Vector Surveillance Ontology and Vector Management Ontology

描述（由申请人提供）：登革热和疟疾等病媒传播疾病每年影响世界亚热带和热带地区的数亿人。利用决策支助系统来提高数据管理、分析和解释的业务能力，正在成为防治这些疾病和其他被忽视的热带病媒传染疾病的一个有希望的新办法。这项工作由创新病媒控制联合会牵头，该联合会正在资助开发登革热（在科罗拉多州立大学）和疟疾（在南非医学研究理事会）的决策支持系统。我们的长期目标是开发一个灵活的病媒传播疾病决策支持系统，该系统能够适应任何特定的病媒传播疾病或具有地方重要性的疾病组合。这样的系统需要结合使用受控词汇表（标准化和定义的术语集）和本体（标准化和定义的受控词汇表术语集及其相互关系）。这将提供术语的标准化，告知数据库模式，促进来自分散数据库的数据的链接（例如，临床和病媒控制数据），并允许在地方、区域或全球数据库中汇编数据。后者将促进关键的元分析，以确定哪类病媒和疾病综合管理战略最有效。本体越来越多地在生物医学科学中被开发、支持和使用;开放生物医学本体（OBO）铸造厂（http：//www.obofoundry.org/）是这一过程的核心，并建立了一套本体开发的原则和标准，目标是在生物医学领域创建一套正交的可互操作的参考本体。OBO Foundry候选本体的范围从蜱的大体解剖（蜱解剖本体）到杀虫剂抗性（蚊子抗药性本体）、传染病（传染病本体）和环境（环境本体）。经过现有的OBO候选本体的审查，我们已经确定了需要发展的本体，以解决人类病原体的节肢动物载体的监测和管理的主题。在病媒传播疾病的决策支持系统中使用病媒监测和病媒管理的本体是一种新方法，它将：1）纠正目前使用的没有正式定义和关系的模糊病媒监测和病媒管理术语，2）提高数据质量和数据集成，3）促进病媒控制干预措施的标准化监测和评价。该项目的目标是：“开发和启动一个网络界面，为主题专家提供方便的访问，以评论拟议的受控词汇表术语及其定义。“编制用于病媒监测和病媒管理的受控词汇。“为病媒监测（病媒监测本体论）和病媒管理（病媒管理本体论）创建候选本体论。“将病媒监测本体论和病媒管理本体论纳入正在开发的登革热决策支持系统。该项目将由科罗拉多州立大学的一个五人小组（拉尔斯·维森、扫罗·洛扎诺-富恩特斯、切斯特·G·摩尔，马奎斯科尔曼和Sanika Chitari），在信息系统/决策支持系统和蚊子和蜱传疾病方面具有广泛的专业知识。

DESCRIPTION (provided by applicant): Vector-borne diseases such as dengue and malaria affect hundreds of millions of people each year in subtropical and tropical areas of the world. Use of decision support systems to provide improved operational capacity for data management, analysis and interpretation is emerging as a promising novel approach to combat these and other neglected tropical vector-borne diseases. This effort is spearheaded by the Innovative Vector Control Consortium, which is funding the development of decision support systems for dengue (at Colorado State University) and malaria (at the Medical Research Council of South Africa). Our long-term goal is development of a flexible vector-borne disease decision support system with capacity for adaptation to any particular vector-borne disease or combination of diseases of local importance. Such a system needs to incorporate use of Controlled Vocabularies (sets of standardized and defined terms) and Ontologies (sets of standardized and defined controlled vocabulary terms and their inter-relationships). This will provide standardization of terminology, inform database schemas, facilitate linkage of data from fragmented databases (e.g., clinical and vector control data) and allow for compilation of data in local, regional or global databases. The latter will facilitate critical meta-analyses to determine which types of integrated vector and disease management strategies are most effective. Ontologies are increasingly developed, supported and used in biomedical science; the Open Biomedical Ontologies (OBO) Foundry (http://www.obofoundry.org/) is at the core of this process and has established a set of principles and standards for ontology development with the goal of creating a suite of orthogonal interoperable reference ontologies in the biomedical domain. OBO Foundry candidate ontologies range in scope from tick gross anatomy (Tick Anatomy Ontology) to insecticide resistance (Mosquito Insecticide Resistance Ontology), infectious disease (Infectious Disease Ontology) and the environment (Environment Ontology). After a review of existing OBO candidate ontologies, we have identified the need for development of ontologies to address the topics of surveillance and management of arthropod vectors of human pathogens. Use of ontologies for vector surveillance and vector management in decision support systems for vector-borne diseases is a novel approach that will: 1) remedy the current use of nebulous vector surveillance and vector management terms without formal definitions and relationships, 2) improve data quality and data integration and 3) facilitate standardized monitoring and evaluation of vector control interventions. The goals of the project are to: " Develop and launch a web interface that provides easy access for subject matter experts to comment on proposed controlled vocabulary terms and their definitions. " Produce controlled vocabularies for vector surveillance and vector management. " Create candidate ontologies for vector surveillance (Vector Surveillance Ontology) and vector management (Vector Management Ontology). " Incorporate the Vector Surveillance Ontology and the Vector Management Ontology into the decision support system under development for dengue. The project will be delivered by a Colorado State University five-person team (Lars Eisen, Saul Lozano-Fuentes, Chester G. Moore, Marlize Coleman and Sanika Chitari) with broad expertise in Information Systems / Decision Support Systems and mosquito- and tick-borne diseases.