Ma Fubo, Xiao Ming, Zhu Lin, Jiang Wen, Jiang Jizhe, Zhang Peng-Fei, Li Kang, Yue Min, Zhang Le
West China Biomedical Big Data Center, West China Hospital, Sichuan University, Chengdu, China.
College of Computer Science, Sichuan University, Chengdu, China.
Front Genet. 2022 Sep 14;13:981633. doi: 10.3389/fgene.2022.981633. eCollection 2022.
, the causative agent of brucellosis, is a global zoonotic pathogen that threatens both veterinary and human health. The main sources of brucellosis are farm animals. Importantly, the bacteria can be used for biological warfare purposes, requiring source tracking and routine surveillance in an integrated manner. Additionally, brucellosis is classified among group B infectious diseases in China and has been reported in 31 Chinese provinces to varying degrees in urban areas. From a national biosecurity perspective, research on brucellosis surveillance has garnered considerable attention and requires an integrated platform to provide researchers with easy access to genomic analysis and provide policymakers with an improved understanding of both reported patients and detected cases for the purpose of precision public health interventions. For the first time in China, we have developed a comprehensive information platform for based on dynamic visualization of the incidence (reported patients) and prevalence (detected cases) of brucellosis in mainland China. Especially, our study establishes a knowledge graph for the literature sources of data so that it can be expanded, queried, and analyzed. When similar "epidemiological comprehensive platforms" are established in the distant future, we can use knowledge graph to share its information. Additionally, we propose a software package for genomic sequence analysis. This platform provides a specialized, dynamic, and visual point-and-click interface for studying brucellosis in mainland China and improving the exploration of in the fields of bioinformatics and disease prevention for both human and veterinary medicine.
布鲁氏菌病的病原体是一种全球人畜共患病原体,对兽医和人类健康都构成威胁。布鲁氏菌病的主要来源是农场动物。重要的是,这种细菌可用于生物战目的,因此需要以综合方式进行源头追踪和常规监测。此外,布鲁氏菌病在中国被列为乙类传染病,在中国31个省份的城市地区均有不同程度的报告。从国家生物安全的角度来看,布鲁氏菌病监测研究已受到广泛关注,需要一个综合平台,为研究人员提供便捷的基因组分析途径,并为政策制定者提供更好的对报告患者和检测病例的了解,以便进行精准的公共卫生干预。在中国,我们首次基于中国大陆布鲁氏菌病发病率(报告患者)和患病率(检测病例)的动态可视化,开发了一个全面的信息平台。特别是,我们的研究为布鲁氏菌病数据的文献来源建立了知识图谱,以便对其进行扩展、查询和分析。在遥远的未来建立类似的“流行病学综合平台”时,我们可以利用知识图谱共享其信息。此外,我们还提出了一个用于基因组序列分析的软件包。该平台为研究中国大陆的布鲁氏菌病以及改善人畜医学领域生物信息学和疾病预防方面布鲁氏菌病的探索提供了一个专门的、动态的、可视化的点击式界面。