Modelling Trends of Climatic Variability and Malaria in Ghana Using Vector Autoregression

<table class="fixed-width table-group" id="tab5"><tr><td><table class="table"><colgroup><col style="width:7.10em"/><col style="width:23.13em"/><col style="width:8.74em"/><col style="width:4.99em"/><col style="width:11.57em"/></colgroup><tr><td class="thead-hr" colspan="5"><hr/></td></tr><tr class="thead"><td class="align_left">Cause variable</td><td class="align_center">Null hypothesis</td><td class="align_center">Chi-squared-value</td><td class="align_center">p-value</td><td class="align_center">Decision</td></tr><tr><td class="thead-hr" colspan="5"><hr/></td></tr><tr><td class="align_left">RH</td><td class="align_center">No instantaneous causality between RH and Malaria</td><td class="align_center">20.872</td><td class="align_center">0.0001119</td><td class="align_center">Reject the null hypothesis</td></tr><tr><td class="align_left">Rain</td><td class="align_center">No instantaneous causality between Rain and Malaria</td><td class="align_center">20.374</td><td class="align_center">0.000142</td><td class="align_center">Reject the null hypothesis</td></tr><tr><td class="align_left">Tmax</td><td class="align_center">No instantaneous causality between Tmax and Malaria</td><td class="align_center">21.795</td><td class="align_center">7.198e-05</td><td class="align_center">Reject the null hypothesis</td></tr><tr class="table-tr"><td colspan="5"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>Instantaneous causality tests.</div>

Malaria Research and Treatment

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Table 5

Table 5: Modelling Trends of Climatic Variability and Malaria in Ghana Using Vector Autoregression 