A Review of COVID-19 Modelling Strategies in Three Countries to Develop a Research Framework for Regional Areas
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 nati...
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MDPI AG
2021
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oai:doaj.org-article:4fe967ea57774822b549401a84c9977c2021-11-25T19:13:09ZA Review of COVID-19 Modelling Strategies in Three Countries to Develop a Research Framework for Regional Areas10.3390/v131121851999-4915https://doaj.org/article/4fe967ea57774822b549401a84c9977c2021-10-01T00:00:00Zhttps://www.mdpi.com/1999-4915/13/11/2185https://doaj.org/toc/1999-4915At 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.Azizur RahmanMd Abdul KuddusRyan H. L. IpMichael BewongMDPI AGarticleCOVID-19modelsdifferent settingsintervention strategiesNSWMicrobiologyQR1-502ENViruses, Vol 13, Iss 2185, p 2185 (2021) |
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COVID-19 models different settings intervention strategies NSW Microbiology QR1-502 |
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COVID-19 models different settings intervention strategies NSW Microbiology QR1-502 Azizur Rahman Md Abdul Kuddus Ryan H. L. Ip Michael Bewong A Review of COVID-19 Modelling Strategies in Three Countries to Develop a Research Framework for Regional Areas |
description |
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. |
format |
article |
author |
Azizur Rahman Md Abdul Kuddus Ryan H. L. Ip Michael Bewong |
author_facet |
Azizur Rahman Md Abdul Kuddus Ryan H. L. Ip Michael Bewong |
author_sort |
Azizur Rahman |
title |
A Review of COVID-19 Modelling Strategies in Three Countries to Develop a Research Framework for Regional Areas |
title_short |
A Review of COVID-19 Modelling Strategies in Three Countries to Develop a Research Framework for Regional Areas |
title_full |
A Review of COVID-19 Modelling Strategies in Three Countries to Develop a Research Framework for Regional Areas |
title_fullStr |
A Review of COVID-19 Modelling Strategies in Three Countries to Develop a Research Framework for Regional Areas |
title_full_unstemmed |
A Review of COVID-19 Modelling Strategies in Three Countries to Develop a Research Framework for Regional Areas |
title_sort |
review of covid-19 modelling strategies in three countries to develop a research framework for regional areas |
publisher |
MDPI AG |
publishDate |
2021 |
url |
https://doaj.org/article/4fe967ea57774822b549401a84c9977c |
work_keys_str_mv |
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