Abstract:Objective To understand the incubation period of coronavirus disease 2019 (COVID-19), and to analyze whether there are differences in the incubation period of cases with different ages, genders and clinical types. Methods We selected 53 patients with a clear history of single-source and one-time exposure in the clustering epidemic. The median, mode, interquartile range and circular distribution methods were used to calculate the incubation period. Chi-square test was employed to analyze whether there were differences in the incubation period among cases with different epidemiological characteristics. Results Among the 53 patients, the shortest incubation period was 0 days, while the longest incubation period was 18 days. Among them, 50 patients had an incubation period of 14 days, accounting for 94.34%. The median incubation period was 8.5 days, and the mode was 12 days. The incubation period estimated by the interquartile range and the circular distribution method was 8 and 4.35 days, respectively (Z=1.83, P>0.05). There were no differences in the incubation period among cases with different ages, genders and clinical types. Results Calculating the incubation period with different methods is slightly different, but all are within 14 days. There is no effect of age, gender, clinical type and other factors on the length of the incubation period.
叶莹, 范威, 王文华, 李军, 王海峰, 潘静静, 黄学勇. 新型冠状病毒肺炎潜伏期分析[J]. 实用预防医学, 2021, 28(2): 129-131.
YE Ying, FAN Wei, WANG Wen-hua, LI Jun, WANG Hai-feng, PAN Jing-jing, HUANG Xue-yong. Incubation period of COVID-19. , 2021, 28(2): 129-131.
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