focused on how inter-individual contacts occurring at the hotspot itself increase disease transmission. However, in territorial animals, epidemiologically important contacts may primarily occur as animals cross through territories of conspecifics en route to habitat hotspots. So far, the phenomenon has received little attention. Here, we investigate the importance of these contacts in the case where infectious individuals keep visiting the hotspots and in the case where these individuals are not able to travel to the hotspot any more.

METHODOLOGY AND PRINCIPAL FINDINGS

We developed a simulation epidemiological model to investigate both cases in a scenario when transmission at the hotspot does not occur. We find that (i) hotspots still exacerbate epidemics, (ii) when infectious individuals do not travel to the hotspot, the most vulnerable individuals are those residing at intermediate distances from the hotspot rather than nearby, and (iii) the epidemiological vulnerability of a population is the highest when the number of hotspots is intermediate.

CONCLUSIONS AND SIGNIFICANCE

By altering animal movements in their vicinity, habitat hotspots can thus strongly increase the spread of infectious diseases, even when disease transmission does not occur at the hotspot itself. Interestingly, when animals only visit the nearest hotspot, creating additional artificial hotspots, rather than reducing their number, may be an efficient disease control measure.

摘要

背景

野生动物种群中传染病的传播受到宿主间接触模式的影响。“热点栖息地”——吸引大量个体或社会群体的地方——可以显著改变接触模式,从而影响疾病的传播。关于热点栖息地在野生动物流行病学中的重要性的研究主要集中在热点本身发生的个体间接触如何增加疾病传播。然而,在有领地的动物中,具有流行病学意义的接触主要发生在动物穿越同种个体的领地前往热点栖息地的过程中。到目前为止,这一现象还没有得到太多关注。在这里,我们研究了在感染个体继续访问热点的情况下以及这些个体无法再前往热点的情况下,这些接触的重要性。

方法和主要发现

我们开发了一个模拟流行病学模型,在热点处不发生传播的情况下,研究了这两种情况。我们发现:(i)热点仍然会加剧疫情;(ii)当感染个体不再前往热点时,最脆弱的个体是那些居住在离热点中等距离而不是附近的个体;(iii)当热点数量中等时,种群的流行病学脆弱性最高。

结论和意义

通过改变其附近动物的运动,热点栖息地可以强烈地增加传染病的传播,即使疾病本身不在热点处传播。有趣的是,当动物只访问最近的热点,而不是减少它们的数量,创建额外的人工热点可能是一种有效的疾病控制措施。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e23b/3282722/8c57a5bebb6d/pone.0031290.g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e23b/3282722/98fb9c6a2203/pone.0031290.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e23b/3282722/3e10f5ac584d/pone.0031290.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e23b/3282722/eaad778bdaeb/pone.0031290.g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e23b/3282722/04331d18ffde/pone.0031290.g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e23b/3282722/8c57a5bebb6d/pone.0031290.g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e23b/3282722/98fb9c6a2203/pone.0031290.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e23b/3282722/3e10f5ac584d/pone.0031290.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e23b/3282722/eaad778bdaeb/pone.0031290.g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e23b/3282722/04331d18ffde/pone.0031290.g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e23b/3282722/8c57a5bebb6d/pone.0031290.g005.jpg

相似文献

1
Transmission of infectious diseases en route to habitat hotspots.传染病在通往栖息地热点的途中传播。
PLoS One. 2012;7(2):e31290. doi: 10.1371/journal.pone.0031290. Epub 2012 Feb 20.
2
What is a Hotspot Anyway?到底什么是热点?
Am J Trop Med Hyg. 2017 Jun;96(6):1270-1273. doi: 10.4269/ajtmh.16-0427.
3
The Impact of Hotspot-Targeted Interventions on Malaria Transmission in Rachuonyo South District in the Western Kenyan Highlands: A Cluster-Randomized Controlled Trial.热点靶向干预措施对肯尼亚西部高地拉乔尼奥南区疟疾传播的影响:一项整群随机对照试验
PLoS Med. 2016 Apr 12;13(4):e1001993. doi: 10.1371/journal.pmed.1001993. eCollection 2016 Apr.
4
Increased infection severity in downstream cities in infectious disease transmission and tourists surveillance analysis.传染病传播和游客监测分析中下游城市感染严重程度增加。
J Theor Biol. 2019 Jun 7;470:20-29. doi: 10.1016/j.jtbi.2019.03.004. Epub 2019 Mar 6.
5
Predicting epidemics on directed contact networks.预测有向接触网络上的流行病。
J Theor Biol. 2006 Jun 7;240(3):400-18. doi: 10.1016/j.jtbi.2005.10.004. Epub 2005 Nov 21.
6
[Impact of changes in the environment on vector-transmitted diseases].[环境变化对媒介传播疾病的影响]
Sante. 1997 Jul-Aug;7(4):263-9.
7
Reactive vaccination in the presence of disease hotspots.在疾病热点地区进行反应性疫苗接种。
Proc Biol Sci. 2015 Jan 7;282(1798):20141341. doi: 10.1098/rspb.2014.1341.
8
Understanding the spread of infectious diseases in edge areas of hotspots: dengue epidemics in tropical metropolitan regions.理解热点边缘地区传染病的传播:热带大都市地区的登革热疫情。
Int J Health Geogr. 2023 Dec 10;22(1):36. doi: 10.1186/s12942-023-00355-2.
9
Revealing mechanisms of infectious disease spread through empirical contact networks.通过经验性接触网络揭示传染病传播的机制。
PLoS Comput Biol. 2021 Dec 20;17(12):e1009604. doi: 10.1371/journal.pcbi.1009604. eCollection 2021 Dec.
10
Heterogeneity in tuberculosis transmission and the role of geographic hotspots in propagating epidemics.结核病传播的异质性和地理热点在传播疫情中的作用。
Proc Natl Acad Sci U S A. 2012 Jun 12;109(24):9557-62. doi: 10.1073/pnas.1203517109. Epub 2012 May 29.

引用本文的文献

1
Bactericidal, Virucidal, and Biocompatible Properties of 3D Printed Materials Enhanced with Copper and Zinc Nanoparticles.用铜和锌纳米颗粒增强的3D打印材料的杀菌、杀病毒和生物相容性特性
Glob Chall. 2025 Jun 16;9(8):e00106. doi: 10.1002/gch2.202500106. eCollection 2025 Aug.
2
Dispersal dynamics of white-tailed deer in human-altered landscapes and implications for disease risk.白尾鹿在人类改变的景观中的扩散动态及其对疾病风险的影响。
PLoS One. 2025 Jun 10;20(6):e0325656. doi: 10.1371/journal.pone.0325656. eCollection 2025.
3
Artificial Attractants: Implications for Disease Management in Deer.

本文引用的文献

1
Super-spreaders and the rate of transmission of the SARS virus.超级传播者与非典病毒的传播率
Physica D. 2006 Mar 15;215(2):146-158. doi: 10.1016/j.physd.2006.01.021. Epub 2006 Mar 10.
2
Serial intervals and the temporal distribution of secondary infections within households of 2009 pandemic influenza A (H1N1): implications for influenza control recommendations.2009 年甲型 H1N1 流感大流行中家庭内的连续间隔和二次感染的时间分布:对流感控制建议的影响。
Clin Infect Dis. 2011 Jan 1;52 Suppl 1(Suppl 1):S123-30. doi: 10.1093/cid/ciq028.
3
Demographic and attitudinal determinants of protective behaviours during a pandemic: a review.
人工引诱剂:对鹿类疾病管理的影响
Ecol Evol. 2025 Feb 20;15(2):e71013. doi: 10.1002/ece3.71013. eCollection 2025 Feb.
4
Foraging and mating behaviors of at the bat-human interface in a central African rainforest.中非雨林中蝙蝠与人类交界处的觅食和交配行为。
Ecol Evol. 2023 Jul 8;13(7):e10240. doi: 10.1002/ece3.10240. eCollection 2023 Jul.
5
Simulating Hunting Effects on the Wild Boar Population and African Swine Fever Expansion Using Agent-Based Modeling.使用基于主体的模型模拟狩猎对野猪种群和非洲猪瘟传播的影响。
Animals (Basel). 2023 Jan 14;13(2):298. doi: 10.3390/ani13020298.
6
Application of logistic differential equation models for early warning of infectious diseases in Jilin Province.基于逻辑斯蒂差分方程模型的吉林省传染病早期预警应用。
BMC Public Health. 2022 Nov 4;22(1):2019. doi: 10.1186/s12889-022-14407-y.
7
Transmission models indicate Ebola virus persistence in non-human primate populations is unlikely.传播模型表明,埃博拉病毒在非人类灵长类动物群体中持续存在的可能性不大。
J R Soc Interface. 2022 Feb;19(187):20210638. doi: 10.1098/rsif.2021.0638. Epub 2022 Feb 2.
8
Movement can mediate temporal mismatches between resource availability and biological events in host-pathogen interactions.在宿主-病原体相互作用中,运动可以调节资源可用性与生物事件之间的时间错配。
Ecol Evol. 2021 Mar 29;11(10):5728-5741. doi: 10.1002/ece3.7478. eCollection 2021 May.
9
ACE2 and TMPRSS2 variation in savanna monkeys (Chlorocebus spp.): Potential risk for zoonotic/anthroponotic transmission of SARS-CoV-2 and a potential model for functional studies.稀树草原猴(Chlorocebus spp.)中的 ACE2 和 TMPRSS2 变异:SARS-CoV-2 人畜共患病/人间传播的潜在风险和功能研究的潜在模型。
PLoS One. 2020 Jun 23;15(6):e0235106. doi: 10.1371/journal.pone.0235106. eCollection 2020.
10
Disease outbreak thresholds emerge from interactions between movement behavior, landscape structure, and epidemiology.疾病爆发阈值源自于运动行为、景观结构和流行病学之间的相互作用。
Proc Natl Acad Sci U S A. 2018 Jul 10;115(28):7374-7379. doi: 10.1073/pnas.1801383115. Epub 2018 Jun 25.
大流行期间保护行为的人口统计学和态度决定因素:综述。
Br J Health Psychol. 2010 Nov;15(Pt 4):797-824. doi: 10.1348/135910710X485826. Epub 2010 Jan 28.
4
The ecology of Bacillus anthracis.炭疽芽孢杆菌的生态学。
Mol Aspects Med. 2009 Dec;30(6):356-67. doi: 10.1016/j.mam.2009.08.003. Epub 2009 Aug 29.
5
Closure of schools during an influenza pandemic.流感大流行期间学校停课。
Lancet Infect Dis. 2009 Aug;9(8):473-81. doi: 10.1016/S1473-3099(09)70176-8.
6
Modelling control of epidemics spreading by long-range interactions.通过远程相互作用传播的流行病的建模控制。
J R Soc Interface. 2009 Oct 6;6(39):941-50. doi: 10.1098/rsif.2008.0468. Epub 2009 Jan 6.
7
Random walk models in biology.生物学中的随机游走模型。
J R Soc Interface. 2008 Aug 6;5(25):813-34. doi: 10.1098/rsif.2008.0014.
8
Estimating the impact of school closure on influenza transmission from Sentinel data.根据哨点数据评估学校关闭对流感传播的影响。
Nature. 2008 Apr 10;452(7188):750-4. doi: 10.1038/nature06732.
9
From inflammation to sickness and depression: when the immune system subjugates the brain.从炎症到疾病与抑郁:当免疫系统征服大脑时。
Nat Rev Neurosci. 2008 Jan;9(1):46-56. doi: 10.1038/nrn2297.
10
Spatial dynamics and genetics of infectious diseases on heterogeneous landscapes.异质景观上传染病的空间动态与遗传学
J R Soc Interface. 2007 Oct 22;4(16):935-48. doi: 10.1098/rsif.2007.1041.