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更好地模拟传染病:中国新冠疫情的经验教训。

Better modelling of infectious diseases: lessons from covid-19 in China.

机构信息

Department of Biostatistics, School of Public Health, Center of Global Health, China International Cooperation Center for Environment and Human Health, Nanjing Medical University, Nanjing 211166, China.

Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China.

出版信息

BMJ. 2021 Dec 1;375:n2365. doi: 10.1136/bmj.n2365.

DOI:10.1136/bmj.n2365
PMID:34852999
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8634343/
Abstract

More timely, accurate, and relevant data and methodological innovation could exploit the full power of modelling, argue

摘要

更及时、准确和相关的数据和方法创新可以充分利用建模的力量,这是有争议的。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ed97/8634343/dcad11024937/weiy066199.f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ed97/8634343/dcad11024937/weiy066199.f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ed97/8634343/dcad11024937/weiy066199.f1.jpg

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Despite vaccination, China needs non-pharmaceutical interventions to prevent widespread outbreaks of COVID-19 in 2021.尽管已经接种了疫苗,但中国仍需要采取非药物干预措施,以防止 2021 年 COVID-19 的广泛爆发。
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Seroprevalence and humoral immune durability of anti-SARS-CoV-2 antibodies in Wuhan, China: a longitudinal, population-level, cross-sectional study.
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Transbound Emerg Dis. 2024 May 30;2024:8824971. doi: 10.1155/2024/8824971. eCollection 2024.
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Framework to guide the use of mathematical modelling in evidence-based policy decision-making.循证政策决策中指导数学建模应用的框架。
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