Evaluation of COVID-19 Pandemic in Six Asia-Pacific Countries using Data-Driven and Machine Learning Method Based on the Current Management and Interventions

Abstract Background South-east Asia and Western Pacific countries have large populations and underreporting of Covid19, which pose challenges to the large-scale response. Methods Data-driven methods are used to evaluate the Government or society’s interventions and the situation of the COVID-19 pandemic, and machine learning method are used to forecast the trend of COVID-19 pandemic based on the current management and interventions. Results The results show that. India received low government response index scores in February, and the number of confirmed cases and active cases in September became quite high with large stock and the overall growth rate is higher than 1. The number of daily confirmed cases in Bangladesh, Japan and Philippines is low and on the decline, it is rising in Malaysia and Indonesia. The number of active cases in Bangladesh, Japan, India and Bangladesh has begun to decline, Malaysia and Indonesia is no sign of decline. Bangladesh, Japan and Philippines will be flat or moderating, while Malaysia and Indonesia will still have no slowdown momentum and the situation will be severe. Conclusions The results show that the existing management and interventions responses are effective, although they have room for improvement, and Malaysia and Indonesia need to be improved and strengthened.