# Transportation and Reserve of Emergency Medical Supplies during Public Health Events
## 4 Experimental Results
### Setting of the Demand Urgency Function  
In order to obtain an accurate calculation system of the urgency function of the demand, according to the principal component analysis method, the data reports released by the United Nations, the World Health Organization, and the World Bank and the COVID-19 epidemic statistics and policy tracking system released by Johns Hopkins University and Oxford University [45,46]. According to different geographical locations, the data of 10 countries (United States, Canada, Mexico, Britain, Russia, Germany, Philippines, Singapore, Turkey, and Chile) with prominent economies in different continents and more data for studying the prevention and control of public health issues in 2021 are shown in Table 6. Using SPSS software to perform the analysis of principal components in the data, the correlation matrix is obtained, as shown in Table 7.  
It can be seen that the correlation between variables is moderate and that the selected indicators have a suitable level to explain the degree of COVID-19 demand. At the same time, \(p=0.001<0.01\), indicating that the data released by the United Nations and the World Health Organization can effectively reflect the situation of COVID-19, and the data are valid. At the same time, according to Table 8, the contribution rates of the first, second, third, and fourth principal components are 45.254%, 18.189%, 15.264%, and 11.642%, respectively, and the total contribution rate is as high as 90.35%. According to the general principle of eigenvalue selection, only the first four principal components can be selected to retain the information of the original index, and it is simplified into four new comprehensive indexes, \begin{table}
\begin{tabular}{l c c c c c c c c c c c} \hline \hline  & & \multicolumn{3}{c}{X2 Strict} & \multicolumn{3}{c}{X4} & \multicolumn{3}{c}{X5} & \multicolumn{3}{c}{X6} & \multicolumn{3}{c}{X7} & \multicolumn{3}{c}{X8} & \multicolumn{3}{c}{X9} & \multicolumn{3}{c}{X10} & \multicolumn{3}{c}{X11} \\ \cline{3-11} \multirow{-2}{*}{**State**} & \multirow{-2}{*}{**X1**} & **Index of** & \multirow{-2}{*}{**Precention**} & \multirow{-2}{*}{**X3**} & **Eximedment** & & & & & & & \\  & & & & **Receives** & & & **Rate of** & & **Median** & **Vaccination** & **of Beds** & **Year** & **as a** & **Coverage** \\  & & & & **Tourists** & & **of Higher** & & **Age** & & **Thousands** & **of GPDF** & **Percentage** & **Index** \\  & & & & & & **Learning** & & & **of People** & & **of GPDF** & **of GPDF** & \\ \hline United States & 36.84 & 49.54 & 22,100,000 & 54.6 & 37.7 & 64.98 & 3.3 & 70,248.6 & 16.9 & 82.6 & 86 \\ Canada & 4.2 & 64.95 & 3,060,00 & 53.4 & 40.2 & 75.84 & 3.5 & 51,987.9 & 8.7 & 76.2 & 91 \\ Mexico & 64.67 & 38.89 & 31,860,000 & 30.5 & 29 & 50.23 & 3.3 & 10,045.7 & 3.3 & 77.9 & 75 \\ Britain & 277.17 & 39.97 & 5,940,000 & 60.9 & 39.6 & 72.44 & 2.3 & 46,510.3 & 9.9 & 82.8 & 88 \\ Russia & 8.86 & 54.17 & 290,000 & 60.1 & 38.8 & 33.41 & 8.5 & 12,194.8 & 5.9 & 67.8 & 79 \\ Germany & 239.29 & 34.25 & 10,320,000 & 51.5 & 44.9 & 69.09 & 8 & 51,203.6 & 11.02 & 71.4 & 88 \\ Philippines & 379.6 & 72.58 & 160,000 & 28.7 & 24.5 & 24.09 & 3.3 & 3460.5 & 3.3 & 90.8 & 58 \\ Singapore & 869.48 & 47.3 & 330,000 & 63.8 & 41.8 & 83.45 & 3.8 & 72,794. & 3.2 & 42.5 & 89 \\ Turkey & 110.15 & 42.45 & 29,930,000 & 33.4 & 30.9 & 63.21 & 3.3 & 9661.2 & 3.64 & 68.4 & 76 \\ Chile & 25.89 & 38.62 & 190,000 & 49.6 & 34.9 & 79.49 & 3.3 & 16,265.1 & 5.83 & 75.3 & 82 \\ \hline \hline \end{tabular}
\end{table} 
Table 6: Data of countries in 2021.