ABSTRACT
Objective@#To analyze the epidemiological characteristics of coronavirus disease 2019 ( COVID-19 ) in Shaoxing from January 23 to March 31, 2020, so as to provide basis for the prevention and control of COVID-19.@*Methods@#The information of the COVID-19 cases in Shaoxing were collected from the National Diseases Prevention and Control Information System and the field investigation by CDCs. A descriptive analysis was used for the epidemiological characteristics, including time, spatial and population distribution, clinical features and exposure history. @*Results@# Totally 42 confirmed cases of COVID-19 were reported by March 31, without deaths. The first case was reported on January 23 and the last one was on February 13. The onset of cases peaked in mid-to-late January. All the counties ( cities or districts ) had confirmed cases, 14 cases were reported in Yuecheng District. Twenty-five ( 59.52% ) cases were 45 years old or over. Thirteen ( 30.95% ) cases were engaged in business and eight ( 19.05% ) cases were unemployed. No cases were found among medical staff. The main clinical symptoms were fever, dry cough, fatigue and imaging features of pneumonia, with nine ( 21.43% ) severe cases and three ( 7.14% ) critical cases. There were 34 ( 80.95% ) imported cases, who mainly came from Hubei Province. Totally 1 955 close contacts were tracked down, among whom 4 cases were confirmed, with the infection rate of 0.20%.@*Conclusions@#The COVID-19 cases reported in Shaoxing were mainly aged 45 years or over, severe and imported from Hubei Province. There was no continuous transmission in the community, and no infection in medical staff or deaths.
ABSTRACT
BACKGROUND: To test the independent and interactive associations of physical activity (PA) and body mass index (BMI) with age at menarche among Chinese adolescence. METHODS: We conducted a cross-sectional survey in two elementary schools in September 2015 in Shaoxing city, Zhejiang province, China. We used self-administered questionnaires to collect the information of the participators. Analyses were performed with logistic regression models, and the relative excess risk due to interaction (RERI), the attributable proportion because of the interaction (AP), and the synergy index (S) were used to evaluate the biological interaction. RESULTS: A total of 1530 middle school students from grade 1-3 were selected for this study, and we collected 1505 (98.366%) valid questionnaires for the last analyses. The mean age of menarche is 11.603 (SD=0.447)years. Students with overweight/obesity and without SMPA had the highest risks of early age of menarche (OR=3.507, 95%CI: 1.929-6.376) compared with women both with a normal BMI and with SMPA, and the RERI was 1.846 (95% CI: 0.415-4.107), meaning that there was positive interaction on the additive scale. CONCLUSION: Insufficient PA can significantly modify the association between obesity and early menarche risk. Therefore, the government and society should pay more attention to the promotion of PA throughout childhood and adolescence.
