Abstract
COVID-19 is the disease caused by a novel coranavirus, which outbreak started in Wuhan community of China during December, 2019. World Health Organisation (WHO) started reporting cases of COVID-19 on 21<sup>st</sup> January. In this research, we aimed at forecasting new cases of COVID-19 per day, using data collected from 21<sup>st</sup> January to 10<sup>th</sup> June, 2020, spanning 142 days, by fitting polynomial models.
Highlights
The novel coronavirus, which was isolated on 7th January 2020, is a virus that causes disease called COVID-19, detected in Wuhan City, Hubei Province of China in December, 2019 [1]
Forecast was made that if there is no new phase of the virus and there are compliances to government policies to prevent the spread of COVID-19 as advised by the Centre of Disease Control (CDC) and World Health Organisation (WHO), new cases of COVID-19 per day globally would reduce significantly in coming days
Data were collected from WHO (2020) and Worldometers (2020) on COVID-19 daily reported cases from 21 January 2020 to 10 June 2020, spanning 142 days as shown in Appendix I
Summary
The novel coronavirus, which was isolated on 7th January 2020, is a virus that causes disease called COVID-19, detected in Wuhan City, Hubei Province of China in December, 2019 [1]. A total of 44 cases were reported by World Health Organisation (WHO) China country office from 31st December 2019 to 20th January 2020. Thailand reported the first imported case of laboratory confirmed COVID-19 from Wuhan on 13th January, 2020. Japan Ministry of Health, Labour and Welfare (MHLW), on 15th January 2020, reported an imported case of laboratory confirmed COVID-19 from Wuhan. WHO [2] reported on 20th January, 2020 that 282 confirmed cases of COVID-19 from four countries including 278 cases from China, 2 from Thailand, 1 from Japan and 1 from Republic of Korea; all from the same region. Cases in Thailand, Japan and Republic of Korea are all imported cases from China
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