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新冠疫情的社会动态

The social dynamics of COVID-19.

作者信息

Lux Thomas

机构信息

Department of Economics, University of Kiel, Olshausenstr. 40, 24118 Kiel, Germany.

出版信息

Physica A. 2021 Apr 1;567:125710. doi: 10.1016/j.physa.2020.125710. Epub 2021 Jan 2.

DOI:10.1016/j.physa.2020.125710
PMID:33879957
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8050627/
Abstract

We add a simple dynamic process for adaptive "social distancing" measures to a standard SIR model of the COVID pandemic. With a limited attention span and in the absence of a consistent long-term strategy against the pandemic, this process leads to a sweeping of an instability, i.e. fluctuations in the effective reproduction number around its bifurcation value of . While mitigating the pandemic in the short-run, this process remains intrinsically fragile and does not constitute a sustainable strategy that societies could follow for an extended period of time.

摘要

我们在新冠疫情的标准SIR模型中添加了一个用于适应性“社交距离”措施的简单动态过程。由于注意力持续时间有限且缺乏对抗疫情的一致长期策略,这个过程导致了一种不稳定性的蔓延,即有效繁殖数在其分岔值附近波动。虽然在短期内减轻了疫情,但这个过程本质上仍然脆弱,并不构成社会可以长期遵循的可持续策略。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1187/8050627/635fb443f74f/gr4_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1187/8050627/2e6e28b3a011/gr1_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1187/8050627/f5a53bcb7cc8/gr2_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1187/8050627/4f66d93d378b/gr3_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1187/8050627/635fb443f74f/gr4_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1187/8050627/2e6e28b3a011/gr1_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1187/8050627/f5a53bcb7cc8/gr2_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1187/8050627/4f66d93d378b/gr3_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1187/8050627/635fb443f74f/gr4_lrg.jpg

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Proc Natl Acad Sci U S A. 2020 Oct 13;117(41):25897-25903. doi: 10.1073/pnas.2008087117. Epub 2020 Sep 22.
2
A Universal Physics-Based Model Describing COVID-19 Dynamics in Europe.一个通用的基于物理学的模型,用于描述欧洲的 COVID-19 动态。
Int J Environ Res Public Health. 2020 Sep 8;17(18):6525. doi: 10.3390/ijerph17186525.
3
COVID-19 herd immunity: where are we?COVID-19 群体免疫:我们在哪里?
社交距离对传染病传播有影响吗?基于SEIR模型和冈珀茨定律的细胞自动机
Entropy (Basel). 2022 Jun 15;24(6):832. doi: 10.3390/e24060832.
4
Individual risk-aversion responses tune epidemics to critical transmissibility ( = 1).个体的风险规避反应将流行病调整到临界传播率(=1)。
R Soc Open Sci. 2022 Apr 6;9(4):211667. doi: 10.1098/rsos.211667. eCollection 2022 Apr.
5
Population density impact on COVID-19 mortality rate: A multifractal analysis using French data.人口密度对新冠死亡率的影响:基于法国数据的多重分形分析
Physica A. 2022 May 1;593:126979. doi: 10.1016/j.physa.2022.126979. Epub 2022 Jan 29.
6
Endogenous viral mutations, evolutionary selection, and containment policy design.内源性病毒突变、进化选择与遏制政策设计
J Econ Interact Coord. 2022;17(3):801-825. doi: 10.1007/s11403-021-00344-3. Epub 2022 Jan 7.
7
Public efforts to reduce disease transmission implied from a spatial game.从空间博弈中推断出的减少疾病传播的公共努力。
Physica A. 2022 Mar 1;589:126619. doi: 10.1016/j.physa.2021.126619. Epub 2021 Nov 25.
8
Social stress drives the multi-wave dynamics of COVID-19 outbreaks.社会压力驱动 COVID-19 疫情的多波动态。
Sci Rep. 2021 Nov 18;11(1):22497. doi: 10.1038/s41598-021-01317-z.
9
Advances in the agent-based modeling of economic and social behavior.基于主体的经济与社会行为建模的进展
SN Bus Econ. 2021;1(7):99. doi: 10.1007/s43546-021-00103-3. Epub 2021 Jul 7.
Nat Rev Immunol. 2020 Oct;20(10):583-584. doi: 10.1038/s41577-020-00451-5.
4
Systematic biases in disease forecasting - The role of behavior change.疾病预测中的系统偏差 - 行为改变的作用。
Epidemics. 2019 Jun;27:96-105. doi: 10.1016/j.epidem.2019.02.004. Epub 2019 Feb 28.
5
Simulating SIR processes on networks using weighted shortest paths.使用加权最短路径在网络上模拟 SIR 过程。
Sci Rep. 2018 Apr 26;8(1):6562. doi: 10.1038/s41598-018-24648-w.
6
Memory effects on epidemic evolution: The susceptible-infected-recovered epidemic model.记忆效应对传染病演化的影响:易感染者-感染者-恢复者传染病模型。
Phys Rev E. 2017 Feb;95(2-1):022409. doi: 10.1103/PhysRevE.95.022409. Epub 2017 Feb 21.
7
Power laws without parameter tuning: An alternative to self-organized criticality.无需参数调整的幂律:自组织临界性的一种替代方法。
Phys Rev Lett. 1994 Apr 4;72(14):2306. doi: 10.1103/PhysRevLett.72.2306.