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三国新冠疫情建模策略综述:为区域制定研究框架

A Review of COVID-19 Modelling Strategies in Three Countries to Develop a Research Framework for Regional Areas.

作者信息

Rahman Azizur, Kuddus Md Abdul, Ip Ryan H L, Bewong Michael

机构信息

School of Computing, Mathematics and Engineering, Charles Sturt University, Wagga Wagga, NSW 2678, Australia.

Institute for Land, Water and Society (ILWS), Charles Sturt University, Albury, NSW 2640, Australia.

出版信息

Viruses. 2021 Oct 29;13(11):2185. doi: 10.3390/v13112185.

DOI:10.3390/v13112185
PMID:34834990
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8623457/
Abstract

At the end of December 2019, an outbreak of COVID-19 occurred in Wuhan city, China. Modelling plays a crucial role in developing a strategy to prevent a disease outbreak from spreading around the globe. Models have contributed to the perspicacity of epidemiological variations between and within nations and the planning of desired control strategies. In this paper, a literature review was conducted to summarise knowledge about COVID-19 disease modelling in three countries-China, the UK and Australia-to develop a robust research framework for the regional areas that are urban and rural health districts of New South Wales, Australia. In different aspects of modelling, summarising disease and intervention strategies can help policymakers control the outbreak of COVID-19 and may motivate modelling disease-related research at a finer level of regional geospatial scales in the future.

摘要

2019年12月底,中国武汉市爆发了新型冠状病毒肺炎(COVID-19)疫情。建模在制定预防疾病爆发在全球范围内传播的策略中起着至关重要的作用。模型有助于洞察国家之间和国家内部的流行病学差异,并为制定所需的控制策略提供帮助。本文进行了文献综述,总结了中国、英国和澳大利亚这三个国家关于COVID-19疾病建模的知识,以便为澳大利亚新南威尔士州城乡卫生区等区域制定一个强有力的研究框架。在建模的不同方面,总结疾病和干预策略有助于政策制定者控制COVID-19的爆发,并可能在未来更精细的区域地理空间尺度上推动与疾病建模相关的研究。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/94d3/8623457/c80d48aea85b/viruses-13-02185-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/94d3/8623457/c80d48aea85b/viruses-13-02185-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/94d3/8623457/c80d48aea85b/viruses-13-02185-g001.jpg

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本文引用的文献

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