Descriptive epidemiological methods were used to analyze the epidemiological characteristics of the local cluster of COVID-19 in the logistic park of Yuhang District in Hangzhou in March 2022. The cluster epidemic was detected by a case who actively visited the fever clinic. The epidemic lasted for 8 days, and a total of 58 cases (53 workers, 2 students, 1 farmer, 1 teacher and 1 unemployed) were found, including 40 males and 18 females. The age was (33.29±12.22) years. There cases were mainly in Yuhang District (48 cases, 82.77%) and Shangcheng District (7 cases, 12.07%) of Hangzhou. The real-time regeneration number peaked at 2.31 on March 10 th and decreased to 0.37 on March 15 th. The sequencing result of the indicated case was 100% homologous with the sequence uploaded from South Korea on March 4 th, 2022.

Objective:To understand the characteristics and differences of diarrhea-related symptoms caused by different pathogens, and the clinical features of various pathogens causing diarrhea.Methods:Etiology surveillance program was conducted among 20 provinces of China from 2010 to 2016. The acute diarrhea outpatients were collected from clinics or hospitals. A questionnaire was used to survey demographics and clinical features. VFeces samples were taken for laboratory detection of 22 common diarrhea pathogens, to detect and analyze the clinical symptom pattern characteristics of the patient’s.Results:A total of 38 950 outpatients were enrolled from 20 provinces of China. The positive rates of Rotavirus and Norovirus were the highest among the five diarrhea-causing viruses (Rotavirus: 18.29%, Norovirus: 13.06%). In the isolation and culture of 17 diarrhea-causing bacterial, Escherichia coli showed the highest positive rates (6.25%). The clinical features of bacterial diarrhea and viral diarrhea were mainly reflected in the results of fecal traits and routine examination, but pathogenic Vibrio infection was similar to viral diarrhea. Conclusion:Infectious diarrhea presents different characteristics due to various symptoms which can provide a basis for clinical diagnosis.

Objective:To study the epidemiological and spatio-temporal distribution characteristics of hemorrhagic fever with renal syndrome (HFRS) in Hangzhou City, providing a scientific basis for prevention and control of HFRS.Methods:Data of HFRS cases reported in Hangzhou City from January 1, 2010 to December 31, 2022 were collected through the Infectious Disease Surveillance and Reporting Information System of China Disease Prevention and Control Information System. Descriptive epidemiological methods were used to analyze the prevalence and three-distribution characteristics of HFRS in Hangzhou City. Joinpoint regression was used to analyze the trend of HFRS incidence in Hangzhou City from 2010 to 2022. Global and local spatial autocorrelation were used to analyze the spatial distribution pattern of HFRS and the hotspots of incidence in Hangzhou City. And spatio-temporal scanning was used to analyze the spatio-temporal aggregation areas of HFRS in Hangzhou City.Results:From 2010 to 2022, a total of 224 HFRS cases were reported in Hangzhou City, with an average annual incidence of 0.18/100 000. The distribution of cases showed obvious seasonality, with peak incidence in spring (March to May) and autumn (September to November), accounting for 30.80% (69/224) and 26.34% (59/224), respectively. HFRS cases were reported in all districts (counties, cities) of the city, among which Xiaoshan District (66 cases, 29.46%), Chun'an County (41 cases, 18.30%) and Jiande City (25 cases, 11.16%) ranked the top three. The majority of the cases were individuals aged 31 to 60 (65.18%, 146/224), males (74.55%, 167/224), and farmers (46.43%, 104/224). Joinpoint regression analysis indicated that the overall incidence of HFRS in Hangzhou City was in downward trend from 2010 to 2022 [average annual percent change (AAPC) = - 5.01%, 95% confidence intervals ( CI): - 9.46% to - 0.34%, t = - 2.10, P = 0.036]. Global spatial autocorrelation analysis showed that there was a positive spatial correlation in the incidence of HFRS among various streets (townships) in Hangzhou City from 2011 to 2014, 2018, and 2020 (Moran's I > 0, Z > 1.96, P < 0.05). Local spatial autocorrelation analysis showed that from 2010 to 2022, the number of streets (towns) in hot areas (high-high) in Hangzhou City was 0, 2, 3, 3, 3, 3, 0, 0, 4, 0, 1, 0, and 1, respectively, and was relatively fixed in the southwest districts (counties, cities). Spatio-temporal scan analysis identified three clusters: Cluster I was from August 2011 to January 2015, centered on Fenkou Town in Chun'an County, involving 5 townships in Chun'an County; Cluster Ⅱ-1 was from August 2012 to March 2016, centered on Puyang Town in Xiaoshan District, involving 5 townships in Xiaoshan District; Cluster Ⅱ-2 was from June 2019 to June 2020, centered on Xiaya Town in Jiande City, not involving other streets (townships). Conclusions:From 2010 to 2022, the majority of HFRS cases in Hangzhou City are middle-aged male farmers. The overall trend of HFRS epidemic is decreasing, mainly concentrated in the southwest districts (counties, cities) of Hangzhou City. In the future, precise prevention and control measures should be implemented in key areas and among key populations.

ObjectiveTo investigate the influenza vaccination coverage among kindergarten and primary school children in Zhejiang Province in 2023 and analyze the influencing factors, and to provide the basis for improving the effect of influenza vaccination in children. MethodsA multi-stage random cluster sampling method was used to select 3 681 parents of children from 10 primary schools and kindergartens based on economic level and geographical distribution in Zhejiang Province, who participated in an online questionnaire survey, including basic information about the children and their parents, parents’ knowledge about influenza, and their willingness to vaccination. ResultsAmong the 3 681 parents surveyed, 33.82% (1 245/3 681) reported that their children received influenza vaccination in 2023. Multivariate logistic regression analysis showed that factors contributing to children’s influenza vaccination included both parents [adjusted OR (95%CI): 1.56 (1.32‒1.84)] and children [6.04 (5.04‒7.27)] having a history of influenza vaccination, parents’ conviction the influenza vaccine could protect children from severe diseases [1.43 (1.19‒1.74)], and the willingness of most parents would let their children get vaccinated [1.40 (1.13‒1.74)]. In contrast, vaccine hesitancy among parents [0.55 (0.43‒0.69)] and the belief that influenza is just a common cold [0.80 (0.65‒1.00)] were hindering factors. ConclusionThe influenza vaccination coverage among children is insufficient. Both the vaccination history of parents and children, as well as parents’ correct understanding of influenza and the effectiveness of influenza vaccine, significantly influence the influenza vaccination status in children. Efforts to address vaccine hesitancy and misconceptions about influenza are essential to improve vaccination rates.