ObjectiveTo understand the infection characteristics of multidrug-resistant organisms (MDROs) in hospitalized patients in a tertiary sentinel hospital in Shanghai, so as to provide an evidence for the development of targeted prevention and control measures. MethodsData of MDROs strains and corresponding medical records of some hospitalized patients in a hospital in Shanghai from 2021 to 2023 were collected, together with an analysis of the basic information, clinical treatment, underlying diseases and sources of sample collection. ResultsA total of 134 strains of MDROs isolated from hospitalized patients in this hospital were collected from 2021 to 2023 , including 63 strains of methicillin-resistant Staphylococcus aureus (MRSA), 57 strains of carbapenem-resistant Acinetobacter baumannii (CRAB), and 14 strains of carbapenem-resistant Klebsiella pneumoniae (CRKP). Of the 134 strains, 30 strains were found in 2021, 47 strains in 2022 and 57 strains in 2023. The male-to-female ratio of patients was 2.05∶1, with the highest percentage (70.90%) in the age group of 60‒<90 years. The primary diagnosis was mainly respiratory disease, with lung and respiratory tract as the cheif infection sites. There was no statistically significant difference in the distribution of strains between different genders and infection sites (P>0.05). However, the differences in the distribution of strains between different ages and primary diagnosis were statistically significant (P<0.05). Patients who were admitted to the intensive care unit (ICU), had urinary tract intubation, were not artery or vein intubated, were not on a ventilator, were not using immunosuppresants or hormones, and were not applying radiotherapy or chemotherapy were in the majority. There was no statistically significant difference in the distribution of strains for whether received radiotherapy or chemotherapy or not (P>0.05), while the differences in the distribution of strains with ICU admission history, urinary tract intubation, artery or vein intubation, ventilator use, and immunosuppresants or hormones use or not were statistically significant (all P<0.05). The type of specimen was mainly sputum, the hospitalized ward was mainly comprehensive ICU, the sampling time was mainly in the first quarter throughout the year, the number of underlying diseases was mainly between 1 to 2 kinds, the application of antibiotics ≥4 kinds, and those who didn’t receive any surgery recently accounted for the most. There were statistically significant differences in the distribution of strains between different specimen types, wards occupied and history of ICU stay (P<0.05), but no statistically significant difference in the distribution of strains between different sampling times, number of underlying diseases and types of antibiotics applied (P>0.05). ConclusionThe situation of prevention and control on MDROs in this hospital is still serious. Focus should be placed on high-risk factors’ and infection monitoring and preventive measures should be strengthened to reduce the incidence rate of MDROs infection.

Objective To analyze the spatiotemporal clustering characteristics of hand-foot-mouth disease (HFMD) in Songjiang District of Shanghai from 2017 to 2022, and to provide a basis for the prevention and control of HFMD. Methods The number of reported cases of HFMD and population data in Songjiang District from 2017 to 2022 were collected. SaTScan 10.1.2 was used for spatiotemporal scanning analysis, and ArcGis 10.7 was used to visually describe the spatial distribution of HFMD. Results From 2017 to 2022, a total of 12318 cases of HFMD were reported, with an average annual reporting rate of 106.72/100 000. The incidence rate of HFMD from 2017 to 2019 was 174.19/100 000, higher than the incidence rate of HFMD from 2020 to 2022 (43.29/100 000) (P<0.01). From 2017 to 2022, there were cases reported in each month throughout the year, with the peak incidence occurring from May to October each year. The incidence rate of HFMD in each area had obvious spatial clustering. The results of spatiotemporal scanning analysis showed that the high incidence areas of HFMD were mainly distributed in Jiuting Town, Jiuliting Street, Guangfulin Street, Sijing Town, and Dongjing Town (LLR=1199.68, P<0.01). Conclusion The HFMD in Songjiang District of Shanghai shows obvious spatiotemporal clustering distribution. The clustering area is mainly distributed in the northeast of the district. Attention should be paid to high-risk areas and key populations, and targeted preventive measures should be developed.

ObjectiveTo analyze the evolutionary characteristics and genetic variations of the HA (hemagglutinin) and NA (neuraminidase) genes of influenza A(H1N1) viruses in Shanghai during 2024, to investigate their transmission patterns, and to evaluate their potential impact on vaccine effectiveness. MethodsFrom January to October 2024, throat swab specimens were collected from influenza like illness (ILI) patients at 4 hospitals in Shanghai. Real-time fluorescence ploymerase chain reaction (RT-PCR) was used for virus detection and isolation of H1N1 influenza viruses. Forty influenza A(H1N1) virus strains were sequenced using Illumina NovaSeq 6000 platform, followed by phylogenetic analyses, genetic distance analysis, and amino acid variation analyses of HA and NA genes. ResultsPhylogenetic tree of the HA and NA genes revealed that the 40 influenza A(H1N1) virus strains circulating in Shanghai in 2024 exhibited no significant geographic clustering, with a broad origin of strains and complex transmission chains. Genetic distance analyses demonstrated that the average intra-group genetic distances of HA and NA genes among the Shanghai strains were 0.005 1±0.000 6 and 0.004 6±0.000 6, respectively, which were comparable to or higher than those observed in global surveillance strains. Both HA and NA genes displayed frequent mutations. Compared to the 2023‒2024 and 2024‒2025 Northern Hemisphere A(H1N1) vaccine strains (WHO-recommended), the HA proteins of 40 Shanghai strains exhibited amino acid substitutions at positions 120, 137, 142, 169, 216, 223, 260, 277, 356 and 451, with critical mutations at positions 137 and 142 located within the Ca2 antigenic determinant. Furthermore, mutations in the NA protein were observed at positions 13, 50, 200, 257, 264, 339 and 382. ConclusionThe genetic background of the 2024 Shanghai influenza A(H1N1) virus strains is complex and diverse, and antigenic variation may affect vaccine effectiveness. Therefore, it is recommended to enhance genomic surveillance of influenza viruses, evaluate vaccine suitability, and implement more targeted prevention and control strategies against imported influenza viruses.

ObjectiveTo investigate the infection and genotypes of Wolbachia in Aedes albopictus. MethodsAdult and larval samples of Aedes albopictus were collected from different residential and wild areas from 2020 to 2021， Wolbachia surface protein （wsp） gene was amplified and genotyped for wAlbA and wAlbB by PCR， and sequenced for phylogenetic analysis. The difference of detection rate among different habitats， male and female adult mosquitoes， adult and larvae was compared by χ² analysis. ResultsThe detection rate of Wolbachia in adult and larvae of Aedes albopictus were 43.5% （77/177） and 70.4% （190/270）， respectively， with a statistically significant difference （χ²=32.086，P<0.001）， and wAlbA and wAlbB were mainly detected together. The detection rate of Wolbachia in female and male Aedes albopictus were 50.7% （76/150） and 3.7% （1/27）， respectively， with a statistically significant difference（χ²=20.533，P<0.001）. The detection rate of adult Aedes albopictus in Songjiang wild area， residential area and Hongkou residential area were 91.7% （55/60）， 18.8% （22/117） and 41.7% （30/72）， respectively， with a statistically significant difference （χ²=54.322，P<0.001）. Genotyping and phylogenetic analysis showed that adult and larvae of Aedes albopictus infected with Wolbachia were mainly wAlb A and wAlb B. In addition， some sequences formed clades independently， and the genetic distance from other sequences was relatively large. ConclusionInfection of Wolbachia in Aedes albopictus is relatively common in Songjiang District. The main genotypes are wAlb A and wAlb B and there may be other subtypes， which are worthy of further exploration and research.

Objective To analyze the spatial-temporal aggregation of other infectious diarrhea (OID) in Songjiang District, Shanghai, from 2018 to 2022, and to provide a basis for the formulation of scientific prevention and control measures of intestinal infectious disease. Methods Surveillance data of OID cases in Songjiang District, Shanghai, from 2018 to 2022 were collected from China Information System for Disease Control and Prevention. ArcMap software version 10.7 was applied to detect spatial autocorrelation analysis, and SaTScan software version 10.1.2 was applied in spatial-temporal scan analysis. Results A total of 2 996 OID cases were reported in Songjiang District between 2018 and 2022, with an average annual incidence rate of 29.26/100 000. The sex ratio of OID cases was 1.24:1, and majority of cases occurred in the age group 0-4 years (44.91%). Occupation of OID cases was mainly scattered children (42.36%), students (9.91%) and children in kindergarten or nursery (8.98%). Positive spatial autocorrelation of OID between 2018 and 2021 was identified at the township level in the global spatial autocorrelation analysis. Local spatial autocorrelation analysis indicated that the hot-spot areas of OID incidence were Fangsong Street, Yueyang Street, Zhongshan Street and Yongfeng Street, respectively, which were all distributed in the main urban area of Songjiang District. Three high-risk spatial-temporal clusters of OID incidence were identified through the spatial-temporal scan analysis. The primary spatial-temporal cluster covered 4 streets in the main urban area of Songjiang (RR=4.06, LRR=515.06, P<0.05). The secondary spatial-temporal cluster covered 2 streets/towns in northeastern area of Songjiang (RR=2.59, LRR=12.04, P<0.05). The tertiary spatial-temporal aggregation areas covered 4 streets/towns in both northwestern and main urban area of Songjiang (RR=2.65, LRR=11.51, P<0.05). Conclusion From 2018 to 2022, the overall incidence of other infectious diarrhea in Songjiang District showed a fluctuating downward trend, and there was a certain degree of spatiotemporal clustering. It is necessary to strengthen the prevention and control measures of OID for key populations in the clustering area before epidemic seasons.

ObjectiveTo analyze the monitoring results and trends of Oncomelania in Songjiang District of Shanghai from 2007 to 2023， and to provide reference for future monitoring work. MethodsThe data of snail monitoring in Songjiang District from 2007 to 2023 were collected， including the location of snail spots， the number of survey frames， the area with snails， the number of frames with snails， the total number of snails， etc. The density of living snails and the occurrence rate of living snail frames were calculated. ResultsFrom 2007 to 2023， a total of 158 snail spots were found in 22 administrative villages in 4 towns in Songjiang District， including 131 emerging snail habitats （82.91%） and 27 reemerging snail habitats （17.09%）. The total snail area was 175 980 m²， the number of snail frames was 10 061， and 33 302 snails were captured. The highest density was 260/0.11 m²， and 15 662 snails were dissected. No positive snails were found. The average density of living snails was 0.60/0.11 m² and the average occurrence rate of living snail frames was 17.99%. The snail areas in different areas were Yexie Town 126 000 m² （71.60%）， Maogang Town 26 470 m² （15.04%）， Xinbang Town 17 040 m² （9.68%）， and Shihudang Town 6 470 m² （3.68%）. The average density of living snails in different areas was 0.89/0.11 m² in Yexie Town， 0.65/0.11 m² in Maogang Town， 0.26/0.11 m² in Shihudang Town and 0.24/0.11 m² in Xinbang Town. The snail areas of different snail habitats were as follows： woodland 151 250 m²（85.95%）， river 13 810 m²（7.85%）， ditch 6 910 m²（3.93%）， farmland 4 010 m²（2.28%）. The average density of living snails in different snail habitats： ditch 1.01/0.11 m²， beach 0.86/0.11 m²， woodland 0.57/0.11 m²， river 0.40/0.11 m². The occurrence rate of living snail frames in different regions and different snail environment types showed a downward trend and the difference was statistically significant. ConclusionAlthough the snail monitoring indicators such as snail area， average living snail density and average living snail frame occurrence rate in Songjiang District are still at its historically low level， the average living snail density and average living snail frame occurrence rate are still high compared with other regions or the national average. We should focus on the upper reaches and tributaries of the Huangpu River， especially the key areas of seedling transplantation， and strengthen monitoring and supervision to reduce the risk of snail input.

ObjectiveTo investigate the relationship between mosquito density fluctuations and meteorological factors, so as to provide a scientific basis for mosquito surveillance analysis, risk assessment, and comprehensive prevention and control. MethodsMosquito surveillance and monitoring data of 2020‒2023 was obtained from on-site supervisory sampling by Songjiang Center for Disease Control and Prevention, and meteorological data was obtained from the Wheat A wheat malt-agro-meteorological big data system. Excel 2019 and SPSS 25.0 software were used to organize and analyze the mosquito number, species composition, and seasonal changes in mosquito density captured by the CO₂-light trap at rach monitoring site. Circular distribution method was used to calculate the peak time of mosquito density, combined with the meteorological data of the same period to explore the impact of meteorological factors on the results of mosquito surveillance. ResultsThere was a statistical difference in the overall distribution of mosquito quantity in different habitats(H=23.11, P<0.05), 2020‒2023. In addition, the results showed that July 28th was the peak day for mosquito density, and the duration from June 13th to September 11th was the seasonal peak period for mosquitoes. Pearson correlation analysis showed a positive correlation between mosquito density and average air temperature, average highest air temperature, average lowest air temperature, extreme maximum air temperature, extreme minimum air temperature, precipitation, and number of precipitation days (all P<0.01). While, there was no significant correlation between average wind speed and mosquito density (P>0.05). Multiple stepwise regression analysis resulted in the equation of Y=0.151X_{extreme minimum temperature}+0.321X_{number of precipitation days}+1.002X_{SQRT precipitation}-1.288 (F=102.635, P<0.05). ConclusionThe CO₂-light trap is advisable to monitor the habitats of farmers, livestock sheds, residential areas, parks, hospitals, and other external environments. Air temperature and precipitation have a significant impact on mosquito density. It is recommended to implement comprehensive prevention and control measures to reduce mosquito density and prevent mosquito-borne diseases before the peak period of mosquitoes.

ObjectiveTo characterize the prevalence and epidemic situation of imported malaria cases in Songjiang District of Shanghai from 2013 to 2022， and to provide evidence for malaria prevention and control. MethodsRelated data were collected and analyzed， including malaria cases， blood testing of febrile patients， and mosquito surveillance in Songjiang from 2013 to 2022. ResultsA total of 13 002 febrile patients in Songjiang were tested for plasmodium parasites from 2013 to 2022， among which 18 malaria cases were confirmed， including 17 cases of falciparum malaria and 1 case of ovale malaria. Moreover， a total of 36 malaria cases were notified in Songjiang through the National Notifiable Disease Reporting System from 2013 to 2022， including cases reported from Songjiang District and other districts or provinces with physical addresses in Songjiang. Of them， there were 31 cases of falciparum malaria， 2 cases of vivax malaria， 2 cases of ovale malaria and 1 case of quartan malaria. The gender ratio of male to female cases was 17∶1， and the majority was young and middle aged. In addition， 35 cases were imported from Africa and 1 case from southeast Asia； 34 cases were migrant workers， and 2 cases were travellers abroad； 17 cases were found and reported in Songjiang， 15 cases were reported from other districts of Shanghai， and 4 cases were reported from other provinces； 27 cases were treated in Shanghai， 3 cases were treated in other provinces and 6 cases were treated with self-provided antimalarial drugs. Mosquito surveillance in Songjiang showed that density of Anopheles sinensis was extremely low. ConclusionNo indigenous malaria case has been notified in Songjiang since 2008. Malaria surveillance on migrant workers remains the focus of malaria prevention and control. Furthermore， achievement of malaria elimination in Songjiang should be continually enhanced to avoid potential further transmission of imported malaria.

Objective:This study aimed to investigate the predictive value of N-terminal pro-B-type natriuretic peptide (NT-proBNP) trajectory on future major adverse cardiovascular events (MACE) in patients with stable coronary artery disease (SCAD) after percutaneous coronary intervention (PCI).Methods:A retrospective cohort study was conducted on SCAD patients admitted to the Department of Cardiology at Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, from January 2013 to December 2021. A total of 828 subjects were enrolled, comprising 592 males and 236 females, with an average age of (66.44±11.71) years. SCAD patients post-percutaneous coronary intervention (PCI) were stratified into three NT-proBNP trajectory groups: T1 Low-Low (219 cases), T2 Medium-Low (363 cases), and T3 High-High (246 cases). The median follow-up time was 2.1 years, and the maximum follow-up time was 9 years. The primary clinical endpoint event was MACE. The NT-proBNP concentration in patients′ serum was measured using enzyme-linked fluorescent assay, and different trajectory groups were determined using latent class trajectory modeling. The association between NT-proBNP trajectory and occurrence of MACE in SCAD patients was evaluated using Kaplan-Meier survival curves and multivariable Cox proportional hazards regression models.Results:A total of 67 (8.1%) major adverse cardiovascular events occurred, including 43 cases (5.2%) of all-cause mortality, 13 cases (1.6%) of heart failure death, 9 cases (1.1%) of non-fatal myocardial infarction, and 15 cases (1.8%) of non-fatal stroke. Kaplan-Meier survival curve analysis showed significant differences in survival rates among T1, T2, and T3 groups of SCAD patients for MACE, all-cause mortality, and heart failure death (all P<0.001). In the multivariable Cox regression analysis, the risk of MACE occurrence for patients in the T2 group and T3 group was 1.708 times (95% CI 0.72-4.05) and 3.842 times (95% CI 1.625-9.081) compared to the T1 group, respectively. Moreover, a statistically significant linear trend was observed for the risk of MACE occurrence across trajectory groups ( P<0.001). Conclusions:NT-proBNP trajectory groups after PCI in SCAD patients are strongly associated with the risk of MACE occurrence and can serve as an independent predictor for MACE. Dynamic monitoring of NT-proBNP during follow-up to obtain longitudinal trajectories helps identify high-risk SCAD patients and implement timely effective intervention measures.

Objective Based on mosq-ovitrap monitoring method of Aedes albopictus， to determine the spatial and temporal distribution of Aedes albopictus in Songjiang District and provide scientific evidence for prevention and control of mosquito-borne diseases. Methods From May to October， 2018‒2020， density of Aedes albopictus was monitored by using the mosq-ovitrap method. Sub-districts and towns were used as the monitoring units and the difference in mosquito ovitrap index （MOI） was compared by seasons， years and habitats. Results The total number of positive mosquito ovitraps was 1049 in 2018‒2020， and the average MOI was 8.10. Four sub-districts/towns in the urban area and the northern area had the relatively high MOIs. Moreover， MOIs in residential and external environments were higher than other habitats. In addition， MOI of Aedes albopictus decreased over years from 2018 to 2020. Conclusion Aedes albopictus is widely distributed in Songjiang District. Although the number of mosquito decreased over years after the implementation of mosquito control measures， reproduction of mosquito remains excessive in some areas and seasons. It is necessary to perform targeted control measures based on comprehensive monitoring methods.