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Modelling COVID-19 Scenarios for the States and Federal Territories of Malaysia.
Ahmad, Noor Atinah; Mohd, Mohd Hafiz; Musa, Kamarul Imran; Abdullah, Jafri Malin; Othman, Nurul Ashikin.
  • Ahmad NA; School of Mathematical Sciences, Universiti Sains Malaysia, Pulau Pinang, Malaysia.
  • Mohd MH; School of Mathematical Sciences, Universiti Sains Malaysia, Pulau Pinang, Malaysia.
  • Musa KI; School of Medical Sciences, Universiti Sains Malaysia, Kubang Kerian, Kelantan, Malaysia.
  • Abdullah JM; School of Medical Sciences, Universiti Sains Malaysia, Kubang Kerian, Kelantan, Malaysia.
  • Othman NA; School of Mathematical Sciences, Universiti Sains Malaysia, Pulau Pinang, Malaysia.
Malays J Med Sci ; 28(5): 1-9, 2021 Oct.
Article in English | MEDLINE | ID: covidwho-1513329
ABSTRACT
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) causes COVID-19 disease, which has become pandemic since December 2019. In the recent months, among five countries in the Southeast Asia, Malaysia has the highest per-capita daily new cases and daily new deaths. A mathematical modelling approach using a Singular Spectrum Analysis (SSA) technique was used to generate data-driven 30-days ahead forecasts for the number of daily cases in the states and federal territories in Malaysia at four consecutive time points between 27 July 2021 and 26 August 2021. Each forecast was produced using SSA prediction model of the current major trend at each time point. The objective is to understand the transition dynamics of COVID-19 in each state by analysing the direction of change of the major trends during the period of study. The states and federal territories in Malaysia were grouped in four categories based on the nature of the transition. Overall, it was found that the COVID-19 spread has progressed unevenly across states and federal territories. Major regions like Selangor, Kuala Lumpur, Putrajaya and Negeri Sembilan were in Group 3 (fast decrease in infectivity) and Labuan was in Group 4 (possible eradication of infectivity). Other states e.g. Pulau Pinang, Sabah, Sarawak, Kelantan and Johor were categorised in Group 1 (very high infectivity levels) with Perak, Kedah, Pahang, Terengganu and Melaka were classified in Group 2 (high infectivity levels). It is also cautioned that SSA provides a promising avenue for forecasting the transition dynamics of COVID-19; however, the reliability of this technique depends on the availability of good quality data.
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Full text: Available Collection: International databases Database: MEDLINE Type of study: Experimental Studies / Prognostic study Language: English Journal: Malays J Med Sci Year: 2021 Document Type: Article Affiliation country: Mjms2021.28.5.1

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Full text: Available Collection: International databases Database: MEDLINE Type of study: Experimental Studies / Prognostic study Language: English Journal: Malays J Med Sci Year: 2021 Document Type: Article Affiliation country: Mjms2021.28.5.1