Information Approach for Change Point Analysis of EGGAPE Distribution and Application to COVID-19 Data

<table class="table-group" id="tab9"><tr><td><table class="table"><tr><td class="thead-hr" colspan="3"><hr/></td></tr><tr class="thead"><td class="align_left">Change point location</td><td class="align_center">Date</td><td class="align_center">Possible reason</td></tr><tr><td class="thead-hr" colspan="3"><hr/></td></tr><tr><td class="align_left">3</td><td class="align_center">29-02-2020</td><td class="align_center">Rapid spread of COVID-19 in Northern Italy</td></tr><tr><td class="align_left">33</td><td class="align_center">30-03-2020</td><td class="align_center">Decline in number of new cases and deaths</td></tr><tr><td class="align_left">40</td><td class="align_center">06-04-2020</td><td class="align_center">Extension of lock down until 13 april</td></tr><tr><td class="align_left">52</td><td class="align_center">18-04-2020</td><td class="align_center">Extension of lock down until 5 may</td></tr><tr class="table-tr"><td colspan="3"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>Change point of Italy COVID-19 mortality rate data.</div>

Mathematical Problems in Engineering

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Table 9

Table 9: Information Approach for Change Point Analysis of EGGAPE Distribution and Application to COVID-19 Data 