# Transportation and Reserve of Emergency Medical Supplies during Public Health Events
## 4 Experimental Results
### Setting of the Demand Urgency Function
\begin{table}
\begin{tabular}{c c c c c c c c c c c} \hline \hline  & **X1** & **X2** & **X3** & **X4** & **X5** & **X6** & **X7** & **X8** & **X9** & **X10** & **X11** \\ \hline X1 & 1 & & & & & & & & & \\ X2 & \(-0.02\) & 1 & & & & & & & & & \\ X3 & \(-0.287\) & \(-0.41\) & 1 & & & & & & & & \\ X4 & \(0.394\) & \(-0.162\) & \(-0.52\) & 1 & & & & & & & \\ X5 & \(0.297\) & \(-0.346\) & \(-0.323\) & 0.875 & 1 & & & & & \\ X6 & \(0.373\) & \(-0.511\) & \(-0.026\) & 0.515 & 0.622 & 1 & & & & \\ X7 & \(-0.081\) & \(-0.101\) & \(-0.225\) & 0.275 & 0.445 & \(-0.285\) & & & & \\ X8 & \(0.497\) & \(-0.123\) & \(-0.14\) & 0.709 & 0.758 & 0.663 & \(-0.051\) & 1 & & \\ X9 & \(-0.316\) & \(-0.133\) & 0.086 & 0.445 & 0.514 & 0.278 & 0.082 & 0.623 & 1 & \\ X10 & \(-0.824\) & \(0.273\) & 0.144 & \(-0.461\) & \(-0.485\) & \(-0.448\) & \(-0.257\) & \(-0.37\) & 0.328 & 1 & \\ X11 & \(0.256\) & \(-0.44\) & \(-0.095\) & 0.795 & 0.901 & 0.829 & 0.103 & 0.783 & 0.524 & \(-0.441\) & 1 \\ \hline \hline \end{tabular}
\end{table} 
Table 7: Correlation matrix. thus achieving an excellent dimension reduction effect, and the cumulative contribution rate is as high as 70-95%. Because the first three indicators have reached 70% of the contribution rate, the fourth principal component contribution is low, so only the first three principal components are studied. According to the rotated component matrix Table 9 and component matrix Table 10, through the analysis results of the principal components, it can be seen that the enrollment rate of colleges and universities, median age, vaccination rate, per capita GDP, percentage of health expenditure to GDP, and UHC coverage index have a high load on the first factor. These indicators objectively reflect the country's ability to fight against pneumonia in COVID-19, so they are named \"fighting ability\". Population density, the percentage of health expenditure to GDP and the percentage of consumption expenditure to GDP have a high load on the second factor. These indicators objectively reflect the resilience of the country in the face of pneumonia in COVID-19, so they are named \"resilience\". The control degree of epidemic prevention policy, the number of inbound tourists received, and the number of beds per thousand people have a high load on the third factor. These indicators reflect the emergency response ability in the face of pneumonia in COVID-19, so they are named \"emergency response ability\". The proportion of principal components is set as \(a\). For convenience in calculation and normalization, resistance ability \(a_{1}=57\). 5%, the resilience ability \(a_{2}=23\). 11% and the emergency response ability \(a_{3}=19\). 39%. Set the proportion of indicators as \(b\), \(b_{11}=-0.\) 041, \(b_{12}=0\). 41, and so on \(b_{ij}\). \begin{table}
\begin{tabular}{c c c c c c c} \hline \hline \multirow{3}{*}{**Composition**} & \multicolumn{6}{c}{**Total Variance Explained**} \\ \cline{2-7}  & \multicolumn{3}{c}{**Initial Eigenvalue**} & \multicolumn{3}{c}{**Extracting the Sum of Squares of Loads**} \\ \cline{2-7}  & **Total** & **Variance** & **Vorance** & **Vorance** & **Vorance** & **Cumulative\%** \\  & **Percentage** & **Cumulative/\%** & **Total** & **Percentage** & **Cumulative/\%** \\ \hline
1 & 4.978 & 45.254 & 45.254 & 4.978 & 45.254 & 45.254 \\
2 & 2.001 & 18.189 & 63.443 & 2.001 & 18.189 & 63.443 \\
3 & 1.679 & 15.264 & 78.707 & 1.679 & 15.264 & 78.707 \\
4 & 1.281 & 11.642 & 90.35 & & & \\
5 & 0.593 & 5.389 & 95.739 & & & \\
6 & 0.248 & 2.255 & 97.995 & & & \\
7 & 0.158 & 1.436 & 99.431 & & & \\
8 & 0.056 & 0.507 & 99.937 & & & \\
9 & 0.007 & 0.063 & 100 & & & \\
10 & \(3.35\times 10^{-16}\) & \(3.04\times 10^{-15}\) & 100 & & & \\
11 & \(-1.78\times 10^{-16}\) & \(-1.62\times 10^{-15}\) & 100 & & & \\ \hline \hline \end{tabular}
\end{table} 
Table 8: Principal component contribution table.