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

<table class="table-group" id="tab9"><tr><td><table class="table"><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr class="thead"><td class="align_left">Country</td><td class="align_center">Forecasted value</td></tr><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr><td class="align_left">USA</td><td class="align_center">7,126,437</td></tr><tr><td class="align_left">Brazil</td><td class="align_center">4,760,423</td></tr><tr><td class="align_left">Italy</td><td class="align_center">309,965</td></tr><tr><td class="align_left">India</td><td class="align_center">5,990,546</td></tr><tr><td class="align_left">Pakistan</td><td class="align_center">310,962</td></tr><tr><td class="align_left">South Africa</td><td class="align_center">670,936</td></tr><tr><td class="align_left">Spain</td><td class="align_center">724,185</td></tr><tr><td class="align_left">New Zealand</td><td class="align_center">1,835</td></tr><tr class="table-tr"><td colspan="2"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>Forecasted value for each of the selected country.</div>

BioMed Research International

tab9

Table 9

Table 9: Forecasting COVID-19 Cases Using Alpha-Sutte Indicator: A Comparison with Autoregressive Integrated Moving Average (ARIMA) Method 