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Long-distance spread of Tembusu virus,and its dispersal in local mosquitoes and domestic poultry in Chongming Island,China

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Infectious Diseases of Poverty 2023年第3期12卷 94-95页

作者： Yuan Fang Tian Hang Li-Min Yang jing-bo xue Ryosuke Fujita xue-Song Feng Tian-Ge Jiang Yi Zhang Shi-Zhu Li Xiao-Nong Zhou School of Global Health Chinese Center for Tropical Diseases ResearchShanghai Jiao Tong University School of MedicineShanghaiChina National Institute of Parasitic Diseases Chinese Center for Disease Control and Prevention(Chinese Center for Tropical Diseases Research)NHC Key Laboratory of Parasite and Vector BiologyWHO Collaborating Centre for Tropical DiseasesNational Center for International Research on Tropical DiseasesShanghaiChina Laboratory of Sanitary Entomology Faculty of AgricultureKyushu UniversityFukuokaJapan Shanghai Chongming Dongtan National Nature Reserve ShanghaiChina

Background Chongming Island in China serves as a breeding and shelter point on the East Asian–Australasian *** resting frequency of migratory birds,abundance of mosquito populations,and the popular domestic poultry industry pose a potential risk of mosquito-borne zoonotic *** aim of this study is to explore the role of migratory birds in the spread of mosquito-borne pathogens and their prevalent status on the *** We conducted a mosquito-borne pathogen surveillance in 2021,in Chongming,Shanghai,***‑mately 67,800 adult mosquitoes belonging to ten species were collected to investigate the presence of faviviruses,alphaviruses,and orthobunyaviruses by *** and phylogenetic analyses were conducted to explore the virus genotype and potential nature *** survey was performed by ELISA to characterize Tembusu virus(TMUV)infection among domestic *** Two strains of TMUV and Chaoyang virus(CHAOV)and 47 strains of Quang Binh virus(QBV)were detected in 412 mosquito pools,with the infection rate of 0.16,0.16,and 3.92 per 1000 Culex tritaeniorhynchus,***‑thermore,TMUVs viral RNA was found in serum samples of domestic chickens and faecal samples of migratory *** against TMUV were detected in domestic avian serum samples,generally ranging from 44.07%in pigeons to 55.71%in *** analyses indicated that the TMUV detected in Chongming belonged to Cluster 3,Southeast Asia origin,and most closely related to the CTLN strain,which caused a TMUV outbreak in chickens in Guangdong Province in 2020,but distant from strains obtained previously in Shanghai,which were involved in the 2010 TMUV outbreak in *** We speculate that the TMUV was imported to Chongming Island through long-distance spreading by migratory birds from Southeast Asia,followed by spill over and transmission in mosquitoes and domestic avian species,threatening the local domestic *** addition,the exp

关键词： Chaoyang virus Emerging zoonotic vector-borne disease Insect-specifc favivirus Mosquito-borne virus Quang Binh virus

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Identification of the high-risk area for schistosomiasis transmission in China based on information value and machine learning:a newly data-driven modeling attempt

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Infectious Diseases of Poverty 2021年第3期10卷 113-114页

作者： Yan-Feng Gong Ling-Qian Zhu Yin-Long Li Li-Juan Zhang jing-bo xue Shang Xia Shan Lv jing Xu Shi-Zhu Li National Institute of Parasitic Diseases Chinese Center for Disease Control and PreventionChinese Center for Tropical Diseases ResearchHC Key Laboratory of Parasite and Vector BiologyWHO Collaborating Centre for Tropical DiseasesNational Center for International Research on Tropical DiseasesShanghai 200025China

Background:Schistosomiasis control is striving forward to transmission interruption and even elimination,evidence-lead control is of vital importance to eliminate the hidden dan gers of *** study attempts to ide ntify... 详细信息

关键词： Schistosomiasis Risk prediction Information value Machine learning China

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Projecting the proliferation risk of Oncomelania hupensis in China driven by SSPs:A multi-scenario comparison and integrated modeling study

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Advances in Climate Change Research 2022年第2期13卷 258-265页

作者： Yan-Feng GONG Xiao-Kang HU Yu-Wan HAO Zhuo-Wei LUO Jia-Xin FENG jing-bo xue Zhao-Yu GUO Yin-Long LI Li-Juan ZHANG Shang XIA Shan LYU jing XU Shi-Zhu LI National Institute of Parasitic Diseases Chinese Center for Disease Control and Prevention(Chinese Center for Tropical Diseases Research)NHC Key Laboratory of Parasite and Vector BiologyWHO Collaborating Centre for Tropical DiseasesNational Center for International Research on Tropical DiseasesShanghai 200025China School of Global Health Chinese Centre for Tropical Diseases ResearchShanghai Jiao Tong University School of MedicineShanghai 200025China

Climate change has been known to cause variations in the geographically suitable areas for the schistosome-transmitting Oncomelania hupensis(***).The spread of snails not only depends on the degree of warming but also on the socioeconomic development of the next few *** socioeconomic pathways(SSPs)published by CMIP6 consider carbon emission pathways as well as influences of distinct types of social development and land use on the regional climate,providing the possibility to accurately evaluate the impact of socioeconomic development and climate variation on the spread of *** study employed SSP126,SSP245,SSP370,and SSP585 and the correlative approach to explore the impacts of climate change and socioeconomic development on the potential diffusion areas for *** in *** results exhibited strong evidence that *** will spread in the north of the middle and lower reaches of the Yangtze River and disappear from a small part of its current southern habitat,whereas in Sichuan and Yunnan,*** may spread slightly to the *** projection also demonstrated that fossil fuel-driven development(SSP585)will be more conducive to the spread of *** breeding sites in the 2030s,whereas the continuous increase in snail breeding habitats under the regional rivalry path(SSP370)may lead to great challenges in snail control in the long term(2020-2080).

关键词： Oncomelania hupensis Shared socioeconomic pathways(SSPs) Climate change China

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Pattern analysis of schistosomiasis prevalence by exploring predictive modeling in Jiangling County,Hubei Province,***

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Infectious Diseases of Poverty 2017年第1期6卷 791-800页

作者： Shang Xia jing-bo xue Xia Zhang He-Hua Hu Eniola Michael Abe David Rollinson Robert Bergquist Yibiao Zhou Shi-Zhu Li Xiao-Nong Zhou National Institute of Parasitic Diseases Chinese Center for Disease Control and PreventionKey Laboratory of Parasite and Vector BiologyMinistry of HealthWHO Collaborating Center for Tropical DiseasesShanghai 200025People’s Republic of China Jiangling Institute of Schistosomiasis Control and Prevention Jiangling 434100People’s Republic of China Department of Zoology Natural History MuseumWolfson Wellcome Biomedical LaboratoriesCromwell RoadLondon SW75BDUK Ingerod BrastadSweden Department of Epidemiology School of Public HealthFudan UniversityShanghai 200032People’s Republic of China.

Background:The prevalence of schistosomiasis remains a key public health issue in *** County in Hubei Province is a typical lake and marshland endemic *** pattern analysis of schistosomiasis prevalence in Jiangling County is of significant importance for promoting schistosomiasis surveillance and control in the similar endemic ***:The dataset was constructed based on the annual schistosomiasis surveillance as well the socio-economic data in Jiangling County covering the years from 2009 to 2013.A village clustering method modified from the K-mean algorithm was used to identify different types of endemic *** these identified village clusters,a matrix-based predictive model was developed by means of exploring the one-step backward temporal correlation inference algorithm aiming to estimate the predicative correlations of schistosomiasis prevalence among different *** sampling of faeces from domestic animals,as an indicator of potential schistosomiasis prevalence,was carried out and the results were used to validate the results of proposed models and ***:The prevalence of schistosomiasis in Jiangling County declined year by *** total of 198 endemic villages in Jiangling County can be divided into four clusters with reference to the 5 years’occurrences of schistosomiasis in human,cattle and snail *** each identified village cluster,a predictive matrix was generated to characterize the relationships of schistosomiasis prevalence with the historic infection level as well as their associated impact ***,the results of sampling faeces from the front field agreed with the results of the identified clusters of endemic ***:The results of village clusters and the predictive matrix can be regard as the basis to conduct targeted measures for schistosomiasis surveillance and ***,the proposed models and methods can be modified to investigate the schistosomiasis pre

关键词： Schistosomiasis Clustering Predictive modelling

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Molecular epidemiology of mosquito-borne viruses at the China-Myanmar border:discovery of a potential epidemic focus of Japanese encephalitis

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Infectious Diseases of Poverty 2021年第2期10卷 94-95页

作者： Yuan Fang Xi-Shang Li Wei Zhang jing-bo xue Jia-Zhi Wang Shou-Qin Yin Sheng-Guo Li Xin-He Li Yi Zhang National Institute of Parasitic Diseases Chinese Center for Disease Control and Prevention(Chinese Center for Tropical Diseases Research)NHC Key Laboratory of Parasite and Vector BiologyWHO Collaborating Centre for Tropical DiseasesNational Center for International Research on Tropical DiseasesShanghaiChina 不详

Background:Mosquito-based arbovirus surveillance can serve as an early warning in evaluating the status of mosquito-borne virus prevalence and thus prevent local *** Tengchong County in Yunnan Province-which borders Myanmar-is abundant and diverse in mosquitoes,very few mosquito-based arbovirus investigations have been conducted in the recent ***,this study aims to evaluate the presence and the diffusion of mosquito-borne pathogens,currently prevalent in this region.

关键词： Culex tritaeniorhynchus Insect-specific flavivirus Mosquito-borne diseases Tengchong China SA14-14-2

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Recognizing and monitoring infectious sources of schistosomiasis by developing deep learning models with high-resolution remote sensing images

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Infectious Diseases of Poverty 2023年第1期12卷 24-35页

作者： jing-bo xue Shang Xia Xin-Yi Wang Lu-Lu Huang Liang-Yu Huang Yu-Wan Hao Li-Juan Zhang Shi-Zhu Li National Institute of Parasitic Diseases Chinese Center for Disease Control and Prevention(Chinese Center for Tropical Diseases Research)NHC Key Laboratory of Parasite and Vector BiologyWHO Collaborating Centre for Tropical DiseasesNational Center for International Research On Tropical DiseasesShanghai 200025China School of Global Health Chinese Center for Tropical Diseases ResearchShanghai Jiao Tong University School of MedicineShanghai 200025China

Background China is progressing towards the goal of schistosomiasis elimination,but there are still some problems,such as difficult management of infection source and snail *** study aimed to develop deep learning models with high-resolution remote sensing images for recognizing and monitoring livestock bovine,which is an intermediate source of Schistosoma japonicum infection,and to evaluate the effectiveness of the models for real-world *** The dataset of livestock bovine’s spatial distribution was collected from the Chinese National Platform for Common Geospatial Information *** high-resolution remote sensing images were further divided into training data,test data,and validation data for model *** recognition models based on deep learning methods(ENVINet5 and Mask R-CNN)were developed with reference to the training *** performance of the developed models was evaluated by the performance metrics of precision,recall,and *** A total of 50 typical image areas were selected,1125 bovine objectives were labeled by the ENVINet5 model and 1277 bovine objectives were labeled by the Mask R-CNN *** the ENVINet5 model,a total of 1598 records of bovine distribution were *** model precision and recall were 81.9%and 80.2%,*** F1 score was *** the Mask R-CNN mode,1679 records of bovine objectives were *** model precision and recall were 87.3%and 85.2%,*** F1 score was *** applying the developed models to real-world schistosomiasis-endemic regions,there were 63 bovine objectives in the original image,53 records were extracted using the ENVINet5 model,and 57 records were extracted using the Mask R-CNN *** successful recognition ratios were 84.1%and 90.5%for the respectively developed *** The ENVINet5 model is very feasible when the bovine distribution is low in structure with few *** Mask R-CNN model has a good framework de

关键词： Deep learning High-resolution remote sensing Recognizing Monitoring Infectious source Schistosomiasis

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From control to elimination:a spatial-temporal analysis of malaria along the China-Myanmar border

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Infectious Diseases of Poverty 2020年第6期9卷 63-75页

作者： Fang Huang Li Zhang jing-bo xue Hong-Ning Zhou Aung Thi Jun Zhang Shui-Sen Zhou Zhi-Gui Xia Xiao-Nong Zhou National Institute of Parasitic Diseases Chinese Center for Disease Control and PreventionChinese Center for Tropical Diseases ResearchWHO Collaborating Center for Tropical DiseasesNational Centre for International Research on Tropical DiseasesMinistry of Science and TechnologyKey Laboratory of Parasite and Vector BiologyMinistry of HealthShanghai200025China Yunnan Institute of Parasitic Diseases Puer665000China Department of Public Health Ministry of Health and SportsNay Pyi Taw15011Myanmar Health Poverty Action East Asia Programme Office Kunming650000China

Background: Malaria cases have declined significantly along the China-Myanmar border in the past 10 years and this region is going through a process from control to *** aim of this study is to investigate the epidemiology of malaria along the border,will identify challenges in the progress from control to ***:: National reported malaria cases from China and Myanmar,along with the data of 18 Chinese border counties and 23 townships in Myanmar were obtained from a web-based diseases information reporting system in China and the national malaria control program of Myanmar,*** data was analyzed,including the number of reported cases,annual parasite index and proportion of vivax *** mapping of the annual parasite index(API)at county or township level in 2014 and 2018 was performed by *** relationship of malaria endemicity on both sides of the border was evaluated by regression ***: The number of reported malaria cases and API declined in the border counties or *** 2014,392 malaria cases were reported from 18 Chinese border counties,including 8.4%indigenous cases and 91.6%imported cases,while the highest API(0.11)was occurred in Yingjiang *** have been no indigenous cases reported since 2017,but 164 imported cases were reported in 2018 and 97.6%were imported from *** average API in 2014 in 23 Myanmar townships was significantly greater than that of 18 Chinese counties(P*** vivax was the predominant species along the *** number of reported malaria cases and the proportion of vivax infection in the 18 Chinese counties were strongly correlated with those of the 23 Myanmar townships(P<0.05).Conclusions: Malaria elimination

关键词： Malaria Control Elimination China–Myanmar border

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Space-time clustering and associated risk factors of pulmonary tuberculosis in southwest China

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Infectious Diseases of Poverty 2018年第1期7卷 940-950页

作者： Li Huang Eniola Michael Abe Xin-Xu Li Robert Bergquist Lin Xu jing-bo xue Yao Ruan Chun-Li Cao Shi-Zhu Li Yunnan provincial Center for Disease Control and Prevention KunmingChina National Institute of Parasitic Diseases Chinese Center for Disease Control and PreventionRuijing Er road 207Shanghai 200025China National Research Center for Tropical Disease ShanghaiChina Key Laboratory of Parasite and Vector Biology Ministry of HealthShanghaiChina WHO Collaborating Center for Tropical Diseases ShanghaiChina Center for Drug Evaluation China Food and Drug AdministrationBeijingChina Ingerod BrastadSweden

Background:Pulmonary tuberculosis(PTB,both smear positive and smear negative)is an airborne infectious disease of major public health concern in China and other parts of the world where PTB endemicity is *** study aims at identifying PTB spatio-temporal clusters and associated risk factors in Zhaotong prefecture-level city,located in southwest China,where the PTB notification rate was higher than the average rate in the entire ***:Space-time scan statistics were carried out using PTB registered data in the nationwide TB online registration system from 2011 to 2015,to identify spatial *** patients diagnosed between October 2015 and February 2016 were selected and a structured questionnaire was administered to collect a set of variables that includes socio-economic status,behavioural characteristics,local environmental and biological *** on the discovery of detailed town-level spatio-temporal PTB clusters,we divided selected subjects into two groups including the cases that resides within and outside identified ***,logistic regression analysis was applied comparing the results of variables between the two ***:A total of 1508 subjects consented and participated in the *** for PTB cases were identified in 38 towns distributed over south-western *** regression analysis showed that history of chronic bronchitis(OR=3.683,95%CI:2.180-6.223),living in an urban area(OR=5.876,95%CI:2.381-14.502)and using coal as the main fuel(OR=9.356,95%CI:5.620-15.576)were independently associated with ***,not smoking(OR=0.340,95%CI:0.137-0.843)is the protection factor of spatial ***:We found PTB specially clustered in south-western *** strong associated factors influencing the PTB spatial cluster including:the history of chronic bronchitis,living in the urban area,smoking and the use of coal as the main fuel for cooking and ***,efforts should

关键词： Pulmonary tuberculosis Spatio-temporal clustering Regression analysis method Risk factors China

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Effects of Shenqi Xiangyi granules in advanced gastric cancer chemotherapy

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World Journal of Gastrointestinal Oncology 2025年第1期17卷 169-175页

作者： Xiao-jing Shi Yu Song xue-xue Liang Ting Chen Huang-Yu Hao xue Han Ya-Nan Chen Department of Oncology Zhangjiagang First People's HospitalSuzhou 215600Jiangsu ProvinceChina

BACKGROUND Owing to the absence of specific symptoms in early-stage gastric cancer,most patients are diagnosed at intermediate or advanced *** a result,treatment often shifts from surgery to other therapies,with chemotherapy and targeted therapies being the primary options for advanced gastric cancer treatment.A total of 116 patients with advanced gastric cancer,admitted from January 2021 to December 2023,were selected and divided into two groups of 58 each using the random number table *** control group received FOLFOX4 chemothe-rapy(oxaliplatin+calcium+folinate+5-fluorouracil)combined with intravenous *** observation group received the same treatment as the control group,supplemented by oral administration of Senqi Shiyiwei *** groups underwent treatment cycles of 3 weeks,with a minimum of two *** therapeutic efficacy,immune mechanisms,and treatment-related toxicity and side effects were compared between the *** objective remission rate in the observation group(55.17%)was higher than that of the control group(36.21%)(P0.05).CONCLUSION Adjuvant therapy with Shenqixian granules may enhance the efficacy of simudizumab combined with FOLFOX4 chemotherapy in advanced gastric cancer and the immune function by increasing immune cell counts,making it a valuable option in clinical treatment.

关键词： Sindilizumab FOLFOX4 chemotherapy Advanced gastric cancer Ginseng Qi Xiangyi granule Clinic treatment

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Trigemino-cardiac reflex in embolization of intracranial dural arteriovenous fistula:case report

Trigemino-cardiac reflex in embolization of intracranial dur...

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中国医师协会神经外科医师分会第二届全国代表大会

作者： LV Xian-li LI You-xiang LV Ming LIU Ai-hua ZHANG jing-bo WU Zhong-xue 北京市神经外科研究所

＜正＞We report a case of immediate reproducible and reflexive response of asystole upon stimulation of Onyx injection during embolization of a tentorial DAVF in a 53-year-old *** recognition of the reflexive relationship between Onyx injection and increased vagal tone the patient was given anticholinergic in an effort to block cholinergic *** atropine was given,no further dysrhythmias occurred.

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