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COVID-19 is rapidly expanding across the globe. As a Southeast Asian region, Malaysia has also been affected by COVID-19. Since the COVID-19 outbreak first emerged in China at the end of 2019, Malaysia has taken precautionary measures to prevent entering the nation. However, since COVID-19 is more than undoubtedly unstoppable, Malaysia eventually received the first case in early January 2020. The increase in the epidemic scale has led to the (preface of non-pharmaceutical countermeasures). Hence, it is of utmost importance to analyze the trends of the cases to develop a forecasting model that could anticipate the number of confirmed COVID-19 cases in Malaysia and select the best forecasting model based on forecast measure accuracy to forecast the future course of outcomes. For this purpose, the number of daily cases from 15 March 2020 to 31 March 2021 was retrieved from the Ministry of Health (MOH) website and estimated using the Box-Jenkins approach. There were five models developed such ARIMA (1,1,1), ARIMA (1,1,2), ARIMA (1,1,3), ARIMA (2,1,1) and ARIMA (2,1,2). The models' effectiveness is evaluated based on AIC, BIC and RMSE criteria. The findings indicate that ARIMA (1,1,3) is the preferred model for forecasting since it has better performance regarding adopted criteria than compared models. The forecasted values showed an upward trend of COVID-19 cases until January 2022. In conclusion, subsequent studies would yield more discoveries and a more systematic approach to have better and more accurate forecasting. In the instance of the COVID-19, the recommended model appears to be correct. More complex modelling methodologies and extensive information on the disease are required to forecast the pandemic.

Vaccination is an important solution to a particular illness. In addition, vaccination is a treatment that makes the body more resistant to infection. Recently, vaccination awareness has been quite worrisome. Refusal of vaccination despite the availability of vaccines threatens the progress in avoiding vaccine-preventable diseases. Therefore, this study explored the most significant factor influencing vaccine hesitancy among Malaysian parents. A total of 203 Malaysian parents participated in this study. A logistic regression analysis was performed to show the influential factors. It is found that among educational level, living area, vaccination awareness and media exposure, only media exposure (p=0.000) was significant. It showed that media exposure is affecting parents' hesitancy in vaccinating their children. It is hoped that this study beneficial to raise awareness of vaccination among Malaysian citizens. This study can convince relevant organizations to launch an awareness campaign about the importance of vaccination. From here, the government can fulfil its responsibility to educate people about the importance and benefits of vaccination.