Sakchai Tangprasert
ABSTRACT
The objective of this research is to analyze COVID-19 outbreak data in Asia using k-means and Seasonal Patterns techniques. The data was gathered from various organizations worldwide, available on GitHub from February 24, 2020, to May 16, 2022. The population density in Asia was clustered into Clusters_0 (high density), Clusters_1 (low density), and Clusters_2 (medium density) using k-means clustering. Moreover, forecasting was performed using the seasonal variation technique to create a map of the COVID-19 spread in Asia. Based on the available actual data, the spread of COVID-19 is expected to exhibit a decreasing trend in transmission over the next 30 days with a total margin of reliability rate of 81.21%. This research can be useful for policymakers, organizations, and public health officials to make informed decisions about future COVID-19 response plans.
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Index Terms
- Forecasting the Spread of COVID-19 in Asia: A Clustering and Seasonal Analysis
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