To analyze the epidemiological characteristics of COVID-19 in Fujian Province from the 49th week of 2022 to the 5th week of 2023,after further optimization of China's COVID-19 prevention and control measures on December 7,2022(the 49th week of 2022),this study used multi-dimensional surveillance data to dynamically assess population infection levels and their changing trends.The aim of the study was to provide a scientific basis for early warning of epidemic risk,medical resource allocation,and evalu-ation of socio-economic impact.A multi-source data surveillance system was constructed,encompassing surveillance of fever clinics at medical institutions(weekly collection of visits,positive nucleic acid and antigen test results,inpatients,and severe cases in sec-ondary or above hospitals),population nucleic acid test monitoring(weekly person-times and positivity rates of single-tube tests from the provincial system),sentinel hospital monitoring(weekly proportion of influenza-like illness visits at 18 sentinel hospitals and re-lated viral testing data),and monitoring of novel coronavirus variants(weekly systematic collection of genomic sequences of local and imported cases).Line charts were plotted weekly,and time series analysis,molecular epidemiological methods,and an improved SEIAR model were used to simulate epidemic spread.During the study period,the COVID-19 epidemic in Fujian Province exhibited three distinct stages.In the infection peak stage(52nd week of 2022),the provincial fever clinic visits reached 606 893 person-times,and a 49.2%positivity rate in population single-tube nucleic acid tests and 63.8%positivity rate in sentinel hospital monitoring were observed.In the medical load peak stage(2nd week of 2023),274 460 inpatients and 28 487 severe cases were recorded.In the epidemic decline stage(4th to 5th weeks of 2023),fever clinic visits decreased by 96.3%with respect to the peak,the single-tube nucleic acid test positivity rate decreased to 6.3%,and the sentinel hospital COVID-19 nucleic acid test positivity rate was 6.4%.All 508 sequenced local cases were Omicron variants,predominantly BA.5.2 and its sub-lineages(67.4%).Among 56 imported se-quenced cases,BA.5.2 and its sub-lineages accounted for 50.0%,and 16.1%comprised nine variants of interest including XBB and BQ.The model predicted the infection peak in the 52nd week of 2022,whereas the hospitalization peak lagged by approximately 10.6 days.Multi-source data monitoring revealed a three-stage development of the COVID-19 epidemic in Fujian.The BA.5.2 strain was dominant during the epidemic.The combination of multi-source monitoring data and modeling provides important references for epi-demic prevention and control,and highlights the need to improve the monitoring system in follow-up.

To analyze the epidemiological characteristics of COVID-19 in Fujian Province from the 49th week of 2022 to the 5th week of 2023,after further optimization of China's COVID-19 prevention and control measures on December 7,2022(the 49th week of 2022),this study used multi-dimensional surveillance data to dynamically assess population infection levels and their changing trends.The aim of the study was to provide a scientific basis for early warning of epidemic risk,medical resource allocation,and evalu-ation of socio-economic impact.A multi-source data surveillance system was constructed,encompassing surveillance of fever clinics at medical institutions(weekly collection of visits,positive nucleic acid and antigen test results,inpatients,and severe cases in sec-ondary or above hospitals),population nucleic acid test monitoring(weekly person-times and positivity rates of single-tube tests from the provincial system),sentinel hospital monitoring(weekly proportion of influenza-like illness visits at 18 sentinel hospitals and re-lated viral testing data),and monitoring of novel coronavirus variants(weekly systematic collection of genomic sequences of local and imported cases).Line charts were plotted weekly,and time series analysis,molecular epidemiological methods,and an improved SEIAR model were used to simulate epidemic spread.During the study period,the COVID-19 epidemic in Fujian Province exhibited three distinct stages.In the infection peak stage(52nd week of 2022),the provincial fever clinic visits reached 606 893 person-times,and a 49.2%positivity rate in population single-tube nucleic acid tests and 63.8%positivity rate in sentinel hospital monitoring were observed.In the medical load peak stage(2nd week of 2023),274 460 inpatients and 28 487 severe cases were recorded.In the epidemic decline stage(4th to 5th weeks of 2023),fever clinic visits decreased by 96.3%with respect to the peak,the single-tube nucleic acid test positivity rate decreased to 6.3%,and the sentinel hospital COVID-19 nucleic acid test positivity rate was 6.4%.All 508 sequenced local cases were Omicron variants,predominantly BA.5.2 and its sub-lineages(67.4%).Among 56 imported se-quenced cases,BA.5.2 and its sub-lineages accounted for 50.0%,and 16.1%comprised nine variants of interest including XBB and BQ.The model predicted the infection peak in the 52nd week of 2022,whereas the hospitalization peak lagged by approximately 10.6 days.Multi-source data monitoring revealed a three-stage development of the COVID-19 epidemic in Fujian.The BA.5.2 strain was dominant during the epidemic.The combination of multi-source monitoring data and modeling provides important references for epi-demic prevention and control,and highlights the need to improve the monitoring system in follow-up.

Animals ; Cognitive Dysfunction/therapy* ; Maze Learning ; Mice ; Protein Phosphatase 2 ; Restraint, Physical ; Stress, Psychological/therapy*

Objective To explore the effect of high-frequency repetitive transcranial magnetic stimulation (rTMS) on activity in the intact motor cortex controlling the suprahyoid muscles and thus on dysphagia after an unilateral stroke.Methods Forty patients suffering dysphagia more than two weeks after a unilateral cerebral stroke were randomly divided into an experimental group and a control group,each of 20.Both groups were given traditional swallowing rehabilitation training,while the experimental group was additionally provided with 5 Hz rTMS for two weeks.Before and after the treatment,all of the patients were characterized using X-ray fluoroscopy,video fluoroscopic swallowing study (VFSS) and surface electromyography,and their swallowing was evaluated using a standardized swallowing assessment (SSA) and a penetration-aspiration scale (PAS).Results After the treatment,significant improvement was observed in both groups in the average swallowing time and in the maximum amplitude of sEMG,as well as the average SSA,PAS and VFSS scores (P＜0.05).The average values in the experimental group were in all cases significantly better than the control group's averages (P＜0.05).Conclusion Applying rTMS at 5 Hz to the motor cortex of the contralateral hemisphere controlling the suprahyoid muscles can effectively improve unilateral-hemisphere dysphagia after stroke.

Objective: To study the influence of meteorological factors on the incidence of hand foot and mouth disease (HFMD) in Xiamen, Fujian province, and provide scientific evidence for the early warning, prediction, prevention and control of HFMD. Methods: Correlation analysis and distribution lag nonlinear models (DLNM) analysis of meteorological factors such as daily average pressure, daily average relative humidity, daily average temperature and sunshine hours and the incidence of HFMD in Xiamen during 2013 to 2017 were conducted by using R3.4.3 software. Results: A total of 36 464 cases of HFMD were reported in Xiamen during 2013-2017, and the incidence showed an upward trend (F=40.359, P=0.008). The daily average relative humidity, daily average temperature and sunshine hours were positively correlated with the incidence of HFMD (r>0), and the daily average site pressure was negatively correlated with the incidence of HFMD (r<0). In the case of a lag of 0-5 days, when the daily average pressure of the station was higher than 1 005 hPa, the risk of HFMD gradually increased with the increase of air pressure, and the risk of disease decreased with the increase of lag days. The risk was highest when air pressure was 1 017 hPa and at the lag of 0 day (RR=1.14, 95%CI: 0.67-1.94). When the relative humidity was higher than 95%, the risk of HFMD gradually increased with the increase of relative humidity, and the lag time ranged from 0 day to 10 days, which was most obvious on the 4^th and 5^th days. The risk was highest when relative humidity was 100% and at the lag of 5 days (RR=1.32, 95%CI: 1.02-1.71). When the air temperature was >28 ℃ and <8 ℃, the risk of HFMD existed, but the lag time was inconsistent. The relative risk was highest during 15-20 days at low air temperature, and the lag time at high air temperature was mainly during 5-15 days. The risk was highest when air temperature was 28 ℃ and at the lag of 4 days (RR=1.10, 95%CI: 0.94-1.29). The sunshine time was >12 h and lag of 0-3 days was a risk factor for the incidence of HFMD. The risk was highest when sunshine time was 13 h and the lag of 0 day (RR=1.20, 95%CI: 1.05-1.36). Conclusion Meteorological factors such as daily average pressure, daily average relative humidity, daily average temperature and sunshine hours were associated with the incidence of HFMD with certain lag in Xiamen. So, it is suggested to use these data in the early warning system of HFMD.

OBJECTIVEA Dengue outbreak was reported in Dongfen town Jianou county, Fujian province on September 19, 2014. The goal of this project was to explore the role of syndromic surveillance program in the practice of early detection on disease outbreak through the case mentioned above.

METHODSThe authors retrospectively collected data related to Outpatient log and Pharmacy drug use in Dongfen township hospital through the electronic information system of the hospital from August to November, 2014. All the abnormal events were recorded, according to related data on fever and drug use. Description of fever, syndromic characteristics, correlation and Linear regression analyses were conducted, using the surveillance data on fever syndrome and drug use from the pharmacy.

RESULTSA total of 1 102 cases with fever and 2 437 fever-related clinic visits were reported which showing an increased number of 19.6, 10.2 times respectively, when compared to the same period of the previous year in which men accounted for 45.3% (499/1 102) and female accounted for 54.7% (603/1 102). Age groups presented an atypical type " M" type. 5 and 10 year olds groups formed the largest proportion, accounted for 11.5% (127/1 102) of the total number os the patients. The correlation coefficient ranged from 0.85 to 0.97 (P<0.05). Data from the syndromic surveillance program showed an " outbreak" was occured in August 23, 2014.

CONCLUSIONSCompared to routine surveillance program, the syndromic surveillance program could detect the appearence of an outbreak, a month or even more earlier. The role of syndromic surveillance program needs to be further explored.

Data Collection ; Dengue ; diagnosis ; epidemiology ; prevention & control ; Disease Outbreaks ; prevention & control ; Drug Prescriptions ; statistics & numerical data ; Drug Utilization ; statistics & numerical data ; trends ; Early Diagnosis ; Female ; Fever ; etiology ; Health Information Systems ; Humans ; Male ; Pharmacy Service, Hospital ; Population Surveillance ; methods ; Retrospective Studies

Objective To explore the relationship between blood pressure variability and worsening functional outcomes of patients upon discharge from the hospitals.Methods The study cohort consisted of 404 patients who presented to Second Affiliated Hospital of Harbin Medical University with ischemic stroke during March 2012-March 2013.Systolic BP and diastolic BP were measured for each patient from admission to the fifth day and coefficient of variation blood pressure calculated.Disability at discharge was measured by the modified Rankin score(mRs).Chi-square test,t-test and multivariate logistic regression analysis were performed.Results After adjustment for potential confounding factors including age,sex,activity,smoking,alcohol intake,BMI,heart rate,hypertension,diabetes mellitus,stroke history,lipid parameters,homocysteine and FPG,results from the multivariate logistic regression analysis showed that when DBP variability was greater than 9,it was associated with a significantly worse functional outcome at hospital discharge compared with those less than 9,with the odds ratio as 1.70(95％CI:1.02-2.84).When comparing the ones that DBP variability more than 10 with the ones less than 10,the odds ratio was 1.86 (95％CI:1.11-3.13).However,there was no significant association seen between SBP variability and the worse functional outcome at hospital discharge.Conclusion Blood pressure variability might be associated with ischemic stroke outcome at hospital discharge but needed more evidence to approve.

This study was aimed to shed light on the biological and pharmaceutical characterization of the complexes of FUS1/hIL-12 double gene with cationic liposome, and to assess such complexes' transfection efficiency, stability and cytotoxicity; for they have the potential for use as drugs in gene therapy of lung cancer. Gel retardation assay, diameter measurement, and surface charge by photon correlation spectroscopy (PCS) were employed to select the appropriate ratio of "cationic liposome to DNA" of the double-gene and liposome complexes. The plasmid EGFP and plasmid PVITO2-hIL12-FUS1 mediated by cationic liposome were transfected into A549 lung cancer cells respectively, and the expression levels of EGFP and FUS1 and hIL-12 were determined by inverted fluorescence microscope and immunohistochemical and enzyme linked immunosorbent assay (ELISA) respectively. Agarose gel electrophoresis was performed to detect the stability of the double-gene and liposome complexes, after they were incubated with serum and Dnase I respectively. After the erythrocytes being incubated with the complexes of FUS1/hIL-12 with cationic liposome, the morphology of erythrocyte was observed by microscopy. The result of this study provides a basis for the use of the complexes of FUS1/hIL-12 with cationic liposome in gene therapy of lung cancer.
Cations ; Cell Line, Tumor ; Genetic Therapy ; Humans ; Interleukin-12 ; genetics ; Liposomes ; chemistry ; Lung Neoplasms ; genetics ; pathology ; Transfection ; methods ; Tumor Suppressor Proteins ; genetics

Objective To explore the diagnostic value of three-dimensional ultrasound parameters-vascularity index (VI) and the volume of kidney in chronic kidney disease (CKD). Methods A total of 80 CKD patients at different stages and 30 healthy adults were enrolled in the study. VI and the renal volume were calculated with three-dimensional ultrasound, while resistance index (RI), cortical thickness (CT) and the volume of kidney were calculated with two-dimensional ultrasound, and the correlation of those parameters were analyzed statistically. Results VI of CKD2 patients reduced significantly compared with the control group, and RI of CKD3 patients increased significantly, CT of CKD3 patients reduced significantly. The diagnostic sensitivity, specificity and diagnostic value of VI in patients with early and late CKD were all higher than thpse of RI. Compared with the control group, three-dimensional ultrasound of renal volume and two-dimensional ultrasound volume of CKD 1 patients increased significantly, three-dimensional ultrasound volume of CKD2 patients reduced significantly, and two-dimensional ultrasound volume of CKD4 patients reduced significantly. There was significant negative correlation among VI, three-dimensional ultrasound volume, CT, two-dimensional ultrasound volume and pathological change scoring (r=-0.67, -0.52, -0.43, -0.52). Conclusion VI and three-dimensional ultrasound volume can detect renal function damage more earlier and sensitively than RI and two-dimensional ultrasound volume.