Sobral Bruno, Mao Chunhong, Shukla Maulik, Sullivan Dan, Zhang Chengdong
Virginia Bioinformatics Institute at Virginia Tech, Blacksburg, Virginia, U.S.A.
Biomed Eng Syst Technol Int Jt Conf BIOSTEC Revis Sel Pap. 2013;273:3-11. doi: 10.1007/978-3-642-29752-6_1.
Informatics-driven approaches change how research and development are conducted, who participates, and enables systems-oriented views of science and research. Most life sciences researchers have a very strong desire for the full integration of data and analysis tools delivered through a single interface. Infectious disease (ID) research and development provides a uniquely challenging and high impact opportunity. The biological complexity of infectious disease systems, which are composed of multiple scales of interactions between potential pathogens, hosts, vectors, and the environment, challenges information resources because of the breadth of organism-organism and organism-environment interactions. Applications of integrated data for ID serves a variety of constituencies, such as clinicians, diagnostician, drug and vaccine developers, and epidemiologists. Thus there is a complexity that makes ID an opportune area in which to develop, deploy and use CyberInfrastructure.
信息学驱动的方法改变了研发的开展方式、参与者以及对科学和研究的系统导向性观点。大多数生命科学研究人员强烈渴望通过单一界面实现数据和分析工具的完全整合。传染病（ID）研发提供了一个极具挑战性且影响深远的机会。传染病系统的生物学复杂性，由潜在病原体、宿主、媒介和环境之间多尺度的相互作用构成，由于生物体与生物体以及生物体与环境相互作用的广度，对信息资源构成了挑战。整合数据在传染病方面的应用服务于各类群体，如临床医生、诊断人员、药物和疫苗研发人员以及流行病学家。因此，这种复杂性使得传染病成为开发、部署和使用网络基础设施的一个合适领域。
