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Activity-driven network modeling and control of the spread of two concurrent epidemic strains.活动驱动的网络建模与两种并发流行毒株传播的控制
Appl Netw Sci. 2022;7(1):66. doi: 10.1007/s41109-022-00507-6. Epub 2022 Sep 27.
2
Lockdowns exert selection pressure on overdispersion of SARS-CoV-2 variants.封锁对 SARS-CoV-2 变种的过分散度产生选择压力。
Epidemics. 2022 Sep;40:100613. doi: 10.1016/j.epidem.2022.100613. Epub 2022 Jul 30.
3
Waning effectiveness of the third dose of the BNT162b2 mRNA COVID-19 vaccine.辉瑞-BioNTech 新冠疫苗第三剂效力下降。
Nat Commun. 2022 Jun 9;13(1):3203. doi: 10.1038/s41467-022-30884-6.
4
Urban Determinants of COVID-19 Spread: a Comparative Study across Three Cities in New York State.城市对新冠病毒传播的影响因素:纽约州三个城市的比较研究。
J Urban Health. 2022 Oct;99(5):909-921. doi: 10.1007/s11524-022-00623-9. Epub 2022 Jun 6.
5
Duration of mRNA vaccine protection against SARS-CoV-2 Omicron BA.1 and BA.2 subvariants in Qatar.mRNA 疫苗预防卡塔尔奥密克戎 BA.1 和 BA.2 亚变种对 SARS-CoV-2 的保护持续时间。
Nat Commun. 2022 Jun 2;13(1):3082. doi: 10.1038/s41467-022-30895-3.
6
Predicting the Effects of Waning Vaccine Immunity Against COVID-19 through High-Resolution Agent-Based Modeling.通过基于高分辨率智能体模型预测新冠疫苗免疫力减弱的影响。
Adv Theory Simul. 2022 Jun;5(6):2100521. doi: 10.1002/adts.202100521. Epub 2022 Feb 14.
7
A multi-strain epidemic model for COVID-19 with infected and asymptomatic cases: Application to French data.具有感染和无症状病例的 COVID-19 多菌株传染病模型:在法国数据中的应用。
J Theor Biol. 2022 Jul 21;545:111117. doi: 10.1016/j.jtbi.2022.111117. Epub 2022 May 2.
8
Generic approach for mathematical model of multi-strain pandemics.多菌株大流行的数学模型通用方法。
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9
SARS-CoV-2: from herd immunity to hybrid immunity.SARS-CoV-2:从群体免疫到混合免疫。
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10
Prioritizing COVID-19 test utilization during supply shortages in the late phase pandemic.在疫情后期供应短缺期间对新冠病毒检测的使用进行优先级排序。
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探索新冠疫情地方性流行情景:基于多变体的高分辨率主体建模

Exploring a COVID-19 Endemic Scenario: High-Resolution Agent-Based Modeling of Multiple Variants.

作者信息

Truszkowska Agnieszka, Zino Lorenzo, Butail Sachit, Caroppo Emanuele, Jiang Zhong-Ping, Rizzo Alessandro, Porfiri Maurizio

机构信息

Center for Urban Science and Progress Tandon School of Engineering New York University 370 Jay Street Brooklyn NY 11201 USA.

Department of Mechanical and Aerospace Engineering Tandon School of Engineering New York University Six MetroTech Center Brooklyn NY 11201 USA.

出版信息

Adv Theory Simul. 2023 Jan;6(1):2200481. doi: 10.1002/adts.202200481. Epub 2022 Nov 11.

DOI:10.1002/adts.202200481
PMID:36718198
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9878004/
Abstract

Our efforts as a society to combat the ongoing COVID-19 pandemic are continuously challenged by the emergence of new variants. These variants can be more infectious than existing strains and many of them are also more resistant to available vaccines. The appearance of these new variants cause new surges of infections, exacerbated by infrastructural difficulties, such as shortages of medical personnel or test kits. In this work, a high-resolution computational framework for modeling the simultaneous spread of two COVID-19 variants: a widely spread base variant and a new one, is established. The computational framework consists of a detailed database of a representative U.S. town and a high-resolution agent-based model that uses the Omicron variant as the base variant and offers flexibility in the incorporation of new variants. The results suggest that the spread of new variants can be contained with highly efficacious tests and mild loss of vaccine protection. However, the aggressiveness of the ongoing Omicron variant and the current waning vaccine immunity point to an endemic phase of COVID-19, in which multiple variants will coexist and residents continue to suffer from infections.

摘要

我们社会抗击持续的新冠疫情的努力不断受到新变种出现的挑战。这些变种可能比现有毒株更具传染性,而且其中许多对现有疫苗也更具抗性。这些新变种的出现导致新的感染激增,而基础设施困难,如医务人员或检测试剂盒短缺,使情况更加恶化。在这项工作中,建立了一个高分辨率计算框架,用于模拟两种新冠变种(一种广泛传播的基础变种和一种新变种)的同时传播。该计算框架由一个具有代表性的美国城镇的详细数据库和一个高分辨率基于主体的模型组成,该模型以奥密克戎变种为基础变种,并在纳入新变种方面具有灵活性。结果表明,通过高效检测和疫苗保护效力的轻微下降,可以控制新变种的传播。然而,当前奥密克戎变种的侵袭性以及疫苗免疫力的逐渐减弱表明新冠疫情进入了一个地方流行阶段,在此阶段多种变种将共存,居民将继续遭受感染。