Data Analytics and Prediction Model for Malaysian Covid 19 Vaccination Progress

Gophinath Krishnan, M. Reyasudin Basir Khan
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Abstract

SARS CoV-2 varieties keep developing, triggering disease outbreaks and delaying or even halting the opening of society and economies. In countries with high vaccination rates, there have been significant decreases in serious illness, hospitalization, and mortality. Nevertheless, vaccine availability is unequal internationally, with coverage varying from 1% to over 70%, primarily dependent on the nation's income. This study focuses on conducting data analytics and prediction model on the impact and intensity of the Covid-19 global vaccination trend compared to Malaysia. The country's vaccination performance is compared and analyzed with G7 countries such as Canada, France, Germany, Italy, Japan, the United Kingdom, and the United States. Moreover,  the vaccination rate of Malaysia and several SEA countries have also been compared in this study. This study discusses vital information such as the type of vaccines and vaccination rates. Meanwhile, the prediction model's goal is to predict the country's future vaccination trend.
马来西亚Covid - 19疫苗接种进展的数据分析和预测模型
SARS CoV-2品种不断发展,引发疾病暴发,延迟甚至停止社会和经济的开放。在疫苗接种率高的国家,严重疾病、住院和死亡率显著下降。然而,疫苗的可获得性在国际上是不平等的,覆盖率从1%到70%以上不等,主要取决于国家的收入。本研究的重点是对2019冠状病毒病全球疫苗接种趋势与马来西亚相比的影响和强度进行数据分析和预测模型。将该国的疫苗接种表现与加拿大、法国、德国、意大利、日本、英国和美国等七国集团国家进行比较和分析。此外,本研究还比较了马来西亚和几个东南亚国家的疫苗接种率。这项研究讨论了诸如疫苗类型和疫苗接种率等重要信息。同时,该预测模型的目标是预测该国未来的疫苗接种趋势。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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