Integration of biosafety surveillance through Biosafety Surveillance Conceptual Data Model
Integration of biosafety surveillance through Biosafety Surveillance Conceptual Data Model作者机构:Information CenterChinese Center for Disease Control and PreventionBeijing 102206China Beijing Animal Disease Prevention and Control CenterBeijing 102629China Beijing Customs of P.R.CBeijing 100026China Institute of Plant QuarantineChinese Academy of Inspection and QuarantineBeijing 100176China Network Information CenterInstitute of MicrobiologyChinese Academy of SciencesBeijing 100101China Center for Bacteria and Virus Resources and BioinformationWuhan Institute of VirologyChinese Academy of SciencesWuhan 430071China Center for Global Public HealthChinese Center for Disease Control and PreventionBeijing 102206China
出 版 物:《Biosafety and Health》 (生物安全与健康(英文))
年 卷 期:2019年第1卷第2期
页 面:98-104页
学科分类:1004[医学-公共卫生与预防医学(可授医学、理学学位)] 100401[医学-流行病与卫生统计学] 10[医学]
主 题:Biosafety Conceptual data model Data integration Data standard
摘 要:The global movement of people and goods has increased the risk of biosecurity threats and their potential to induce large economic,social,and environmental *** of biosafety monitoring networks has become a top priority for addressing biosafety *** order to resolve the data standards and integration problems in the field of biosafety in China,the Biosafety Surveillance Conceptual Data Model(BSCDM),which is an object-oriented,hierarchically designed,flexible and scalable biosafety surveillance concept data model,is proposed in this *** model is based on the integration of business process management and data resources of disease surveillance,animal disease surveillance and potential invasive biological *** reference to the Public Health Conceptual Data Model(PHCDM)and Federal Enterprise Architecture(FEA),BSCDM conducts a thorough analysis of biosafety monitoring activities,records basic information requirements of biosafety monitoring and provides data set standards for biosafety-related *** is developed with the Unified Modeling Language(UML)and could be applied as an open standard for accelerating data analysis and promoting *** study attempts to integrate biosafety monitoring data and the presented model has been tested in the detection of dengue fever in China and will be applied to other biosafety fields.