Objective To establish a prediction model for the occurrence of non-occupational carbon monoxide poisoning events in Beijing, and to provide scientific basis and theoretical support for the prevention and warning of poisoning events. Methods Based on the monitoring data of non-occupational carbon monoxide poisoning events in Beijing from 2016 to 2024, the seasonal ARIMA model and seasonal index model were established to analyze the data and predict the occurrence of events. Results Between 2016 and 2024, a total of 436 cases of non-occupational carbon monoxide poisoning were reported in Beijing, showing a downward trend. The established SARIMA model and seasonal index model were SARIMA (1,0,0) (1,1,0) 12, Yt = (-0.0339t+5.8863) × St, and the average relative errors were 65.42% and 29.19%, respectively. In terms of months, the SARIMA model had better predictive performance during April and summer (June to August), while the seasonal index model was superior in other months. By combining the two models, the predicted number of events in 2025 was as follows: 3, 2, 2, 3, 1, 5, 2, 7, 1, 1, 1, and 2. Conclusion The seasonal index model has the best prediction effect on the non-occupational carbon monoxide poisoning events in Beijing throughout the year, and the number of summer events predicted by SARIMA model is closer to the actual values. The two models can be combined to predict the trend of non-occupational carbon monoxide poisoning, which provides a scientific basis for the prevention and control of carbon monoxide poisoning in the future.

Objective:To analyze the temporal distribution characteristics of hand, foot and mouth disease (HFMD) in Beijing and provide reference evidence in HFMD prevention and control.Methods:The monthly incidence data of HFMD in Beijing from 2008 to 2023 were collected from Notifiable Disease Management Information System of the Chinese Information System of Disease Control and Prevention, and the epidemiological characteristics of HFMD were analyzed by the methods of time series seasonal decomposition graph, concentration degree, and circular distribution.The WPS office software 2019 was used to clean the data, Python software 3.12 was used to analyze and make statistical charts.Results:The monthly incidence fluctuation of HFMD in Beijing from 2008 to 2015 was higher than that from 2016 to 2022. From 2016 to 2022, the fluctuation range of monthly incidence showed a gradually decreasing trend.From 2008 to 2015, the concentration ( M) was 0.58, indicating a relatively strong seasonality; the mean angle ( α) calculated by the circular distribution method was 174.95°, and the mean angle standard deviation ( s) was 60.43°. The annual incidence peak occurred on June 27, and the incidence peak period was from April 27 to August 27. From 2016 to 2019 and 2023, the M was 0.57, indicating a relatively strong seasonality. The α was 228.05°, and s was 61.44°. The annual incidence peak occurred on August 20, and the incidence peak period was from June 18 to October 21. From 2020 to 2022, the M was 0.42, indicating a seasonality, the α was 238.27° and s was 76.35°. The annual incidence peak occurred on July 15, and the incidence peak period was from June 14 to November 14. The α of 2008-2015, 2016-2019 and 2023, and 2020-2022 were tested by the Watson-Williams method and the difference was statistically significant ( F=33 443.09, P<0.001). In 2023, the M was 0.77, indicating a strong seasonality. The incidence peak occurred on September 16, and the incidence peak period was from August 5 to October 28. Conclusions:The seasonality of HFMD in Beijing was obvious from 2008 to 2023, and the incidence peak day and peak period overall had rearward shifts. It is necessary to strengthen the comprehensive analysis of the distribution characteristics at different dimensions and the comprehensive prevention and control in key areas, places, and populations during the peak incidence period.

Objective: To analyze the epidemiological characteristics of infectious diseases at schools in Beijing from 2010 to 2020, providing evidence for the prevention and control strategies in school infectious diseases. Methods: Information on public health emergencies was collected from Public Health Emergency Reporting System (the subsystem of Chinese Disease Prevention and Control Information System) reported from 2010 to 2020. Results: A total of 146 public health emergencies and 138 public health emergencies of infectious diseases in schools were reported in Beijing from 2010 to 2020, including 4 291 cases with the rate of 2.32% and affected or exposed 185 179 cases. There were significant difference in mean annual incidence rates( χ 2=782.46, P <0.01). There were 71 events of respiratory infectious diseases and 66 events of intestinal infectious diseases, accounting for 51.45% and 47.83%, respectively. The annual incidence peaks of public health emergencies of infectious diseases were during March-June and October-December. The events mainly occurred in kindergartens and primary schools among each stage of school periods with 51 and 46 incidences respectively, which accounted for 70.29% of the total number of public health emergencies in schools. The leading infectious diseases among all the reported events in kindergartens and primary schools were hand foot mouth disease and varicella. Varicella and other infectious diarrhoeal diseases were at the top lists of infectious disease outbreaks at the secondary and university stages. Conclusion Infectious diseases events were the major type of public health emergencies at schools in Beijing from 2010 to 2020. Respiratory infectious diseases and intestinal infectious diseases were the keys to the prevention and control of public health emergencies related to school. It is necessary to strengthen the surveillance for public health emergencies especially for symptom surveillance. The prevention and control measures should be taken according to the characteristics of different age groups. At the same time, the prevention and control of school infectious diseases and the drill of the plan during peak periods need to be particularly strengthened.

Beijing ; COVID-19 ; Contact Tracing ; Humans ; Risk Factors ; SARS-CoV-2

Objective:In vitro fertilization and embryo transplantation in patients with endometrial implantation window phase of natural killer cell ( uNK ) influence on the endometrial microvascular and uterine artery pulsatility index and embryo implantation.Methods:A retrospective analysis of our hospital from January 2009 to July 2013 the implementation of in vitro fertilization and embryo transfer(IVF-ET) clinical data of 37 patients,according to whether the success of pregnancy and at least 2 times for IVF-ET failure into success group(26 cases)and the failure group(11 cases),compared two groups of research object during the window of implantation in the uterus endometrial uNK cell marker CD56+, uterine artery pulsatility index, vascular endothelial marker F8 factor,alpha smooth muscle actin( alpha SMA) and myosin heavy chain( SMM) and the relationship between the expression of difference.Results:Success group based FSH 3.52±0.68(mU/ml),basal antral follicles of 9.44±2.53 compared with the failure group differences were not statistically significant(P>0.05).The successful group of uNK cells of 27.18±5.94(%),MVD 6.79±1.74 (%) ,αSMA 33.72 ±4.19 (%) , SMM 25.19 ±5.83 (%) were significantly higher than the expression rate of IVF-ET assisted reproductive failure group(P<0.05).The number of uNK cells,the proportion of endometrium during the window of implantation and MVD of 37 patients withαSMA and SMM coloring cell number proportion were positive correlation significantly( r=0.472,P=0.000<0.005),(r=0.426 ,P=0.000<0.005),(r=0.512,P=0.000<0.05).Success group during the window of implantation in the uterine artery PI=0.94±0.28,PI=0.87±0.29 failure group,differences between the two groups was not statistically significant(t=0.688,P=0.493>0.05).Conclusion:During the window of implantation in the endometrium of natural killer cells and endometrial angiogenesis was significantly associated with successful pregnancy, may have a certain relationship;uterine artery PI and pregnancy outcome successful has no obviously relationshhip.

Objective:To evaluate and screen the anti-atrial ifbrillation drug with multiion channel targets by micro-electrode chip technology in a rapid atrial pacing (RAP) rabbit model.
Methods:A total of 32 rabbits were randomly divided into 4 groups, n=8 in each group. Potassium channel blocker (TEA) group, Potassium channel blocker (BaCl2) group, Potassium channel blocker (CdCl2) group and Amiodarone group.
The electrode was inserted into right atrium via internal jugular vein with rapid right atrial pacing (600 beat/min) and the effect of each anti-atrial ifbrillation drug on ifeld action potential (fAPD) were measured in different groups.
Results:With 24 hour RAP, the fAPD was prolonged from (176.67 ± 8.66) ms to (196.11 ± 10.76) ms, P=0.012 in TEA group;from (182.22 ± 12.87) ms to (191.11 ± 13.09) ms, P=0.039 in BaCl2 group;from (178.33±7.85) ms to (206.67 ± 9.70) ms, P=0.0015 in CdCl2 group;from (167.38 ± 13.67) ms to (185 ± 15.14) ms, P=0.002 in Amiodarone group.
Conclusion: RAP induced atrial fibrillation in experimental rabbit model is a simple and feasible method for screening the anti-atrial fibrillation drugs, combining with micro-electrode chip technology, it might be used for developing the new product.

OBJECTIVE:To provide the reference for improvement in patient's compliance with medication and the quality of drug-therapy.METHODS:Patients' compliance with medication was investigated and the related items were statistically analyzed.RESULTS & CONCLUSION:Low awareness of the detailed content and significance of the drug-therapy existed among the patients.Pharmaceutical care must be improved and the function of pharmacists must be strengthened.