Objective To evaluate the application value with low-dose CT scan and quantitative analysis in airway disease of chronic obstructive pulmonary disease(COPD).Methods All subjects(34 control cases,88 cases of stable COPD patients)underwent low-dose CT chest scans,and 88 COPD patients underwent pulmonary function tests.Measuring the airway dimensions of 3th generation in apical bronchus of the right upper lobe,the posterior basal bronchus of the right lower lobe and left lower lobe.Results COPD patients with moderate to extremely severe airflow limitation demonstrated higher WA% and Pi10 in comparison with normal volunteers(all P<0.05),meanwhile patients with extremely severe airflow limitation demonstrated higher WA % and Pi10 in comparison with patients with mild airflow limitation(both P <0.05).COPD patients with severe airflow limitation demonstrated higher T/BSA and WA/BSA in comparison with normal volunteers and patients with moderate airflow limitation (all P<0.05).The WA % and Pi10 of COPD patients group were negatively correlated with ventilation indices and small airway indices(all P <0.01).Pi10 were positively correlated with lung volume indices (all P < 0.05 ).Conclusion Low-dose CT scan and quantitative analysis can provide an objective and quantitative method to evaluate the information about airway disease of COPD,inwich both WA % and Pi10 are objective indices.With the increase of air flow limitation,the bronchial wall thickness gradually increased.

The optimal model for the near-infrared spectroscopic analysis of serum glucose was established by partial least squares(PLS) and Savitzky-Golay(SG) smoothing method. Based on the prediction effect of the optimal single wave number model, a new dividing method for calibration set and prediction set was given. The calibration and prediction models were established by PLS method adopting the combination bands of 10000-5300 cm~(-1) and 4920-4160 cm~(-1) with Savitizky-Golay(SG) smoothing. By extending the number of smoothing points to 5, 7, ..., 87(odd) and polynomial degree to 2, 3, 4, 5, 6, fourteen smooth coefficient tables including 582 smooth modes were calculated. All PLS models corresponding to all smooth modes and all PLS factors(1-40) were constructed. The optimal model was selected by the prediction effect. And the derivation order was 1, the polynomial degree was 3 or 4, the number of smoothing points was 53, the optimal factor was 7 and the optimal RMSEP reach 0.376 mmol/L. The dividing method for calibration set and prediction set, the extending of SG smoothing modes, large-scale optimization combining SG smoothing modes and PLS factors can be effectively applied for the model optimization of near-infrared spectroscopic analysis.

Objective To explore airway remodeling and air trapping in asthmatic patients with low dose CT scanning and quantitative analysis. Methods 52 stable asthmatic patients in which 29 were severe and 23 were slight,and 20 healthy control cases were underwent low dose dual phase CT scanning. The LA/BSA, WA/BSA, TA/BSA, WA%and Pi10WA were analyzed as airway remolding indexes. The MLD of expiratory, VI-850 (%) of expiratory, MLD E/I, VI-850E-I (%) and VI-850/-950E-I (%) were analyzed as air-trapping indexes. One-Way ANOVA or H Kruskal-Wallis was used to analyze the above indicators. Results Airway remodeling indexes and LA/BSA were (9.6 ± 2.6), (11.0 ± 3.4) and (12.6 ± 3.0)mm2/m2 in severe asthmatics group, non-severe asthmatics group and healthy control group respectively, and there was significant difference between the three groups (F=5.60, P=0.006). WA%of each group was (65.1 ± 2.5)%, (63.3 ± 4.4)%and (62.0 ± 3.0)%, and there was significant difference between the three groups (F=5.53,P=0.006). The Pi10WA was (18.4±2.6), (17.7±3.1) and (16.4±1.4) mm2 respectively with significant difference between the three groups (F=3.59 ,P=0.033). Air-trapping indexes, MLD of expiratory of each group was-(771 ± 59),-(724 ± 43) and-(676 ± 60) HU respectively with significant difference (F=5.60, P=0.006). VI-850(%) of expiratory of each group was 30.79(30.45)%, 13.53(12.09)%and 2.85(6.87)%respectively with significant difference (H=17.20,P<0.001). Conclusions Low dose of CT scan and quantitative analysis can provide an objective and quantitative information for patients with airway disease of asthma, and both WA% and Pi10WA were objective indexes. The severe asthmatic patients were associated with obvious airway remodeling and air trapping compared with non-severe asthmatic patients.

Objective: To investigate the epidemiologic characteristics of Norovirus among adult patients suffering from infectious diarrhea in Shanghai, so as to provide evidence for developing related strategies on prevention and control of the disease. Methods: Diarrheal outpatients were monitored at the 'Intestinal clinic’ from 22 hospitals involved in the sentinel surveillance program in Shanghai. Information on demographic and epidemiologic features of the patients was collected while data and clinical, fecal specimens were collected and sent to the district CDC for Norovirus detection. Positive rates of Norovirus were also compared in various populations and seasons during 2013-2018. Multivariate logistic regression model was adopted to fit into the comparisons between non-Norovirus and Norovirus groups. Results: 19.28% of the 12 083 diarrheal cases were found to have carried the Norovirus, with GⅡgroup the most commonly identified genotype. Rates of detection was seen higher in males (20.78%) than in females (17.73%). 30-44 year-old were found having the highest positive rate (21.51%). The positive rates were found the highest (23.60%) in the year of 2015. All the above shown differences were statistically significant (P<0.05). Diarrheal patients affected with Norovirus would present watery stool (75.94%) and vomiting (35.84%). Data from the multivariate logistic analysis showed that factors as: being males, 30-44 years old, officials/clerks, in winter season and with histories of travelling etc., were related to higher risks on Norovirus infection. Conclusions Infectious diarrhea caused by Norovirus occurred all year round, with seasonal peaks seen in winter and spring, in Shanghai. Specific prevention and control measures should be taken on Norovirus- caused infectious diarrhea, according to the difference on age, gender and season.

Objective To introduce the establishment of Shanghai Diarrhea Comprehensive Surveillance System ,and to analyze the epidemiological and etiological characteristics of infectious diarrhea outpatients in Shanghai based on data of Shanghai Diarrhea Comprehensive Surveillance System .Methods Diarrhea patients were surveyed according to a unified designed questionnaire ,who visited one of 22 adult sentinel hospitals and 4 children sentinel hospitals of Shanghai Diarrhea Comprehensive Surveillance during September 2013 to August 2016 .Stool specimens were collected according to different sampling intervals and detected for 12 bacteria and 5 viruses .Characteristics of diarrhea patients were compared and analyzed .Chi-square test was used for statistical analysis .Results Of 4497 infectious diarrhea patients ,the detection rate of viral infection was 29 .77％ ,of which norovirus infection (16 .33％ ) , rotavirus infection (7 .90％ ) and sapovirus infection (1 .90％ ) were dominated . The detection rate of bacterial infection was 15 .38％ ,diarrheagenic E .coli (DEC) infection (5 .25％ ) ,V . parahaemolyticus infection (4 .27％ ) and Salmonella spp .infection (3 .13％ ) .Mixed infection accounted for 11 .07％ .The detection rate ,the infection types and the predominant pathogens in different age groups were statistically different (χ= 18 .11 ,61 .86 and 449 .52 ,respectively ,all P< 0 .01) .DEC ranked first in 3 - 14 years age group , and norovirus ranked first in all other age groups .The pathogen spectrum of infectious diarrhea patients≥ 15 years old showed obvious seasonal changes ,with mainly bacterial infection in summer (peaked in August ,accounting for 81 .56％ ) and mainly viral infection in winter (peaked in January ,accounting for 95 .27％ ) .Norovirus ranked first through the year ,except January ,June ,July and August .Among patients ≥ 15 years old , abdominal pain , fever and loose stools were main symptoms in bacterial infections .Vomiting and watery stool were main symptoms in viral infections . Loose stools appeared frequently in patients ≤ 14 years old .Conclusions Diarrhea Comprehensive Surveillance System based on scientific design and rational distribution is beneficial for understanding the epidemic trends and pathogen characteristics of diarrhea .Viral infections are predominant in infectious diarrhea patients in Shanghai . Norovirus and rotavirus are the most common diarrheal pathogens .The pathogen spectrum of infectious diarrhea patients shows obvious seasonal changes .DEC is common in diarrhea patients ≤ 14 years old . The clinical symptoms of infectious diarrhea caused by different pathogens are different . Targeted preventive measures should be taken for infectious diarrhea of different ages ,different pathogens ,and in different seasons .

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 analyze the pathogen spectrum and epidemiological characters of infectious diarrhea cases in Shanghai from July 2013 to June 2015. Methods: From July 2013 to June 2015, using multi-stage sampling to select 22 hospitals as adult diarrhea surveillance sentinels, and 3 district central hospitals together with Shanghai municipal children's hospital as children diarrhea surveillance sentinels. A total of 6 267 diarrhea cases were sampled. The demographic characters, main clinical manifestations and signs of cases were investigated, and stool specimens were collected to conduct the bacteria culture and virus nucleic acid detection. The difference of positive rate of bacteria and virus in different seasons, and age difference of relevant pathogens were compared. Results: Among 6 267 cases, 3 262 (52.05%) were male, and most of them were in 50-69 years group (1 999 cases, 31.90%) and 30-49 years group (1 691 cases, 26.98%). Totally, 2 783 positive specimens were detected out of 6 267 specimens with the positive rate being 44.41%. A total of 7 kinds of bacteria and 5 kinds of viruses were detected. The positive rate for bacterium was 12.61%(790 cases), mainly being vibrio parahaemolyticus (256 cases), diarrheagenic E.coli (239 cases) and salmonella (209 cases). The positive rate for virus was 31.80% (1 993 cases), mainly being norovirus (1 172 cases) and rotavirus (546 cases). The positive rates of viruses in winter of 2013 and 2014 were 57.89%(429 cases) and 62.14%(522 cases) respectively, higher than those of bacterium in the same periods which were 2.43% (18 cases) and 2.86% (24 cases) respectively. The positive rates of bacterium in summer of 2013, 2014 and 2015 were 14.56% (97 cases), 25.29%(258 cases) and 21.21% (49 cases), also higher than those of viruses in the same periods which were 7.51% (50 cases), 8.43%(86 cases) and 11.69% (27 cases) respectively, all of the above differences were statistically significant (P<0.05). The cases of 50-69 years group had the highest positive rate of pathogen, which was 47.57% (951/1 999). Secondly was those of 30-49 years group with 47.13% (797/1 691). Positive rate of pathogen for cases of 0-2 years group was 35.74% (213/596). Conclusion The pathogen spectrumes of infectious diarrhea in Shanghai are mainly vibrio parahaemolyticus, diarrheagenic E.coli, salmonella, norovirus and rotavirus. The summer and winter season peak was obvious. Specific etiological surveillance and control strategies should be strengthened aiming at focus groups including children and the elderly in different seasons.

Objective:To analyze the epidemiological characteristics of imported COVID-19 cases in early phase in Shanghai, introduce measures and provide reference for prevention and control of imported COVID-19 cases.Methods:Data of imported COVID-19 cases in Shanghai reported as of 30 March, 2020 were obtained from National Notifiable Disease Report System of China CDC and field epidemiological investigation reports by CDCs in Shanghai. The information about measures of prevention and control was collected from official websites and platforms of the governments. Data cleaning and statistical analysis were performed with softwares of EpiData 3.1, Excel 2019 and SAS 9.4.Results:A total of 171 imported COVID-19 cases had been reported as of 30 March, 2020 in Shanghai, including 170 confirmed cases and 1 asymptomatic infection case. Among them, cases of Chinese nationality accounted for 71.3% (122/171) and cases of foreign nationality accounted for 28.7% (49/171). The median age of the cases was 23 years ( P 25, P 75: 18, 35 years), and the male to female ratio of the cases was 1.3∶1. Students accounted for 56.6% (97/171). About 45.6% (78/171) of the cases fell ill before arriving in Shanghai. The cases with mild or common clinical manifestation accounted for 96.5% (165/171) and no significant difference in clinical type was observed between overseas Chinese cases and foreign cases. The epidemic curve by diagnosis date reached peak on March 24, and the number of the cases gradually declined due to the closed-loop management process of joint port prevention and control mechanism. The 171 imported COVID-19 cases were mainly from 24 countries and regions, including the United Kingdom (64 cases, 37.3%), the United States (32 cases, 18.6%), France (19 cases, 11.0%) and Italy (16 cases, 9.4%). About 40.4% of the cases (69/171) planned to continue travelling to 21 other provinces and municipalities in China. Customs quarantine and community observation/detection points identified 43.9% (75/171) cases and 31.0% (53/171) cases, respectively. Conclusions:The imported COVID-19 cases in early phase in Shanghai were mainly young population and students accounted for high proportion. The imported risk of COVID-19 was consistent with the severity of the epidemic in foreign countries. The closed-loop management model of the joint port prevention and control mechanism plays an important role in the identification and management of the imported COVID-19 cases.

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.

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.