Suppr超能文献

理论流行病学在中国亟需关注。

Theoretical Epidemiology Needs Urgent Attention in China.

作者信息

Wang Yao, Zhao Zeyu, Rui Jia, Chen Tianmu

机构信息

State Key Laboratory of Vaccines for Infectious Diseases, Xiang An Biomedicine Laboratory, School of Public Health, Xiamen University, Xiamen City, Fujian Province, China.

出版信息

China CDC Wkly. 2024 May 24;6(21):499-502. doi: 10.46234/ccdcw2024.096.

Abstract

The mathematical method to which theoretical epidemiology belongs is one of the three major methodologies in epidemiology. It is of great value in diagnosing infectious disease epidemic trends and evaluating the effectiveness of prevention and control measures. This paper aims to summarize the brief history of the development of theoretical epidemiology, common types of mathematical models, and key steps to develop a mathematical model. It also provides some thoughts and perspectives on the development and application of theoretical epidemiology in China.

摘要

理论流行病学所属的数学方法是流行病学的三大主要方法之一。它在诊断传染病流行趋势和评估防控措施效果方面具有重要价值。本文旨在总结理论流行病学发展的简要历史、常见的数学模型类型以及建立数学模型的关键步骤。同时,还对理论流行病学在中国的发展与应用提供了一些思考和观点。

相似文献

1
Theoretical Epidemiology Needs Urgent Attention in China.
China CDC Wkly. 2024 May 24;6(21):499-502. doi: 10.46234/ccdcw2024.096.
2
epidemix-An interactive multi-model application for teaching and visualizing infectious disease transmission.
Epidemics. 2018 Jun;23:49-54. doi: 10.1016/j.epidem.2017.12.003. Epub 2017 Dec 11.
3
Mathematical epidemiology is not an oxymoron.
BMC Public Health. 2009 Nov 18;9 Suppl 1(Suppl 1):S2. doi: 10.1186/1471-2458-9-S1-S2.
4
Mathematical prediction in infection.
Medicine (Abingdon). 2009 Oct;37(10):507-509. doi: 10.1016/j.mpmed.2009.07.004. Epub 2009 Sep 19.
5
[Advance on theoretical epidemiology models research of prevention and control of COVID-19].
Zhonghua Yu Fang Yi Xue Za Zhi. 2021 Oct 6;55(10):1256-1262. doi: 10.3760/cma.j.cn112150-20210310-00241.
7
Mathematical modelling of SARS and other infectious diseases in China: a review.
Trop Med Int Health. 2009 Nov;14 Suppl 1:92-100. doi: 10.1111/j.1365-3156.2009.02244.x. Epub 2009 Jun 5.
8
A review and critique of modelling in prioritising and designing screening programmes.
Health Technol Assess. 2007 Dec;11(52):iii-iv, ix-xi, 1-145. doi: 10.3310/hta11520.
9
Influenza--insights from mathematical modelling.
Dtsch Arztebl Int. 2009 Nov;106(47):777-82. doi: 10.3238/arztebl.2009.0777. Epub 2009 Nov 20.
10
[A review of spatial epidemiology with malaria surveillance and control in China].
Zhongguo Xue Xi Chong Bing Fang Zhi Za Zhi. 2017 Jul 6;29(5):651-655. doi: 10.16250/j.32.1374.2017020.

本文引用的文献

1
MODELS: a six-step framework for developing an infectious disease model.
Infect Dis Poverty. 2024 Apr 17;13(1):30. doi: 10.1186/s40249-024-01195-3.
2
Lessons from COVID-19 for rescalable data collection.
Lancet Infect Dis. 2023 Sep;23(9):e383-e388. doi: 10.1016/S1473-3099(23)00121-4. Epub 2023 May 4.
4
5
Mathematical Models Supporting Control of COVID-19.
China CDC Wkly. 2022 Oct 7;4(40):895-901. doi: 10.46234/ccdcw2022.186.
6
Modeling the impact of the vaccine on the COVID-19 epidemic transmission via fractional derivative.
Eur Phys J Plus. 2022;137(7):802. doi: 10.1140/epjp/s13360-022-02988-x. Epub 2022 Jul 11.
7
Optimal vaccine roll-out strategies including social distancing for pandemics.
iScience. 2022 Jul 15;25(7):104575. doi: 10.1016/j.isci.2022.104575. Epub 2022 Jun 15.
9
The optimal vaccination strategy to control COVID-19: a modeling study in Wuhan City, China.
Infect Dis Poverty. 2021 Dec 28;10(1):140. doi: 10.1186/s40249-021-00922-4.
10
Effect of non-pharmacological interventions on the COVID-19 epidemic in Saudi Arabia.
Epidemiol Infect. 2021 Nov 29;149:e252. doi: 10.1017/S0950268821002612.

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验