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

<table class="table-group" id="tab6"><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">MAPE (%)</td></tr><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr><td class="align_left">Italy</td><td class="align_center">0.08</td></tr><tr><td class="align_left">New Zealand</td><td class="align_center">0.12</td></tr><tr><td class="align_left">Pakistan</td><td class="align_center">0.03</td></tr><tr><td class="align_left">USA</td><td class="align_center">0.11</td></tr><tr><td class="align_left">India</td><td class="align_center">0.72</td></tr><tr><td class="align_left">Brazil</td><td class="align_center">0.33</td></tr><tr><td class="align_left">South Africa</td><td class="align_center">0.08</td></tr><tr><td class="align_left">Spain</td><td class="align_center">1.28</td></tr><tr class="table-tr"><td colspan="2"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>MAPE values in the validation set—Alpha-Sutte method.</div>

BioMed Research International

tab6

Table 6

Table 6: Forecasting COVID-19 Cases Using Alpha-Sutte Indicator: A Comparison with Autoregressive Integrated Moving Average (ARIMA) Method 