马来西亚和泰国 Covid-19 病例的时间序列分析

Koh Ee Xinne, Sabariah Binti Saharan
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摘要

2019 年冠状病毒病(COVID-19)又称严重急性呼吸系统综合征冠状病毒 2(SARS-CoV-2),是一种高度传染性疾病。马来西亚于 2020 年 1 月 25 日发现首例 COVID-19 病例,泰国于 2020 年 1 月 13 日报告首例确诊病例。本研究的主要目的是利用简单指数平滑法和霍尔特线性趋势法,识别和预测马来西亚和泰国 COVID-19 确诊病例和死亡病例的趋势。本研究使用了马来西亚和泰国每日 COVID-19 确诊病例和死亡病例的 365 个数据。结果表明,使用简单指数平滑法,泰国每日确诊病例的准确率较高,MAPE 值为 10.41%;同样的结果也适用于每日死亡病例,泰国的 MAPE 值为 25.89%。同时,使用霍尔特线性趋势法,泰国每日确诊病例的 MAPE 精确度更高(16.77%),每日死亡病例的 MAPE 精确度也是如此,泰国占 25.00%。然而,在预测每日确诊病例时,简单指数平滑法的表现优于霍尔特线性趋势法,而在预测每日死亡病例时,霍尔特线性趋势法的表现优于简单指数平滑法。
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Time Series Analysis on Covid-19 Cases in Malaysia and Thailand
The 2019 Coronavirus Disease (COVID-19), also known as the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), is a highly contagious illness. The first Malaysia COVID-19 case was discovered on January 25, 2020, while Thailand reported their first confirmed case on January 13, 2020. In this research, the main objectives are to identify and forecast the trend of COVID-19 confirmed cases and death cases in Malaysia and Thailand by using the simple exponential smoothing method and Holt’s linear trend method. This research used 365 data of daily COVID-19 confirmed cases and death cases for Malaysia and Thailand. The results showed that Thailand recorded a higher accuracy with MAPE value of 10.41% in terms of daily confirmed cases by using a simple exponential smoothing method and the same findings applied to daily death cases, with Thailand accounted for 25.89% of MAPE. Meanwhile, by using Holt's linear trend method, Thailand achieved a higher accuracy of MAPE (16.77%) in terms of daily confirmed cases and the same conclusions held true for daily death cases, with Thailand accounting for 25.00% of MAPE. However, the simple exponential smoothing method outperformed Holt's linear trend method when forecasting daily confirmed cases, while Holt's linear trend method outperformed it when forecasting daily death cases.
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