A dynamic platform for global pullorum disease and fowl typhoid  

作　　者：Xiamei Kang Canghong Jin Pengkun Gu Song Wang Zhengjie Gao Chenyi Dai Xiao Zhou Abubakar Siddique Haiyang Zhou Linlin Huang Yan Li Min Yue 

机构地区：[1]Department of Veterinary Medicine,Zhejiang University College of Animal Sciences,Hangzhou 310058,China [2]School of Computer and Computing Science,Hangzhou City University,Hangzhou 310015,China [3]Hainan Institute of Zhejiang University,Sanya 572000,China [4]School of Life Science,Hangzhou Institute for Advanced Study,University of Chinese Academy of Sciences,Hangzhou 310024,China [5]State Key Laboratory for Diagnosis and Treatment of Infectious Diseases,National Clinical Research Center for Infectious Diseases,National Medical Center for Infectious Diseases,The First Affiliated Hospital,College of Medicine,Zhejiang University,Hangzhou 310003,China [6]Ningbo Academy of Agricultural Sciences,Ningbo 315040,China [7]NewFit(Hangzhou)Information Technology Co.,Ltd,Hangzhou 310000,China

出　　处：《Animal Diseases》2025年第1期113-123,共11页动物疾病(英文)

基　　金：supported by the National Program on the Key Research Project of China(2022YFC2604201);the Zhejiang Provincial Natural Science Founda-tion of China(LZ24C180002;LR19C180001);the Hainan Provincial Joint Project of Sanya Yazhou Bay Science and Technology City(2021JJLH0083);the Open Project Program of the Jiangsu Key Laboratory of Zoonosis(R1902).

摘　　要：Pullorum disease and fowl typhoid are caused by the Salmonella serovars Gallinarum biovars Pullorum and Gal-linarum,respectively.The prevalence of these diseases varies across regions and is affected by different risk fac-tors that remain insufficiently documented.To fill this knowledge gap,we have compiled a global dataset for its prevalence,drawing upon a collection of literature from the last seven decades obtained from bilingual databases.However,a more interactive and dynamic platform is still needed for both academics and policymakers to improve biosecurity measures,limit disease transmission,and prevent future outbreaks at the global and local levels.Here,we developed an advanced visualization platform to depict the prevalence of Salmonella Pullorum and Gallinarum,espe-cially in China,which is categorized by geographical region and temporal span.The platform offers a user-friendly,efficient,and visually engaging tool to explore the prevalence of pullorum disease and fowl typhoid between 1945 and 2021 in different regions.Additionally,this platform allows users to understand the influence of various fac-tors,such as breed,farm mode,economic usage and even the sex of the primary host,chickens,on the prevalence of this disease.We further provided a detailed overview of individual province within China.In particular,by selecting two different provinces on the interface,users can quickly visualize and grasp the disparities in disease prevalence between the chosen regions.This interactive toolkit enables a dynamic exploration of the patterns and factors con-tributing to the prevalence of Salmonella Pullorum and Gallinarum.This interactive platform is freely available open source at http://139.9.85.208/.

关 键 词：Pullorum disease Fowl typhoid Interactive platform Prevalence prediction 

分 类 号：F42[经济管理—产业经济]