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英格兰单亲家庭 COVID-19 防控政策影响的网络分析:概念验证研究。

Network analysis of England's single parent household COVID-19 control policy impact: a proof-of-concept study.

机构信息

School of Sport and Health Sciences, University of Brighton, Brighton, UK.

Primary Care & Public Health, Brighton & Sussex Medical School, Brighton, UK.

出版信息

Epidemiol Infect. 2022 May 16;150:e104. doi: 10.1017/S0950268822000905.

DOI:10.1017/S0950268822000905
PMID:35570648
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9171063/
Abstract

Lockdowns have been a core infection control measure in many countries during the coronavirus disease 2019 (COVID-19) pandemic. In England's first lockdown, children of single parent households (SPHs) were permitted to move between parental homes. By the second lockdown, SPH support bubbles between households were also permitted, enabling larger within-household networks. We investigated the combined impact of these approaches on household transmission dynamics, to inform policymaking for control and support mechanisms in a respiratory pandemic context. This network modelling study applied percolation theory to a base model of SPHs constructed using population survey estimates of SPH family size. To explore putative impact, varying estimates were applied regarding extent of bubbling and proportion of different-parentage within SPHs (DSPHs) (in which children do not share both the same parents). Results indicate that the formation of giant components (in which COVID-19 household transmission accelerates) are more contingent on DSPHs than on formation of bubbles between SPHs, and that bubbling with another SPH will accelerate giant component formation where one or both are DSPHs. Public health guidance should include supportive measures that mitigate the increased transmission risk afforded by support bubbling among DSPHs. Future network, mathematical and epidemiological studies should examine both independent and combined impact of policies.

摘要

封锁措施是 2019 冠状病毒病(COVID-19)大流行期间许多国家的核心感染控制措施。在英国的第一次封锁期间,单亲家庭(SPH)的孩子被允许在父母家中之间流动。到第二次封锁时,也允许家庭之间的 SPH 支持气泡,从而扩大了家庭内部的网络。我们调查了这些方法对家庭传播动态的综合影响,以便为呼吸道大流行背景下的控制和支持机制的决策提供信息。这项网络建模研究应用渗流理论对基于人口调查估计的 SPH 家庭规模构建的 SPH 基本模型进行了分析。为了探索潜在的影响,我们对气泡形成的程度以及 SPH 中不同父母子女(DSPH)的比例(其中子女不共享父母双方)进行了不同的估计。结果表明,巨型组件(其中 COVID-19 家庭传播加速)的形成更多地取决于 DSPH,而不是 SPH 之间形成气泡,并且与另一个 SPH 进行气泡会加速形成 DSPH 的巨型组件。公共卫生指南应包括支持性措施,以减轻 DSPH 之间支持气泡带来的传播风险增加。未来的网络、数学和流行病学研究应同时研究政策的独立和综合影响。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dc92/9171063/4e68217e48e7/S0950268822000905_fig3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dc92/9171063/e8cb044fdd6c/S0950268822000905_fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dc92/9171063/e5564197463f/S0950268822000905_fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dc92/9171063/4e68217e48e7/S0950268822000905_fig3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dc92/9171063/e8cb044fdd6c/S0950268822000905_fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dc92/9171063/e5564197463f/S0950268822000905_fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dc92/9171063/4e68217e48e7/S0950268822000905_fig3.jpg

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