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A dynamic platform for global pullorum disease and fowl typhoid.

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Název: A dynamic platform for global pullorum disease and fowl typhoid.
Autoři: Kang, Xiamei1 (AUTHOR), Jin, Canghong2 (AUTHOR), Gu, Pengkun3 (AUTHOR), Wang, Song3 (AUTHOR), Gao, Zhengjie3 (AUTHOR), Dai, Chenyi4 (AUTHOR), Zhou, Xiao5 (AUTHOR), Siddique, Abubakar1 (AUTHOR), Zhou, Haiyang1,4 (AUTHOR), Huang, Linlin1 (AUTHOR), Li, Yan1,4 (AUTHOR), Yue, Min1,4,6,7 (AUTHOR) myue@zju.edu.cn
Zdroj: Animal Diseases. 10/30/2024, Vol. 4 Issue 1, p1-11. 11p.
Druh dokumentu: Article
Témata: Disease prevalence, Infectious disease transmission, Typhoid fever, Poultry, Salmonella
Author-Supplied Keywords: Fowl typhoid
Interactive platform
Prevalence prediction
Pullorum disease
Abstrakt: Pullorum disease and fowl typhoid are caused by the Salmonella serovars Gallinarum biovars Pullorum and Gallinarum, respectively. The prevalence of these diseases varies across regions and is affected by different risk factors 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, especially 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 factors, 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 contributing to the prevalence of Salmonella Pullorum and Gallinarum. This interactive platform is freely available open source at http://139.9.85.208/. [ABSTRACT FROM AUTHOR]
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Author Affiliations: 1Department of Veterinary Medicine, Zhejiang University College of Animal Sciences, 310058, Hangzhou, China
2https://ror.org/01wck0s05 School of Computer and Computing Science, Hangzhou City University, 310015, Hangzhou, China
3NewFit (Hangzhou) Information Technology Co., Ltd, 310000, Hangzhou, China
4https://ror.org/00a2xv884 Hainan Institute of Zhejiang University, 572000, Sanya, China
5https://ror.org/01ngb3r97 Ningbo Academy of Agricultural Sciences, 315040, Ningbo, China
6https://ror.org/05qbk4x57 School of Life Science, Hangzhou Institute for Advanced Study, University of Chinese Academy of Sciences, 310024, Hangzhou, China
7State 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, 310003, Hangzhou, China
Full Text Word Count: 4496
ISSN: 2731-0442
DOI: 10.1186/s44149-024-00145-8
Přístupové číslo: 180587688
Databáze: Veterinary Source
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Popis
Abstrakt:Pullorum disease and fowl typhoid are caused by the Salmonella serovars Gallinarum biovars Pullorum and Gallinarum, respectively. The prevalence of these diseases varies across regions and is affected by different risk factors 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, especially 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 factors, 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 contributing to the prevalence of Salmonella Pullorum and Gallinarum. This interactive platform is freely available open source at http://139.9.85.208/. [ABSTRACT FROM AUTHOR]
ISSN:27310442
DOI:10.1186/s44149-024-00145-8