Forecasting COVID-19 Cases Using Alpha-Sutte Indicator: A Comparison with Autoregressive Integrated Moving Average (ARIMA) Method

Table 1

Some socioeconomic and geographical characteristics of the selected countries.

Country	Population	Number of 65+ aged population (in millions)	Land area (km^2)	Share of world GDP (%)(2017)	Expenditure on education (% of GDP)	Human development index	Continent
Spain	46,761,579	8.99	498,800	1.62	4.2 (2016)	0.891	Europe
Italy	60,428,372	13.76	294,140	2.4	3.8 (2016)	0.88	Europe
New Zealand	5,002,100	0.76	263,310	0.25	6.4 (2016)	0.917	Oceania
USA	331,727,464	52.76	9,147,420	24.08	5.0 (2014)	0.924	North America
India	1,385,049,027	84.9	2,973,190	3.28	3.1 (2019)	0.64	Asia
Pakistan	222,469,681	9.31	770,880	0.38	2.9 (2017)	0.562	Asia
Brazil	213,122,892	17.79	8,358,140	2.54	6.2 (2015)	0.759	South America
South Africa	59,585,858	3.51	1,213,090	0.43	6.2 (2018)	0.699	Africa