遏制大流行病的建模。
Modelling to contain pandemics.
作者信息
Epstein Joshua M
机构信息
Center on Social and Economic Dynamics at the Brookings Institution, 1775 Massachusetts Avenue, Washington DC 20036, USA.
出版信息
Nature. 2009 Aug 6;460(7256):687. doi: 10.1038/460687a.
Abstract
Agent-based computational models can capture irrational behaviour, complex social networks and global scale--all essential in confronting H1N1, says Joshua M. Epstein.
摘要
约书亚·M·爱泼斯坦表示，基于主体的计算模型能够捕捉非理性行为、复杂的社会网络以及全球范围的情况——而这些在应对甲型H1N1流感时都是至关重要的。
相似文献
1
Modelling to contain pandemics.遏制大流行病的建模。
Nature. 2009 Aug 6;460(7256):687. doi: 10.1038/460687a.
2
Building an insurance against modern pandemics.建立针对现代大流行病的防范措施。
Curr Opin Investig Drugs. 2010 Feb;11(2):126-30.
3
Managing pandemic (H1N1) 2009.应对2009年甲型H1N1流感大流行
Ir Med J. 2009 Sep;102(8):267-8.
4
Who's afraid of the flu?谁害怕流感？
Time. 2009 Sep 28;174(12):38-42.
5
[A(H1N1): a powerful testimony].甲型（H1N1）流感：一个有力的例证
Rev Med Suisse. 2010 May 5;6(247):940-1.
6
[Fear and expectations].[恐惧与期望]
Tidsskr Nor Laegeforen. 2009 Aug 27;129(16):1619. doi: 10.4045/tidsskr.09.0996.
7
Pandemic influenza. Europe reconsiders H1N1 flu shots for children.大流行性流感。欧洲重新考虑为儿童接种甲型H1N1流感疫苗。
Science. 2009 Nov 13;326(5955):922. doi: 10.1126/science.326.5955.922.
8
On the Centenary of the Spanish Flu: Being Prepared for the Next Pandemic.在西班牙流感百年之际：为下一场大流行做好准备。
Virol Sin. 2018 Dec;33(6):463-466. doi: 10.1007/s12250-018-0079-1. Epub 2018 Dec 20.
9
Against the new H1N1 influenza (swine influenza): vaccinate or don't vaccinate (all)? That is currently the question!应对新型H1N1流感（猪流感）：接种疫苗还是不接种（所有人都接种）？这就是当前的问题！
Infection. 2009 Oct;37(5):379-80. doi: 10.1007/s15010-009-3509-z.
10
How to win trust over flu.如何赢得对流感的信任。
Nature. 2009 Oct 8;461(7265):698. doi: 10.1038/461698a.
引用本文的文献
1
Leveraging agent-based modeling and a randomized intervention to advance childhood physical activity: A study protocol.利用基于主体的建模和随机干预来促进儿童身体活动：一项研究方案。
PLoS One. 2025 Apr 15;20(4):e0321301. doi: 10.1371/journal.pone.0321301. eCollection 2025.
2
In silico study of heterogeneous tumour-derived organoid response to CAR T-cell therapy.基于计算机的异质性肿瘤类器官对 CAR T 细胞治疗反应的研究。
Sci Rep. 2024 May 29;14(1):12307. doi: 10.1038/s41598-024-63125-5.
3
Using self-organising maps to predict and contain natural disasters and pandemics.使用自组织映射来预测和控制自然灾害及大流行病。
Int J Intell Syst. 2022 Apr;37(4):2739-2757. doi: 10.1002/int.22440. Epub 2021 May 2.
4
Trade-Off between COVID-19 Pandemic Prevention and Control and Economic Stimulus.新冠大流行防控与经济刺激之间的权衡。
Int J Environ Res Public Health. 2022 Oct 27;19(21):13956. doi: 10.3390/ijerph192113956.
5
Using simulation modelling and systems science to help contain COVID-19: A systematic review.利用模拟建模和系统科学助力控制2019冠状病毒病：一项系统综述
Syst Res Behav Sci. 2022 Aug 19. doi: 10.1002/sres.2897.
6
Categorizing and Harmonizing Natural, Technological, and Socio-Economic Perils Following the Catastrophe Modeling Paradigm.按照灾害建模范式对自然、技术和社会经济风险进行分类和协调。
Int J Environ Res Public Health. 2022 Oct 6;19(19):12780. doi: 10.3390/ijerph191912780.
7
A simulation-deep reinforcement learning (SiRL) approach for epidemic control optimization.一种用于疫情防控优化的模拟深度强化学习（SiRL）方法。
Ann Oper Res. 2022 Sep 26:1-33. doi: 10.1007/s10479-022-04926-7.
8
Creation of a Supercomputer Simulation of a Society with Different Types of Active Agents and Its Approbation.创建一个包含不同类型活跃主体的社会的超级计算机模拟及其验证。
Her Russ Acad Sci. 2022;92(3):268-275. doi: 10.1134/S1019331622030182. Epub 2022 Aug 22.
9
EpiK: A Knowledge Base for Epidemiological Modeling and Analytics of Infectious Diseases.EpiK：传染病流行病学建模与分析知识库。
J Healthc Inform Res. 2017 Nov 6;1(2):260-303. doi: 10.1007/s41666-017-0010-9. eCollection 2017 Dec.
10
Epidemiological modelling in refugee and internally displaced people settlements: challenges and ways forward.难民和国内流离失所者定居点的流行病学建模：挑战与前进方向。
BMJ Glob Health. 2022 Mar;7(3). doi: 10.1136/bmjgh-2021-007822.
Zotero 插件