SCH: EXP: Smart integration of community crowdsourced data for real-time individualized disease risk assessment

SCH：EXP：智能整合社区众包数据，进行实时个体化疾病风险评估

• 批准号: 1343968
• 负责人: Rumi Chunara
• 金额: $ 67.3万
• 依托单位: Children's Hospital Corporation
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2013
• 资助国家: 美国
• 起止时间: 2013-10-01 至 2015-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1343968&HistoricalAwards=false
• 关键词: SCH; EXP; Smart; integration; community

This project addresses a major inefficiency in healthcare today: an under-informed, homogeneous approach to patient care that doesn't consider community disease prevalence and its effect on an individual's disease risk in an actionable manner. The approach is to combine real-time diagnostic information from select community members via an easy to use, gargle-based immunoassay detection test with more abundant contemporaneous community symptom reports via an online informatics platform. The hypothesis is that the likelihood of a virological diagnosis of influenza (flu) can be accurately predicted for the individual using real-time flu self-diagnostics and symptom information from their community, and can influence a user to take appropriate measures to prevent disease spread. This approach enables testing of several concepts regarding (1) the specificity and sensitivity of a rapid flu diagnostic test for Influenza A and B detection compared to a laboratory polymerase chain reaction test, (2) generation of valid user-contributed diagnostic information at scale (3), potential of real-time contextual data to be used to calculate influenza risk, (4) use and acceptance of this information by individuals. The team brings together experience in building and studying novel crowdsourced data sources for disease surveillance and expertise in software, graphic design, epidemiology, medicine, and engineering, to develop user-friendly systems that the community will employ at scale.The proposed system has substantial potential for beneficial societal impact through acertaining and changing the way people approach healthcare. Empowering individuals to generate and act on health information impresses on them the importance of surveillance and educates them to become more involved and accountable for their health. In order to maximize the impact and sustainability of the system, this system also functions as an educational tool. Clear open communication of anonymized and privacy-protected data to the general public in an easy to interpret manner will assist individuals, policy-makers and other researchers in using contextual disease risk information. Undergraduate and graduate students from a variety of backgrounds will have opportunity to participate in the research. Collaborators at the American Public Health Association and their associated groups concerned with the health of minority populations such as The Association of Minority Health Professions Schools and The Latina Health Project will assist in engaging a diverse group of participants nationwide.

该项目解决了当今医疗保健效率低下的主要效率：一种不明显的，同质的患者护理方法，该方法不认为社区疾病的患病率及其对个人疾病风险的影响以可行的方式。这种方法是通过易于使用的基于避孕的免疫测定检测测试将精选社区成员的实时诊断信息与更丰富的同时代社区症状报告通过在线信息学平台结合在一起。假设是，可以使用实时流感自我诊断和社区的症状信息准确地预测个人对流感（流感）的病毒学诊断的可能性，并且可以影响用户采取适当的措施防止疾病扩散。这种方法能够对（1）与实验室聚合酶链反应测试相比，对（1）对（1）快速流感诊断测试的特异性和敏感性进行测试，（2）生成有效的用户与用户构成的诊断信息（3），比例（3），实时数据的潜力，用于计算型型实时数据的潜在，以计算造成的影响，以计算该信息（4）使用该信息（4）信息（4）信息（4）信息。该团队汇集了建立和研究新颖的众包数据来源的疾病监视和专业知识，在软件，图形设计，流行病学，医学和工程方面的专业知识，以开发社区将在大规模上采用的用户友好系统。拟议的系统具有实质性的潜力，可以通过促进社会影响和改变医疗保健的方式来实现实质性的社会影响。赋予个人产生和行动的健康信息，给他们留下了深刻的印象，并教育他们更多地参与并对自己的健康负责。为了最大程度地提高系统的影响和可持续性，该系统还可以作为一种教育工具。以易于解释的方式向公众清楚将匿名和隐私保护数据的公开沟通将帮助个人，政策制定者和其他研究人员使用上下文疾病风险信息。来自各种背景的本科生和研究生将有机会参加研究。美国公共卫生协会及其关联团体的合作者与少数民族卫生教授协会和拉丁裔健康项目等少数民族的健康有关，将有助于吸引全国各种各样的参与者。