Mathematical Modelling of the Spatial Epidemiology of COVID-19 with Different Diffusion Coefficients

<table class="table-group" id="tab4"><tr><td><table class="table"><tr><td class="thead-hr" colspan="3"><hr/></td></tr><tr class="thead"><td class="align_left">Compartment</td><td class="align_center">Value</td><td class="align_center">Proportion</td></tr><tr><td class="thead-hr" colspan="3"><hr/></td></tr><tr><td class="align_left">Susceptible</td><td class="align_center">30417756</td><td class="align_center">0.9999966467</td></tr><tr><td class="align_left">Exposed</td><td class="align_center">100</td><td class="align_center"><span style="width: 102.233ptpx;"><svg height="11.9413pt" id="M289" style="vertical-align:-0.3499002pt" version="1.1" viewbox="-0.0498162 -11.5914 102.233 11.9413" width="102.233pt" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink"><g transform="matrix(.013,0,0,-0.013,0,0)"><path d="M285 378C315 398 338 416 353 432C373 451 384 474 384 503C384 579 325 635 236 635H235C182 635 136 610 108 579L65 516L85 496C110 533 150 575 205 575C258 575 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<div>Initial conditions for the five subgroups of the population size of Ghana.</div>

International Journal of Differential Equations

tab4

Table 4

Table 4: Mathematical Modelling of the Spatial Epidemiology of COVID-19 with Different Diffusion Coefficients 