Fig. 2From: Understanding the relationship between stay-at-home measures and vaccine shortages: a conventional, heterogeneous, and fractional dynamic approachFinal epidemic size \((R\left(\infty \right))\) colored with black, suspected susceptible \((S\left(\infty \right))\) colored with blue, lockdown \((L\left(\infty \right))\) colored with violet, infected \((I\left(\infty \right))\) colored with red and vaccinated \(\left(V\left(\infty \right)\right)\) with green. Parameters used are i \(\beta =1.0, \gamma =0.1, \alpha =1/5,\eta =0.0, q=0.0, l=0.0\) and \(\delta =0.0\). ii \(\beta =1.0, \gamma =0.1, \alpha =1/5,\eta =0.5, q=0.0, l=0.0\) and \(\delta =0.01\). iii \(\beta =1.0, \gamma =0.1, \alpha =1/5,\eta =0.8, q=0.0, l=0.0\) and \(\delta =0.05\). iv \(\beta =1.0, \gamma =0.1, \alpha =1/5,\eta =0.95, q=0.0, l=0.0\) and \(\delta =0.05.\) v \(\beta =1.0, \gamma =0.1, \alpha =1/5,\eta =0.95, q=0.0, l=0.0\) and \(\delta =0.1\). vi \(\beta =1.0, \gamma =0.1, \alpha =1/5,\eta =0.0, q=0.3, l=0.01\) and \(\delta =0.0\). and (vii) \(\beta =1.0, \gamma =0.1, \alpha =1/5,\eta =0.0, q=0.8, l=0.01\) and \(\delta =0.0\)Back to article page