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A Review of COVID-19 Modelling Strategies in Three Countries to Develop a Research Framework for Regional Areas.
Rahman, Azizur; Kuddus, Md Abdul; Ip, Ryan H L; Bewong, Michael.
  • Rahman A; School of Computing, Mathematics and Engineering, Charles Sturt University, Wagga Wagga, NSW 2678, Australia.
  • Kuddus MA; Institute for Land, Water and Society (ILWS), Charles Sturt University, Albury, NSW 2640, Australia.
  • Ip RHL; School of Computing, Mathematics and Engineering, Charles Sturt University, Wagga Wagga, NSW 2678, Australia.
  • Bewong M; Australian Institute of Tropical Health and Medicine, James Cook University, Townsville, QLD 4814, Australia.
Viruses ; 13(11)2021 10 29.
Article in English | MEDLINE | ID: covidwho-1488762
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.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 / Epidemiological Models Type of study: Observational study / Reviews Topics: Vaccines Limits: Humans Country/Region as subject: Asia / Europa / Oceania Language: English Year: 2021 Document Type: Article Affiliation country: V13112185

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Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 / Epidemiological Models Type of study: Observational study / Reviews Topics: Vaccines Limits: Humans Country/Region as subject: Asia / Europa / Oceania Language: English Year: 2021 Document Type: Article Affiliation country: V13112185