支持泰国耐多药结核病管理的分子流行病学信息系统:摘要。

Online journal of public health informatics Pub Date : 2020-06-26 eCollection Date: 2020-01-01 DOI:10.5210/ojphi.v12i1.10416
Areeya Disratthakit, Penpitcha Thawong, Pundharika Piboonsiri, Surakameth Mahasirimongkol
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引用次数: 0

摘要

目的:利用整合结核分枝杆菌(MTB)临床分离株基因组数据和地理信息系统(GIS)的信息学系统支持终结结核病战略。我们的目标是开发一个用于实施基因组数据的系统原型,以支持多重耐药结核病(MDR-TB)控制。方法:采用12步数据价值链来描述系统内部的信息流。采用面向原型的系统开发方法来测试系统某些技术方面的可行性,并作为确定用户需求的规范工具。输入模拟数据集作为初始系统测试的输入。结果:建立了系统原型,即集成MOL爆发检测与联合调查(iMoji)。数据录入模块包括(1)患者登记,(2)样本登记,(3)实验室数据录入和数据分析,(4)分析数据的验证和审批。最初的系统测试证明了模块之间的连接没有错误。该系统能够报告耐多药结核病的综合基因组数据和GIS信息,用于聚类分析。结论:iMoji提供了一个确定耐多药结核病分子流行病学联系的交互式模型和相应的空间信息,为结核病控制的公共卫生干预提供指导。
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Molecular Epidemiological Information System to Support Management of Multidrug-Resistant Tuberculosis in Thailand: Abstract.

Objective: To support the End TB strategy with an informatics system that integrates genomic data and the geographic information system (GIS) of Mycobacterium tuberculosis (MTB) clinical isolates. We aim to develop a system prototype for implementing genomic data to support multiple drug-resistant tuberculosis (MDR-TB) control.

Methods: A 12-step data value chain was applied to describe the information flow within the system. A prototyping-oriented system development method was utilized to test the feasibility of certain technical aspects of a system, and as specification tools to determine user requirements. A simulated dataset was entered as input for initial system testing.

Results: System prototype, namely Integrated MOL Outbreak detection and Joint investigation (iMoji), was established. The data entry modules consisted of (1) patient registration, (2) sample registration, (3) laboratory data entry and data analysis, and (4) verification and approval of the analyzed data. The initial system test demonstrated connectivity among modules without error. The system was able to report integrated genomic data and GIS information of MDR-TB for clustering analysis.

Conclusion: iMoji provides an interactive model for determining molecular epidemiological links of MDR-TB and corresponding spatial information to guide public health interventions for tuberculosis control.

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