The impact of COVID-19 on plastic and reconstructive surgery in China: A single-centre retrospective study.

BACKGROUND: This study aimed to investigate the volume of plastic surgery operations in a large public hospital and figure out the changes in the related factors associated with Coronavirus Disease 2019 (COVID-19) and identify the potential problems. METHODS: We created a survey and collected clinical data from 1 January 2018 to 31 December 2020. Information on procedure time, patient gender, patient age, and procedure type was collected from the database. The data were analysed using IBM SPSS Statistics for Windows, version 25.0. RESULTS: A total of 10,827 patients were admitted to our department. The total number of patients decreased by 21.53% in 2020 (3057 cases) than the same period in 2019 (3896 cases). The total number of aesthetic procedures decreased by 34.17% in 2020 than that in 2019. However, restorative procedures in 2020 (2013 cases) only decreased by 12.86% than that in 2019 (2310 cases). The percentages of women amongst patients who underwent aesthetic procedures were 91.75%, 92.18%, and 90.71% in 2018, 2019, and 2020, respectively. Most of the patients in these three years were aged 20-29 years. CONCLUSIONS: The plastic surgery industry is experiencing the effects of the unprecedented COVID-19 pandemic worldwide. COVID-19 was quickly brought under control, and the plastic surgery industry developed rapidly in China because of the active, timely, and accurate implementation of epidemic prevention strategies.

Incubation period of coronavirus disease 2019: new implications for intervention and control.

The COVID-19 pandemic has been causing serious disasters to mankind. The incubation period is a key parameter for epidemic control and also an important basis for epidemic prediction, but its distribution law remains unclear. This paper analyzed the epidemiological information of 787 confirmed non-Wuhan resident cases, and systematically studied the characteristics of the incubation period of COVID-19 based on the interval-censored data estimation method. The results show that the incubation period of COVID-19 approximately conforms to the Gamma distribution with a mean value of 7.8 (95%CI:7.4-8.5) days and a median value of 7.0 (95%CI:6.7-7.3) days. The incubation period was positively correlated with age and negatively correlated with disease severity. Female cases presented a slightly higher incubation period than that of males. The proportion of infected persons who developed symptoms within 14 days was 91.6%. These results are of great significance to the prevention and control of the COVID-19 pandemic.