Objective: To investigate the trend of hepatitis B incidence among children under 10 years in Zhejiang Province from 2004 to 2020 with age, period and birth cohort, so as to provide the basis for evaluating the implementation of hepatitis B prevention and control measures for children in Zhejiang Province. Methods: Data of hepatitis B incidence among children under 10 years in Zhejiang Province from 2004 to 2020 were collected through the Infectious Disease Reporting Information System of Chinese Disease Prevention and Control Information System. The trend in hepatitis B incidence was analyzed using an age-period-cohort model. Results: The incidence of hepatitis B among children under 10 years in Zhejiang Province decreased from 12.91/105 in 2004 to 0.61/105 in 2020, with a reduction of 95.24%. The incidence showed an decreasing trend with the increase of age. Compared with 2012, the risk of hepatitis B incidence among children under 10 years appeared a tendency towards a decline with time, with the period rate ratio decreased from 4.546 (95%CI: 3.322-6.220) in 2004 to 0.277 (95%CI: 0.161-0.478) in 2020. Compared with the 2008 cohort, the risk of hepatitis B incidence appeared a tendency towards a decline with cohort, with the cohort rate ratio decreased from 25.535 (95%CI: 15.105-43.166) in 1995 to 0.135 (95%CI: 0.038-0.475) in 2020. Conclusions The incidence of hepatitis B among children aged under 10 years in Zhejiang Province from 2004 to 2020 showed a downward trend. The risk of hepatitis B incidence decreased with increasing age and advancing birth cohort.

Objective: To investigate the factors affecting cataract among the elderly, so as to provide insights into cataract control. Methods: Based on the major public health monitoring project of Zhejiang Province, residents at ages of 60 years and older were selected from 7 districts (counties) using a multi-stage stratified cluster random sampling method, and were followed up every other year from 2014 to 2020. Demographics, lifestyle, dietary habits and cataract incidence were collected, and factors affecting the incidence of cataract were identified using a multivariable Cox proportional hazard regression model. Results: Totally 9 642 residents were investigated, with a mean age of (68.89±7.39) years, and including 4 635 males (48.07%). There were 828 incident cataract cases, with an incidence rate of 20.946/1 000 person-years. Multivariable Cox proportional hazard regression analysis showed that women (HR=1.695, 95%CI: 1.377-2.088), age of 65 years and older (HR=1.707-5.044, 95%CI: 1.400-7.327), overweight/obesity (HR=1.313, 95%CI: 1.131-1.524), educational level (primary school, HR=1.642, 95%CI: 1.400, 1.926; junior high school, HR=1.553, 95%CI: 1.148-2.102), annual family income (10 000 to 50 000 Yuan, HR=1.353, 95%CI: 1.155-1.585; 50 000 to 100 000 Yuan, HR=0.663, 95%CI: 0.500-0.881; 100 000 to 150 000 Yuan, HR=0.340, 95%CI: 0.204-0.565), smoking (HR=0.649, 95%CI: 0.494-0.853), frequency of vegetable intake of >3 days/week (HR=0.693, 95%CI: 0.527-0.912), frequency of fruit intake of >3 days/ week (HR=0.833, 95%CI: 0.694-0.899), frequency of egg intake of >3 days/week (HR=0.579, 95%CI: 0.450-0.745), frequency of soy products intake of >3 days/week (HR=0.706, 95%CI: 0.588-0.849), frequency of dairy products intake of >3 days/week (HR=1.510, 95%CI: 1.199-1.901) and frequency of nut intake of >3 days/week (HR=1.733, 95%CI: 1.162-2.586) were statistically associated with the development of cataract among the elderly. Conclusion Gender, age, body mass index, educational level, income, smoking, and frequency of vegetables, fruits, eggs, soy products, dairy products and nuts intake are associated with the development of cataracts.

Objective: To examine the effect of dietary behaviors on handgrip strength loss among the elderly, so as to provide insights into the prevention of handgrip strength loss. Methods : Based on the health surveillance cohort among the elderly in Zhejiang Province, two villages or communities were randomly sampled from each of Shaoxing and Zhoushan cities using a multi-stage cluster sampling method, and all residents that had lived in local areas for one year and longer and had an age of 60 years and older were enrolled. Participants' demographics, dietary behaviors, smoking, drinking, and exercise were collected through questionnaire surveys, and the height, body weight and handgrip strength were measured. The handgrip strength loss was diagnosed according the 2019 Consensus Update on Sarcopenia Diagnosis and Treatment proposed by Asian Working Group for Sarcopenia, and the effect of dietary behaviors on handgrip strength loss was examined using a multivariable logistic regression model. Results: A total of 1 265 residents were enrolled, with a mean age of (70.67±7.30) years, and including 565 men (44.66%) and 700 women (55.34%). The overall prevalence of handgrip strength loss was 42.85% among the participants, and the prevalence was 40.35% in men and 44.86% in women, respectively. Multivariable logistic regression analysis showed that nut intake for 1 to 3 times a week (OR=0.180, 95%CI: 0.088-0.367) and for 4 to 6 times a week (OR=0.241, 95%CI: 0.113-0.514) led to a reduced risk of handgrip strength loss among the elderly, and intake of sugary drinks for 4 to 6 times a week led to an increased risk of handgrip strength loss among the elderly (OR=2.298, 95%CI: 1.120-4.714) after adjustment for age, body mass index, educational level and exercise. Conclusion Intake of nuts and sugary drinks may affect the development of handgrip strength loss among the elderly.

Objective: To examine the associations of fibroblast growth factor 19 (FGF19), its co-receptor KLB gene and its receptor FGFR4 with susceptibility to sarcopenia, so as to provide insights into elucidation of sarcopenia pathogenesis and formulation of precision interventions for sarcopenia. Methods: A case-control study was conducted. Patients with sarcopenia at ages of 60 years and older included in the Zhejiang Provincial Elderly Health Surveillance Cohorts were selected as the sarcopenia group, and normal residents at ages of 60 years and older were served as controls. Subjects' demographics were collected using questionnaire surveys, and the height, body weight, appendicular skeletal muscle mass and grip strength were measured. Genomic DNA was extracted from blood samples for multiplex PCR targeted capture. The associations between the KLB gene single-nucleotide polymorphisms (SNPs) and susceptibility to sarcopenia were evaluated using multivariable logistic regression models. Results: There were 200 cases in the sarcopenia group, including 91 men and 109 women, and 180 cases in the control group, including 70 men and 110 women. All SNPs satisfied the Hardy-Weinberg equilibrium, and the minor allele frequencies were all > 0.05. There were no significant differences in the distribution of SNPs between the sarcopenia and control groups (all P>0.05). Multivariable logistic regression analysis showed that the SNP rs2687968 locus in the KLB gene was significantly associated with the susceptibility to sarcopenia among the elderly men (superdominant model), and individuals carrying the AC allele had a 2.332-fold higher risk of sarcopenia than those carrying the AA/CC allele (95%CI: 1.882-3.313). Conclusions KLB gene may correlate with the susceptibility to sarcopenia among the elderly men.

Objective : To build a model for influenza-like illness（ILI）prediction based on Elman neural network and to provide evidence for early warning of influenza epidemic in Zhejiang Province. Methods : The data of ILI from 11 sentinel hospitals,influenza pathogen detection,meteorological factors and air pollutants in Zhejiang Province from 2013 to 2014 were collected. Time-delay correlation analysis was conducted to select variables for modeling. Based on Elman neural network,data from the 14th week of 2013 to the 44th week of 2014 were used as a training set to establish the model and the data from 45th week to 52nd weeks of 2014 were used as a test set for the model performance. Results : There were ILI reported every week during 2013 and 2014,with a total of 506 391. The percentage of ILI cases per week was（3.07 ± 0.73）%. Ten variables selected by time-delay correlation analysis were the weekly average values of atmospheric pressure（13 weeks in advance）,vapor pressure（11 weeks in advance）,temperature（9 weeks in advance）,SO2（5 weeks in advance）,NO2（5 weeks in advance）,CO（5 weeks in advance）,PM2.5（5 weeks in advance）,PM10（5 weeks in advance）,air quality index（5 weeks in advance）and positive rate of pathogen（1 weeks in advance）. Elman neural network（10-15-1-1）was selected as the optimal model,and the prediction performed well,with 10.58% as the mean error rate and 0.876 7 as the nonlinear correlation coefficient. Conclusion This study demonstrated that Elman neural network including variables of meteorological factors,air pollutants and the positive rate of pathogen performed well on the short-term prediction of ILI incidence.

Objective: To study the mechanism of Heshi-Gejiugao on the nerve endocrine immune network in the treatment of perimenopausal syndrome. Methods: A total of 100 patients with perimenopausal syndrome were randomly divided into treatment group and control group, 50 cases in each group. The control group was only given general treatment, while the treatment group was treated with Heshi-Gejiugao on the basis of general treatment for 30 days. The clinical efficacy, Kupperman score, nerve, endocrine and immune related indexes of the two groups before and after treatment were observed. Results: The total effective rate was 96.0% (48/50) in the treatment group and 50.0% (25/50) in the control group. There was significant difference between the two groups (χ²=37.639, P<0.01). The Kupperman score (17.52 ± 2.73 vs. 24.22 ± 6.87, t=6.409) in the treatment group was significantly lower than that in the control group (P<0.01). After treatment, NE (1 878.08 ± 931.57 ng/m vs. 1 278.43 ± 866.32 ng/ml, t=3.331), DA (1 568.56 ± 597.15 ng/ml vs. 1 183.62 ± 798.72 ng/ml, t=2.729) in the treatment group were significantly higher than those in the control group (P<0.05); E₂ (42.12 ± 9.77 pg/ml vs. 35.91 ± 12.55 pg/ml, t=2.761), FSH (62.70 ± 15.96 mIU/ml vs. 72.67 ± 30.18 mIU/ml, t=2.065), LH (33.88 ± 12.18 mIU/ml vs. 42.93 ± 9.83 mIU/ml, t=4.089) were significantly lower than those of the control group (P<0.05). CD3⁺ (1 087.34/μl ± 432.19/μl vs. 918.27/μl ± 199.72/μl, t=2.511), CD4⁺ (738.16/μl ± 326.75/μl vs. 588.43/μl ± 212.55/μl, t=2.716) and CD4/CD8 (1.87 ± 0.56 vs. 1.16 ± 0.55), t=6.483) were significantly higher than those of the control group (P<0.05); CD8⁺ (788.32/μl ± 214.56/μl vs. 976.37/μl ± 318.62/μl, t=3.462) was significantly lower than that of the control group (P<0.05). Conclusions Heshi-Gejiugao can reduce the symptoms and improve the quality of life by regulating the multi target and multi direction of the neuroendocrine immune network of perimenopausal patients.

Objective:To investigate the epidemiological characteristics of COVID-19 caused by 2019-nCoV Delta variant in Shangyu district, Shaoxing of Zhejiang province in 2021, and provide evidence for the improvement of COVID-19 control and prevention measures.Methods:The incidence data of COVID-19 in Shangyu from December 7 to 21, 2021 was obtained from Shangyu District Center for Disease Control and Prevention. The epidemiological characteristics of the cases, i.e. the population, time and space distributions, were analyzed, and the incubation period and time-varying reproduction numbers ( R t) were calculated. Results:From December 7 to 21, 2021, a total of 380 COVID-19 cases caused by 2019-nCoV Delta variant were detected in Shangyu, the median age of the cases was 52 years, M ( Q1，Q3: 38, 61). The male to female ratio of the cases was 1∶1.25, and the cases were mainly workers (36.58%) and farmers (27.63%). The epidemic affected 9 townships (or community) of Shangyu, especially Caoe and Baiguan communities with the cases accounting for 57.10% and 31.53% respectively. The median incubation period of cases was 4.00 days, M ( Q1，Q3: 3.00, 5.75). The basic reproduction number ( R0) was 4.06, and the R t was 5.62 in early phase of the outbreak (the highest) and continuously decreased to less than 1.00 within 10 days after the detection of the outbreak. The number of COVID-19 cases decreased to 0 within 14 days after the outbreak (December 7-21), and the main detection methods were screening in centralized isolation (55.53%) and home isolation (40.00%). The infection rates of close contacts and secondary close contacts were 2.06% and 0.46% respectively. Conclusion:The epidemic of COVID-19 in Shangyu characterized by short incubation period, large number of infected people, and case clustering, suggesting the strong transmission of Delta variant (B.1.617.2). Comprehensive prevention and control measures, such as management of close contacts and secondary close contacts, and high-risk area, are essential for the rapid control of the epidemic.

OBJECTIVETo assess the risk of local outbreaks of H7N9 avian influenza infection in Zhejiang province and to explore the semi-quantitative assessment method for public health risks in emergency.

METHODSRisk index system of human infection with H7N9 avian influenza caused by local transmission were reviewed. The weights of indexes were calculated by analytic hierarchy process, which was combined with the TOPSIS method to calculate the risk comprehensive index.

RESULTSFour primary indexes and 23 secondary indexes were identified for risk assessment in local outbreaks of H7N9 avian influenza infection. The weights ranked on the top five were:morbidity (0.0972), closure measures (0.0718), sterilization measures (0.0673), fatality rate (0.0651), and epidemic spread (0.0616). The comprehensive index of the risk of local outbreaks of H7N9 avian influenza ranged from high to low were Hangzhou (0.5910), Shaoxing (0.5711), Jiaxing (0.5199), Taizhou (0.5198), Huzhou (0.4662), Ningbo (0.3828), Wenzhou (0.3719), Jinhua (0.3392), Lishui (0.2727), Quzhou (0.2001) and Zhoushan (0.0508).

CONCLUSIONSA semi-quantitative method has been established in this study, which provides scientific basis for prevention and control of H7N9 avian influenza epidemic in Zhejiang province.

Animals ; Birds ; China ; Humans ; Influenza A Virus, H7N9 Subtype ; Influenza in Birds ; transmission ; Influenza, Human ; transmission ; Risk Assessment

OBJECTIVETo identify and assess the potential public health risks of emergency events of infectious disease in the surrounding areas of Hangzhou during the 11th G20 summit, and to assess their impacts on the G20 summit.

METHODSThe surrounding cities of Hangzhou included Ningbo, Wenzhou, Jiaxing, Huzhou, Shaoxing, Jinhua, Quzhou, Zhoushan, Taizhou and Lishui. Background information on infectious diseases in Zhejiang province was collected, and the brainstorming and expert consultation methods were used to identify the risks. The local risks and the impact of local risks on the G20 summit were assessed.

RESULTSThe criteria for public health risk was first established. Through the assessments,a total of 27 kinds of infectious diseases in 4 types of public health risks were identified. The impact of these risks on Hangzhou G20 summit was divided into 1 item of high-risk, 12 items of medium risk and 14 items of low risk.According to the results of risk assessment, the recommendations for risk management of respiratory infectious diseases, intestinal infectious diseases, imported infectious diseases like Middle East respiratory syndrome and other infectious diseases were made. With risk management, Middle East respiratory syndrome was not occurred during the G20 summit, and the epidemic situation of other infectious diseases with middle or low risks was almost the same with that of past years.

CONCLUSIONSsThe public health risks of Hangzhou G20 summit from sudden infectious diseases in outlying areas are mainly medium and low risks. The recommendations on risk management provide a basis for reducing the adverse consequences of public health risks in the event of an outbreak of infectious diseases, avoiding the impact of various risk factors in the outlying areas on G20 summit.

Communicable Diseases ; Emergency Medical Services ; Humans ; Risk Assessment