Objective: To analyze the incidence of statutory and keymonitored infectious diseases among school students in Beijing from 2016 to 2020, so as to provide a reference for developing the prevention and control of infectious diseases in schools. Methods: A descriptive statistical analysis was conducted on student cases aged 6-22 years in Beijing from 2016 to 2020 selected from the China Disease Surveillance Information Reporting Management System. Rate comparisons were performed using the 2 test and trend 2 test. Results: From 2016 to 2020, the overall incidence of statutory and keymonitored infectious diseases among students in Beijing showed an upward trend (χ2trend=582.42), the incidence rates of Category B and other infectious diseases exhibited a downward trend (χ2trend=82.71, 18.34), while Category C infectious diseases demonstrated a significant upward trend (χ2trend=911.75) (P<0.01). Among Category B infectious diseases, scarlet fever, bacillary dysentery, tuberculosis, and HIV/AIDS were predominant, with annual average incidence rates of 61.33/100 000, 35.38/100 000, 13.88/100 000, and 3.78/100 000, respectively. Except for HIV/AIDS, the reported incidence rates of other infectious diseases showed a declining trend. Among Category C infectious diseases, influenza, other infectious diarrhea, hand-foot-mouth disease, and mumps were predominant, with annual average incidence rates of 956.13/100 000, 114.39/100 000, 111.37/100 000, and 28.24/100 000, respectively. Influenza showed a significant upward trend (χ2trend=1 508.30), while the other infectious diarrhea, hand-foot-mouth disease, and mumps exhibited a downward trend (χ2trend=13.84, 25.78, 6.13) (P<0.05). Among other infectious diseases, varicella was predominant (χ2trend=17.47, P<0.05). Scarlet fever, influenza, hand-foot-mouth disease, and mumps had higher incidence rates among primary and middle school students; other infectious diarrhea and varicella were more prevalent among high school students; tuberculosis and bacillary dysentery were more common among high school and college students; and HIV/AIDS had higher incidence rates among college and high school students. Conclusion From 2016 to 2020, the incidence of Category B infectious diseases among students in Beijing showed a declining trend, while influenza, a Category C infectious disease, exhibited a significant upward trend.

Objective: To investigate the levels of knowledge and skills in infectious diseases among school doctors and health teachers in Beijing s primary and secondary schools in 2023, and analyze the influencing factors, so as to provide a reference basis for enhancing the professional competencies of school doctors and health teachers. Methods: From October to November 2023, a census method was used to conduct a questionnaire survey among all school doctors and health teachers in 16 districts of Beijing. Chi-square tests and multivariate Logistic regression analysis was used perform statistical analysis. Results: The awareness rate of infectious diseaserelated knowledge among school doctors and health teachers in primary and secondary schools in Beijing in 2023 ranged from 34.44 % to 98.57%, while the behavior formation rate ranged from 65.90% to 98.64%. The proportions of those with literacy in infectious disease knowledge and behavior among school doctors and health teachers were 82.76% and 85.70%, respectively. Multivariate Logistics regression analysis showed that being a full-time employee, having a bachelor s degree or above, and holding a senior professional title were positively correlated with having literacy in infectious disease knowledge ( OR =1.76, 2.57, 1.42 , P <0.01). Compared to medical professionals, those in education and other professions were negatively correlated with having literacy in infectious disease knowledge ( OR =0.37, 0.55, P <0.01). Being a full-time employee, being female, and age were positively correlated with having literacy in infectious disease behavior ( OR =1.66, 2.18, 1.02, P <0.01). Conclusions The level of health literacy for infectious diseases among school doctors in Beijing primary and secondary schools is relatively high. Targeted training on key professional knowledge and skills should be prioritized for individuals with deficiencies in infectious disease prevention and control.

Objective: To investigate the knowledge and practice levels on infectious disease among primary and middle school students, so as to provide a basis for targeted infectious disease in health education and infectious disease prevention and control in schools. Methods: The stratified cluster random sampling was used to select 25 670 primary and middle school students from 6 urban area and 10 suburban area in Beijing from October to November in 2020. A questionnaire survey on knowledge and practice of students related to infectious disease prevention and control was conducted using the questionnaire compiled by the Chinese Center for Disease Control and Prevention. Chisquare test was used for group comparison. Results: During the past two weeks, 8.64% students reported sickness absence. The awareness rates of knowledge on infectious disease were 37.64%-93.56%, and the formation rates of practice on infectious disease were between 62.22%-98.74%. The overall awareness rate of knowledge on infectious diseases was 58.58%, and the overall formation tate of practice on infectious disease prevention was 78.19%, with boys (54.14%,73.67%) lower than girls (63.25%,82.94%),urban areas (62.88%,79.12%) higher than suburbans areas (55.30%,77.48%), vocational high school studengs (43.51%,68.13%) lower than nonvocational high school students (elementary school: 56.05%, 85.19%; middle school: 61.66%, 78.63%; high school: 66.72%, 72.77% ), residential students (55.21%,71.59%) lower than nonresidential students (59.32%,79.64%), students living with parents (59.22%,79.30%) higher than those not with parents (54.60%,71.34%), and the differences were statistically significant (χ2=219.08, 148.95, 514.34, 26.44, 27.12; 323.26, 9.91, 536.11, 144.32, 114.11, P<0.05). Conclusions The levels of knowledge and practice regarding relative infectious disease among primary and middle school needs to be improved. Health education on the weak links in knowlege and practice of infectious disease prevention and control should be strengthened to reduce the incidence and transmission of infectious diseases.

Abstract Flood disasters are the common public health emergencies, mainly leading to environmental damage, water pollution, food pollution, vector breeding, infectious disease epidemic and other risk factors of sanitary and anti epidemic work. The guideline has been formulated with reference to the technical documents such as Guideline for Environmental Sanitation Disposal and Preventive Disinfection in Flooded Areas and Technical Proposal for Sanitary and Anti epidemic Measures after Flood Disasters, as well as the latest research progress at home and abroad. In order to guide the sanitary and anti epidemic measures in flooded areas, protect the health and safety of students and teachers and ensure the normal educational and teaching order, the guideline introduces the key measures that should be taken by schools, teachers and students in flood striken areas.

Objective:To analyze the epidemiological characteristics and transmission chain of an epidemic of COVID-19 in Haidian district, Beijing.Methods:Descriptive epidemiological method was used to analyze the epidemiological characteristics of the epidemic, and field investigation and big data technology were used to analyze the transmission chain of the epidemic.Results:From April 27 to May 13, 2022, an epidemic of COVID-19 occurred in Haidian district. The strains isolated from the cases were identified by whole genome sequencing as Omicron variant (BA.2.2 evolutionary branch). A total of 38 infection cases were detected, including 34 confirmed cases and 4 asymptomatic cases. Most cases were mild ones (88.2%), no severe, critical or death cases occurred. The early clinical symptoms were mainly sore throat (50.0%) and cough (29.4%). The epidemic lasted for 17 days, resulting in 7 generations of the cases and involving 3 community transmissions, 2 working place transmissions and 8 family transmissions; the main infection routes were co-residence (47.6%) and co-space exposure (31.6%). The intergenerational interval M( Q1, Q3)was 3 (1, 6) days. The overall secondary attack rate was 1.5% (37/2 482), and the family secondary attack rate was 36.7% (18/49). Conclusions:The cases in this COVID-19 epidemic caused by Omicron variant had mild clinical symptoms, but the case clustering in families and communities was obvious, the transmission was rapid, and the risk for co-space exposure was high. It is necessary to use information technology to identify close contacts in the local population for the rapid and effective blocking of the epidemic spread.

COVID-19 ; China/epidemiology* ; Disease Outbreaks ; Humans ; SARS-CoV-2

Objective:To analyze epidemiological characteristics of influenza in Beijing during 2015—2020 influenza seasons.Methods:Weekly numbers of cases with influenza-like illness and weekly data of virologic surveillance was used to analyze epidemic trend and characteristics of influenza.Results:From June 26, 2015 to June 28, 2020, influenza-like illness (ILI) was 1.58%. A total of 49868 pharyngeal swab samples were collected from ILI cases, and positive rate of influenza virus nucleic acid was 16.32% by real-time PCR. Of these positive samples, 40.89% (6 474) were A(H3N2), 27.86% (4 410) were A (H3N2), 20.78% (3 290) were B/Victoria lineage, and 10.09%(1597) were B/Yamagata lineage. There were correlation between ILI and positive rate of influenza virus ( r=0.796, P<0.001), and ILI percentage and positive rate were also correlated ( r=0.808, P<0.001). The active duration in 2018—2018, 2018—2019 influenza seasons were longer. Weekly numbers of influenza-like illness cases of 2017—2018, 2018—2019 influenza seasons were higher (49 628 and 71 555), peak value of positive rate in the above seasons was higher (58.51% and 57.08%). Conclusions:The epidemic characteristics of influenza during 2015—2020 years was in accordance with the temperate regions of the northern hemisphere. There were longer active period and higher epidemic level in 2017—2018, 2018—2019 influenza seasons. The dominant influenza virus subtypes varied in the different seasons.

Objective:To analyze the relationship between the cycle threshold ( Ct) values of N gene of COVID-19 cases and the secondary attack risk in close contacts, and identify the relationship between respiratory viral load and infectivity in COVID-19 cases. Methods:The COVID-19 cases with records of Ct values of N gene within 0-7 days of onset were selected, and their close contacts were recruited as the subjects of study. We collected the information of close contacts, including name, gender, age, isolation mode, exposure mode and outcome (whether they were infected with SARS-CoV-2 or not) and other variables. Multivariate logistic regression models were used to identify the relationship between Ct values of N gene of COVID-19 cases and secondary attack risk in close contacts. Results:A total of 1 618 close contacts were recruited, in whom 77 were confirmed as symptomatic or asymptomatic COVID-19 patients with overall secondary attack rate of 4.8%. The multivariate logistic regression analysis indicated that eating together ( OR=2.741, P=0.054), living together ( OR=9.721, P<0.001), non-centralized isolation ( OR=18.437, P<0.001) and COVID-19 case's values of N gene within 0-7 days of onset being <20 ( OR=8.998, P=0.004) or 20-25 ( OR=3.547, P=0.032) were significantly associated with higher likelihood of being infected with SARS-CoV-2 in close contacts. Conclusion:The results indicated that positive relationship exists between respiratory viral load and infectivity in COVID-19 cases, suggesting that Ct values of N gene can be used as an early warning indicator for the management of close contacts of COVID-19 cases.

Objective To calculate both the epidemic and intensity thresholds for different levels in Beijing and to establish a tiered alert system in the 2018-2019 influenza season as well as to evaluate the performance of calculated thresholds.Method Weekly count of influenza-like illness and percentage of influenza-like illness (ILI％) of the last five influenza seasons were modeled by 'moving epidemic method'(MEM) to calculate the influenza epidemic and intensity thresholds at different levels.A cross-validation procedure was used to evaluate the performance.Indicators of Matthew correlation coefficient,Youden's index,sensitivity and specificity were calculated.Results For weekly count of influenza-like illness,data showed that the epidemic threshold for 2018-2019influenza season was 12 984 and the medium,high and very high intensity thresholds were 22 503,37 589,47 157,respectively.Matthew correlation coefficient of the epidemic threshold was 62％ and youden's index as 60％,sensitivity as 69％,specificity as 91％.Data on weekly ILI％,the epidemic threshold for 2018-2019 influenza season was 1.66％,with medium,high and very high intensity thresholds as 2.46％,3.84％ and 4.66％,respectively.The overall Matthew correlation coefficient of the epidemic threshold was 59％,with 54％ for the Youden's index,sensitivity as 60％ and specificity as 94％.Conclusions MEM produced a good specific signal for detecting the influenza epidemics and the accuracy of the method was acceptable.The early warning performance regarding the application of weekly count on influenza-like illness was slightly better than ILI％.This method could be applied in the practical influenza epidemic alert "work in Beijing".

As an emerging infectious disease, the COVID-19 threatened the safety of personnel in the prevention and control during the COVID-19 pandemic. Beijing Association of Preventive Medicine organizes the Beijing CDC and other organizations drafted the group standard entitled "Guidelines for personal protection against coronavirus disease 2019 for diseases control person (T/BPMA 0002-2020)" , according to years of scientific research on personal protection. Based on the principles of emphasizing the scientific, normative and safe nature, the standard was drafted to put forward the reasonable selection and correct use of personal protective equipment for disease control personnel, as well as the procedures for personal protective equipment. The standard provided a standardized basis for ensuring the safety of disease control personnel in contacting and handling of the new coronary pneumonia outbreaks with high risks.