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由于检测能力有限导致的不连续的传染病传播转变。

Discontinuous epidemic transition due to limited testing.

机构信息

Institute of Science and Technology Austria, Klosterneuburg, Austria.

Chair for Network Dynamics, Center for Advancing Electronics Dresden (cfaed), Institute for Theoretical Physics and Center of Excellence Physics of Life, Technical University of Dresden, Dresden, Germany.

出版信息

Nat Commun. 2021 May 10;12(1):2586. doi: 10.1038/s41467-021-22725-9.

DOI:10.1038/s41467-021-22725-9
PMID:33972522
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8110767/
Abstract

High impact epidemics constitute one of the largest threats humanity is facing in the 21 century. In the absence of pharmaceutical interventions, physical distancing together with testing, contact tracing and quarantining are crucial in slowing down epidemic dynamics. Yet, here we show that if testing capacities are limited, containment may fail dramatically because such combined countermeasures drastically change the rules of the epidemic transition: Instead of continuous, the response to countermeasures becomes discontinuous. Rather than following the conventional exponential growth, the outbreak that is initially strongly suppressed eventually accelerates and scales faster than exponential during an explosive growth period. As a consequence, containment measures either suffice to stop the outbreak at low total case numbers or fail catastrophically if marginally too weak, thus implying large uncertainties in reliably estimating overall epidemic dynamics, both during initial phases and during second wave scenarios.

摘要

高影响力的传染病是 21 世纪人类面临的最大威胁之一。在缺乏药物干预的情况下,物理隔离以及检测、接触者追踪和隔离对于减缓疫情动态至关重要。然而,我们在这里表明,如果检测能力有限,遏制措施可能会失败,因为这些综合措施会极大地改变疫情转变的规则:疫情反应不再是连续的,而是不连续的。疫情不是遵循传统的指数增长,而是在爆发期内加速并呈爆炸式增长,超过指数增长。因此,如果遏制措施不够强,要么不足以阻止疫情在总病例数较低的情况下爆发,要么就会灾难性地失败,这意味着在疫情的初始阶段和第二波疫情场景中,可靠地估计总体疫情动态存在很大的不确定性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8f3e/8110767/4f58f7157bdd/41467_2021_22725_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8f3e/8110767/f86d1d4862dc/41467_2021_22725_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8f3e/8110767/5f04a494265f/41467_2021_22725_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8f3e/8110767/ddb4f642bcc2/41467_2021_22725_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8f3e/8110767/4f58f7157bdd/41467_2021_22725_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8f3e/8110767/f86d1d4862dc/41467_2021_22725_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8f3e/8110767/5f04a494265f/41467_2021_22725_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8f3e/8110767/ddb4f642bcc2/41467_2021_22725_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8f3e/8110767/4f58f7157bdd/41467_2021_22725_Fig4_HTML.jpg

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本文引用的文献

1
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Emerg Infect Dis. 2020 Jul;26(7). doi: 10.3201/eid2607.201595. Epub 2020 Jun 21.
2
Asymptomatic Transmission, the Achilles' Heel of Current Strategies to Control Covid-19.无症状传播,当前控制新冠疫情策略的致命弱点。
N Engl J Med. 2020 May 28;382(22):2158-2160. doi: 10.1056/NEJMe2009758. Epub 2020 Apr 24.
3
Covid-19: four fifths of cases are asymptomatic, China figures indicate.
自主隔室模型加速传染病流行。
PLoS One. 2022 Jul 18;17(7):e0269975. doi: 10.1371/journal.pone.0269975. eCollection 2022.
中国数据显示,新冠疫情:五分之四的病例无症状。
BMJ. 2020 Apr 2;369:m1375. doi: 10.1136/bmj.m1375.
4
SARS-CoV-2 (COVID-19) by the numbers.SARS-CoV-2(COVID-19)相关数据一览。
Elife. 2020 Apr 2;9:e57309. doi: 10.7554/eLife.57309.
5
Estimating the asymptomatic proportion of coronavirus disease 2019 (COVID-19) cases on board the Diamond Princess cruise ship, Yokohama, Japan, 2020.估算 2020 年日本横滨钻石公主号游轮上的 2019 年冠状病毒病(COVID-19)病例的无症状比例。
Euro Surveill. 2020 Mar;25(10). doi: 10.2807/1560-7917.ES.2020.25.10.2000180.
6
Role of contact tracing in containing the 2014 Ebola outbreak: a review.接触者追踪在控制2014年埃博拉疫情中的作用:综述
Afr Health Sci. 2017 Mar;17(1):225-236. doi: 10.4314/ahs.v17i1.28.
7
Complex Dynamical Behaviour in an Epidemic Model with Control.具有控制措施的传染病模型中的复杂动力学行为
Bull Math Biol. 2016 Nov;78(11):2212-2227. doi: 10.1007/s11538-016-0217-6. Epub 2016 Oct 18.
8
Beyond Contact Tracing: Community-Based Early Detection for Ebola Response.超越接触者追踪:基于社区的埃博拉应对早期检测
PLoS Curr. 2016 May 19;8:ecurrents.outbreaks.322427f4c3cc2b9c1a5b3395e7d20894. doi: 10.1371/currents.outbreaks.322427f4c3cc2b9c1a5b3395e7d20894.
9
The Neglected Dimension of Global Security--A Framework for Countering Infectious-Disease Crises.全球安全被忽视的层面——应对传染病危机的框架
N Engl J Med. 2016 Mar 31;374(13):1281-7. doi: 10.1056/NEJMsr1600236. Epub 2016 Jan 13.
10
Disease-induced resource constraints can trigger explosive epidemics.疾病引发的资源限制可能引发大规模流行病。
Sci Rep. 2015 Nov 16;5:16571. doi: 10.1038/srep16571.