ABSTRACT
This chapter presents a global model of the Coronavirus disease (COVID-19) to determine the important periods of each country, prediction of confirmed cases, and discover spatiotemporal hot/cold spots. The importance of the COVID-19 periods is assessed for each country and the most important periods are selected as time series prediction delays and temporal neighborhood steps of spatiotemporal analysis. The Geographic Information System (GIS) is an analytical tool for collecting, editing, managing, and processing of spatial data. GIS is also used as a platform for spatiotemporal analyses by integrating temporal data with location and attribute data. Wavelet transform is a mathematical approach to the decomposition of data into a variety of frequency components. The Continuous Wavelet Transformation (CWT) is an important method for assessing non-stationary signals and providing a number of signal information, such as time, frequency, scale, and local signal correlation.
