Spread and control of COVID-19 in China and their associations with population movement, public health emergency measures, and medical resources

Songmin Ying; Fei Li; Xinwei Geng; Zhouyang Li; Xufei Du; Haixia Chen; Sisi Chen; Min Zhang; Zhehua Shao; Yinfang Wu; Madiha Zahra Syeda; Fugui Yan; Luanqing Che; Bin Zhang; Jian Lou; Shaobin Wang; Zhengming Chen; Wen Li; Ye Shen; Zhihua Chen; Huahao Shen

The copyright holder for this preprint . https://doi.org/10. 1101 secondary cases was calculated as new secondary daily cases divided by the cumulative number of 103 the day before. The lag time between primary and secondary cases was identified by using the 104 displacement with the highest correlation from the cross-correlation result. The daily inflow index of certain provinces and cities was calculated by multiplying the daily outflow 108 index within Hubei and the corresponding proportion. We defined the total inflow index as the sum 109 of daily inflow index from Jan 10 th to 26 th , 2020. We used principal components analysis to reduce 110 the dimensionality of five initial parameters of medical resources, and to further obtain the synthetic 111 score of these parameters 19 . Factor loadings for concordance and overall satisfaction were low and 112 thus were removed. Table 2 shows 4 item factor loadings for the final two-factor solution, which 113 explained 96% of the variance. Medical resource scores equal to comp1*proportion1 plus 114 comp2*proportion2 (Table S2) .