ObjectiveTo investigate the changes in the pathogen spectrum of viral diarrhea in local pediatric inpatients as well as any variations in genotypes of major pathogens during the COVID-19 control period. MethodsFecal samples were collected from the children <5 years who were hospitalized due to acute gastroenteritis in a pediatric hospital in Shanghai. PCR test was carried out to detect rotavirus， norovirus， sapovirus， astrovirus and enteric adenovirus， and then genotyping was performed for major pathogens. ResultsOut of 546 samples， 37.55% tested positive for virus with the following positive rate ranking： norovirus GⅡ （22.16%）， group A rotavirus （16.12%）， astrovirus （2.93%）， enteric adenovirus （2.38%）， sapovirus （0.92%） and norovirus GⅠ （0.18%）. The predominant genotype within norovirus GⅡ were GⅡ.4［P31］ and GⅡ.4［P16］ with a proportion of 24.79% and 14.05% respectively. The detection rate of GⅡ.4［P31］ dropped significantly over the 2-year period （χ²＝16.140，P<0.001）. In addition， an emerging rotavirus genotype G8P ［8］， which was rarely found nationally， was discovered for the first time locally with an increasing proportion， accounting for 7.95% of all rotavirus positive cases. Phylogenic analysis demonstrated that the representative strains of this genotype were genetically closer to the DS-1-like G8P ［8］ strain found in Southeast Asia. ConclusionThe changes in the prevalence of various norovirus genotypes together with the emergence of rare rotavirus genotype in the local area illustrate the importance of continuous monitoring of viral diarrhea and genotyping of key pathogens. Increased local activity of the rare genotype also adds new parameters in the efficacy evaluation of marketed vaccines and development of potential new vaccines in near future.

ObjectiveTo present the exploration and application of a prospective follow-up research method for acute infectious disease surveillance based on natural community populations， using COVID-19 infection as an example， and to provide a reference for improving the infectious disease surveillance and early warning system. MethodsA multi-stage probability proportional sampling method was employed to sample residents from all communities of 16 administrative districts in Shanghai， with households as the units. A cohort for acute infectious diseases based on natural community populations was established. The baseline survey was conducted for all cohort subjects， and COVID-19 antigen test kits were distributed. From December 21， 2022 to September 30， 2023， prospective follow-up monitoring of COVID-19 antigen and nucleic acid was carried out on the study subjects on a weekly basis. The baseline characteristics and follow-up information of the cohort subjects were described. ResultsThe cohort for acute infectious diseases included a total of 12 881 subjects， comprising 6 098 males （47.3%） and 6 783 females （52.7%）. The baseline survey revealed that 35.2% （4 540/12 881） of the subjects had a history of COVID-19 infection. During the follow-up period from December 21， 2022 to September 30， 2023， the average incidence density in the cohort was 0.61/person-year， with a higher incidence density in females （0.63/person-year） compared to males （0.59/person-year）. Individuals aged 60 and above （0.64/person-year） and those with underlying health conditions （0.67/person-year） had a higher incidence density. Healthcare workers showed a notably higher incidence density （0.84/person-year） than that in other occupational groups. As of September 30， 2023， a total of 340 subjects in the cohort experienced secondary infections， with a median interval of 170 days between the first and second infections. ConclusionThis study applies cohort study method to acute infectious disease surveillance， providing crucial data support for estimating infection rates and forecasting alerts for acute infectious diseases in the community. This method can be promoted and applied as a new approach for acute infectious disease surveillance.

Objective: To retrospectively analyze the epidemic characteristics and spatial distribution of vomiting and diarrhea outbreaks in schools and kindergartens in Shanghai from 2015 to 2019, so as to provide the scientific evidence for optimizing prevention and control of vomiting and diarrhea outbreaks in schools and kindergartens. Methods: Data collection and analysis were carried out on the vomiting and diarrhea outbreaks reported to Shanghai Municipal Center for Disease Control and Prevention from 2015 to 2019. Epidemiological characteristics were analyzed and compared. The proportion and incidence of outbreaks in schools and kindergartens were calculated, and the influencing factors of outbreaks were analyzed by multivariate Logistic regression. The index of Moran s I was used for the global and local spatial auto correlation analysis. Results: Among the 344 vomiting and diarrhea outbreaks, 98.26% occurred in kindergartens, primary schools, middle schools and other educational institutions. The median number of cases per outbreak was 15. The number of suspected outbreaks and the percentage of cases involved peaked in 2015 ( 60.00% , 84.35%) and then decreased year by year to 16.00% and 38.80% in 2019. About 86.98% of the outbreaks were transmitted by human to human contact. Among the 329 outbreaks with samples collected from cases and/or environments, the main pathogen detected was norovirus ( n =280), and sapovirus was detected in outbreak for the first time in 2016. The outbreaks showed obvious seasonality, with two peaks (November, March) and one trough (July), and the majority of outbreaks occurred in primary schools (44.38%) and kindergartens (32.84%). Compared with kindergartens, the probabilities of suspected epidemic outbreaks in primary schools, combined schools, middle schools and other educational institutions were higher (adjusted OR =6.40, 9.16, 12.64 , 5.58, P <0.01). The proportion and incidence of outbreaks in educational institutions in different districts showed no high-high aggregation areas. Conclusions Primary schools and kindergartens are key places for the prevention and control of vomiting and diarrhea outbreaks. Targeted prevention and control measures should be strengthened at the beginning of each semester and before the peak of the epidemic each year. Timely reporting of symptoms, suspension of school admissions after symptoms appear and standardized disposal of vomit are effective measures to reduce interpersonal transmission and control the scale of an outbreak.

Objective To investigate the role of sea-level cerebral blood flow(CBF)in predicting acute mountain sickness(AMS)using three-dimensional pseudo-continuous arterial spin labeling(3D-pCASL). Methods Forty-eight healthy volunteers reached an altitude of 3,650 m by air after undergoing a head magnetic resonance imaging(MRI)including 3D-pCASL at sea level.The CBF values of the bilateral anterior cerebral artery(ACA),middle cerebral artery(MCA),posterior cerebral artery(PCA),and posterior inferior cerebellar artery(PICA)territories and the laterality index(LI)of CBF were compared between the AMS and non-AMS groups.Statistical analyses were performed to determine the relationship between CBF and AMS,and the predictive performance was assessed using receiver operating characteristic(ROC)curves. Results The mean cortical CBF in women(81.65±2.69 mL/100 g/min)was higher than that in men(74.35±2.12 mL/100 g/min)(P<0.05).In men,the cortical CBF values in the bilateral ACA,PCA,PICA,and right MCA were higher in patients with AMS than in those without.Cortical CBF in the right PCA best predicted AMS(AUC=0.818).In women,the LI of CBF in the ACA was different between the AMS and non-AMS groups and predicted AMS with an AUC of 0.753. Conclusion Although the mechanism and prediction of AMS are quite complicated,higher cortical CBF at sea level,especially the CBF of the posterior circulatory system,may be used for prediction in male volunteers using non-invasive 3D-pCASL.

Objective:To understand the epidemiological characteristics of diarrheagenic Escherichia ( E. ) coli infection in infectious diarrhea outpatients aged 15 years and older in Shanghai and provide evidence for the development of disease control strategies .Methods:Based on multistage systematic sampling, diarrhea surveillance was conducted in 22 sentinel hospitals in Shanghai, the information about cases' demographic, clinical, and epidemiological characteristics were collected. Stool samples were collected for the detection and typing of diarrheagenic E. coli by local centers for disease control and prevention. The positive rate of diarrheagenic E. coli in different populations and seasons from 2014 to 2021 were analyzed. Statistical analysis was conducted by using χ2 test. Results:In 15 185 diarrhea cases, 8.05% (1 222/15 185) were positive for diarrheagenic E. coli. The positive rate was higher in men (8.74%, 684/7 824) than in women (7.31%, 538/7 361). The positive rate was highest in age group 15-29 years (9.14%, 335/3 665) and the annual positive rate was highest in 2021 (10.21%, 83/813), the differences were all significant ( P<0.05). In the 1 264 strains of diarrheagenic E. coli analyzed through PCR, enterotoxingenic E. coli was the most frequently identified pathogen (50.24%, 635/1 264), followed by enteroadhesive E. coli (27.93%, 353/1 264), and enteropathogenic E. coli (21.36%, 270/1 264). The positive rate of diarrheagenic E. coli showed obvious seasonality with peak in summer (13.92%, 774/5 562) ( χ2=495.73, P<0.001). Conclusions:Diarrheagenic E. coli has become a prominent pathogen in infectious diarrhea cases in Shanghai, the disease can occur all the year round with incidence peak during summer and autumn. Predominant subtypes included enterotoxingenic E. coli, enteroadhesive E. coli and enteropathogenic E. coli. Targeted prevention and control strategies are needed for diarrheagenic E. coli-induced infectious diarrhea in different age groups, seasons and for different types of infections.

Objective The oxidative damage of DNA can be caused by excessive levels of Reactive oxygen species(ROS).Monitoring of DNA oxidative damage enables effective evaluation of ROS damage effects.Although the detection of DNA damage effects based on microbial sensor allows quantitative analysis of oxidative damage,the ROS clearance mechanism existed in bacterial will affect the sensitive of detection.The work of this article is to knockout the key genes of ROS clearance mechanism and construct an antioxidant gene-knock-out microbial sensor.The microbial sensor can realize sensitive monitoring of DNA damage effects and then evaluates the damage effects of cells by ROS.Methods The antioxidant damage genes of bacterial ahpCF,katE and katG were knocked out by λ-Red homologous recombination and antioxidant gene-knockout microbial sensor was constructed.The nalidixic acid sodium salt and UV irradiation were used to characterize the performance for monitoring of DNA damage effects.Results The antioxidant gene-knockout microbial sensors ΔahpC,ΔahpCF/ΔkatEG and ΔahpCF/ΔkatE/ΔkatG were constructed successfully.The results showed that the microbial sensor ΔahpCF/ΔkatE/ΔkatGl had the highest sensitive of damage effects and the limit of detection for nalidixic acid sodium salt was 0.40 μmol/L.In addition,1.80 min of UV irradiation(254 nm)was sufficient to induce a significant fluorescent expression effect in the engineered bacteria.Conclusion In this article,antioxidant gene-knockout microbial sensors had been constructed to realize active and sensitive monitoring of DNA damage effects such as DNA damage reagents and UV irradiation.The sensors could provide an active,effective,and sensitive potential monitoring method for future evaluation of radiation effects in space.

The difference between sleep and wakefulness is critical for human health. Sleep takes up one third of our lives and remains one of the most mysterious conditions; it plays an important role in memory consolidation and health restoration. Distinct neural behaviors take place under awake and asleep conditions, according to neuroimaging studies. While disordered transitions between wakefulness and sleep accompany brain disease, further investigation of their specific characteristics is required. In this study, the difference is objectively quantified by means of network controllability. We propose a new pipeline using a public intracranial stereo-electroencephalography (stereo-EEG) dataset to unravel differences in the two conditions in terms of system neuroscience. Because intracranial stereo-EEG records neural oscillations covering large-scale cerebral areas, it offers the highest temporal resolution for recording neural behaviors. After EEG preprocessing, the EEG signals are band-passed into sub-slow (0.1‍-‍1 Hz), delta (1‍-‍4 Hz), theta (4‍-‍8 Hz), alpha (8‍-‍13 Hz), beta (13‍-‍30 Hz), and gamma (30‍-‍45 Hz) band oscillations. Then, dynamic functional connectivity is extracted from time-windowed EEG neural oscillations through phase-locking value (PLV) and non-overlapping sliding time windows. Next, average and modal network controllability are implemented on these time-varying brain networks. Based on this preliminary study, it appears that significant differences exist in the dorsolateral frontal-parietal network (FPN), salience network (SN), and default-mode network (DMN). The combination of network controllability and dynamic functional networks offers new insight for characterizing distinctions between awake and asleep stages in the brain. In other words, network controllability captures the underlying brain dynamics under both awake and asleep conditions.
Humans ; Wakefulness ; Electroencephalography/methods* ; Brain Mapping/methods* ; Brain

Objective:To investigate the epidemiological and pathogenic characteristics of children's infectious diarrhea in Shanghai to provide evidence for developing strategies related to the control of the disease .Methods:Diarrhea outpatients were under surveillance at the pediatric intestinal clinic at five sentinel hospitals in Shanghai, with demographic, clinical, and epidemiological information collected. Fecal specimens were collected and detected for 12 bacteria and 5 viruses by district center for disease control and prevention. Characteristics of diarrhea patients were compared and analyzed from 2016 to 2021. Multi-stage systematic sampling method was adopted. The Chi-square test was used for statistical analysis.Results:Of 2 456 infectious diarrhea patients, the positive rate was 45.11% (1 108/2 456), 16.00% (393/2 456), 20.81% (511/2 456), 8.31% (204/2 456), for all pathogens, single bacteria, single virus, and diverse infections respectively. The prevalent detected pathogens were pathogenic Escherichia coli (12.95%, 318/2 456), norovirus (10.91%, 268/2 456), rotavirus (7.49%, 184/2 456), Salmonella (5.82%, 143/2 456) and Campylobacter jejuni (4.68%, 115/2 456). The pathogen spectrum of childhood infectious diarrhea patients showed noticeable seasonal changes, with a prevalent bacterial infection in summer [peaked in June, the positive rate was 34.50% (69/200)] and a prevalent viral infection in winter [peaked in January, the positive rate was 48.10% (101/210)]. The positive rates in different age groups, populations, and seasons were statistically different ( χ2=160.53, P<0.001; χ2=14.80, P=0.003; χ2=27.21, P<0.001). During 2020-2021, the number of cases of infectious diarrhea in children (284 cases/year) dropped significantly compared with the number in 2016-2019 (472 cases/year), the pathogen spectrum changed significantly ( χ2=39.02, P=0.001), and the positive findings of bacteria ( χ2=11.73, P<0.001) and viruses ( χ2=14.22, P<0.001) decreased significantly. However, the positive rate of enteric adenovirus increased. Conclusions:The pathogen spectrum of children's infectious diarrhea patients shows noticeable seasonal changes in Shanghai. Pathogenic Escherichiacoli, norovirus, and rotavirus are the most common diarrheal pathogens. In recent years, the detection of adenovirus in children with infectious diarrhea has increased. The number of children with infectious diarrhea and the positive rate have decreased significantly during 2020-2021. Specific prevention and control measures should be taken for infectious diarrhea of different ages, pathogens, and seasons.

In order to meet the needs of prevention and control of intestinal infectious diseases， a comprehensive surveillance for diarrheal diseases has been innovated and explored in Shanghai since 2012. The surveillance has extensive distribution of sentinel hospitals， systematic sampling， multi-pathogen collection， and hospital information system （HIS） as the basis， which has achieved “One system for surveillance of multiple diseases and one sample for detection of multiple pathogens". Continual active surveillance for the whole population has been conducted， covering demography， clinical information， epidemiology， pathogen detection， and drug sensitivity test for diarrhea cases. The surveillance has obtained preliminary achievements as follows. First， diarrheal diseases and their periodic changes have been characterized， in which the most prevalent pathogen of diarrhea is determined to be norovirus in Shanghai. Second， some rare pathogens and serotypes have been identified that may provide clues to the sources of outbreaks. Third， it facilitates the information sharing between public health institutions and clinical institutions， and provides scientific evidence for clinical diagnosis and treatment. In the future， Shanghai diarrhea comprehensive surveillance will be improved for expanding range and depth of surveillance， artificial intelligence assisted diagnosis and treatment， early warning of outbreaks， prediction of epidemic trends， and application of new detection technologies.

ObjectiveTo investigate an outbreak of norovirus diarrhea in a welfare home for the elderly in Shanghai， and to analyze the epidemiology and virus genotype characteristics of the epidemic， thus providing a scientific basis for the prevention and control of norovirus epidemic. MethodsCase definition was clarified. After case definition， a standardized questionnaire was used to carry out case investigation to make comprehensive analysis in combination with field epidemiological investigation and laboratory tests results. ResultsThe epidemic lasted for 14 days， and 23 cases were reported with an incidence rate of 12.37% （23/186）， including 3 males and 20 females. There were more cases on the 1st， 4th and 6th floor of the main building in the welfare home， accounting for 52.17% （12/23） of total cases. 19 cases were reported in the main building， with an incidence rate of 11.59% （19/164）； 4 cases were reported in the auxiliary building， with an incidence rate of 18.18% （4/22）. There was no significant difference in the morbidity between the main building and the auxiliary building （χ²=0.779，P>0.05）. The main clinical manifestations were vomiting and diarrhea. There was a significant difference in the incidence of vomiting symptoms among the elderly， nursing staff and other staff in the welfare home （χ²=10.216， P<0.05）. But there was no significant difference in the incidence of diarrhea among the elderly， nursing staff and other staff （χ²=1.218， P>0.05）. Fecal samples were collected from 23 cases， 1 case family member， 68 risk personnel and 14 environmental surface swab samples. Norovirus GⅡ was detected in stool samples of 19 cases， 1 family member and 36 risk personnel. ConclusionOutbreak of norovirus infection is reported in a welfare home in Shanghai. The close contact between the elderly and health workers might lead to the outbreak.