MEDSCAN: Mobile Enabled Diagnostics for Schistosomiasis Control Analytics

MEDSCAN：用于血吸虫病控制分析的移动诊断

• 批准号: 10654812
• 负责人: Thomas F Scherr
• 金额: $ 63.34万
• 依托单位: VANDERBILT UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2021
• 资助国家: 美国
• 起止时间: 2021-07-09 至 2026-06-30
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10654812
• 关键词: Academic Medical Centers; Accounting; Acute; Address; Administrator; Africa South of the Sahara; Algorithms; Anatomy; Anemia; Child; Chronic; Computer software; Country; Data; Data Analyses; Data Collection; Development; Devices; Diagnostic; Diagnostic Equipment; Diagnostic tests; Diarrhea; Environment; Evaluation; Fatigue; Feedback; Focus Groups; Foundations; Friends; Funding; Goals; Growth; HIV; Health; Human Subject Research; Hypertension; Impairment; Infection; Institutional Review Boards; International; Intervention; Kenya; Knowledge; Laboratories; Libraries; Link; Longevity; Malaria Diagnosis; Malnutrition; Medical Research; Morbidity - disease rate; Online Systems; Pain; Performance; Persons; Pharmaceutical Preparations; Populations at Risk; Praziquantel; Preparation; Prophylactic treatment; Protocols documentation; Public Health; Recording of previous events; Research; Research Institute; Resolution; Risk; SARS-CoV-2 antibody; Schistosomiasis; School-Age Population; Sensitivity and Specificity; Site; Speed; System; Testing; Time; Universities; Update; World Health Organization; advanced analytics; antigen test; chemotherapy; cognitive development; dashboard; detection limit; diagnostic algorithm; disorder control; empowerment; experience; field study; flexibility; global health; image processing; improved; infection risk; iterative design; mHealth; member; mobile application; mobile computing; neglected tropical diseases; point of care; point of care testing; point-of-care diagnostics; primary outcome; programs; response; software development; standard care; success; surveillance study; tool; tool development; usability; web app; web platform

PROJECT SUMMARY Schistosomiasis is endemic in 54 countries and infects nearly 240 million people worldwide per year. Sub- Saharan Africa endures a disproportionate burden, accounting for over 90% of infections. In Kenya, the site of our study, 17 million out of the nation’s 50 million citizens are at risk for schistosomiasis infection. Of the at-risk population, school-aged children represent the primary risk group, and the many morbidities of infection are amplified over a child’s lifespan. After decades of mass drug administration, it is clear that more aggressive and targeted interventions are necessary to move towards the elimination of schistosomiasis. Unfortunately, this recognition has not yet resulted in the development of the tools that public health officials need to make this transition. To address this unmet need, we propose the development of the MEDSCAN (mobile enabled diagnostics for schistosomiasis control analytics) platform to improve schistosomiasis surveillance efforts. This software package builds off of the successful history that we have had in the development of image-processing algorithms for diagnostic purposes. MEDSCAN will consist of a mobile application that can analyze point-of-care diagnostic tests and a web-based administrator dashboard for viewing real-time operational performance metrics and other advanced analytics. We have assembled an interdisciplinary consortium that consists of mobile health software and global health expertise at Vanderbilt University, a world-leader in schistosomiasis diagnostics from Leiden University Medical Center, and a successful history of neglected tropical disease program management and field research at the Kenya Medical Research Institute. To meet our shared goals, our specific aims will: 1) evaluate the cellular network in Western Kenya in preparation for mobile health research, and develop the mobile and web platforms; 2) perform a usability analysis on the platform and make iterative refinements; 3) complete a thorough laboratory evaluation of the MEDSCAN application and a single-site pilot systems check; 4) use the MEDSCAN platform in a 10-month, observational surveillance study. By transforming the already widely utilized point-of-care test into a “connected” diagnostic, MEDSCAN can serve as the gateway to high-resolution surveillance that is necessary to shift efforts from control to elimination.

项目摘要 血吸虫病在54个国家 /地区是内在的，全球范围内近2.4亿人感染了2.4亿人。亚 撒哈拉非洲遭受了不成比例的伯恩，占感染的90％以上。在肯尼亚，该地点 我们的研究中，全国5000万公民有1700万人有血吸虫病感染的风险。处于危险中 人口，学龄儿童代表主要风险组，感染的许多病毒是 放大了孩子的寿命。 经过数十年的大规模药物管理，很明显，更具侵略性和有针对性的干预措施是 迈向消除血吸虫病的必要条件。不幸的是，这种认可尚未 导致了公共卫生官员需要进行过渡所需的工具的开发。解决这个问题 未满足的需求，我们提出了MEDSCAN的开发（启用移动性诊断诊断 控制分析）平台以改善血吸虫病监视工作。此软件包由 我们在开发诊断图像处理算法方面拥有的成功历史记录 目的。 MEDSCAN将由一个移动应用程序组成，该应用程序可以分析护理点诊断测试和 基于Web的管理员仪表板，用于查看实时操作绩效指标和其他高级 分析。 我们组建了一个由移动健康软件和全球组成的跨学科财团 范德比尔特大学的健康专业知识，莱顿大学的血吸虫病诊断世界领导者 医疗中心，以及被忽视的热带疾病计划管理和现场的成功历史 肯尼亚医学研究所的研究。为了实现我们的共同目标，我们的具体目标将：1）评估 肯尼亚西部的蜂窝网络为移动健康研究做准备，并开发移动和 Web平台； 2）在平台上执行可用性分析并进行迭代改进； 3）完成 对MEDSCAN应用和单站点试点系统检查的彻底实验室评估； 4）使用 在一项10个月的观察性监视研究中，MEDSCAN平台。 通过将已经广泛使用的护理测试转换为“连接”的诊断，MedScan可以 作为通往高分辨率监视的门户，这是将努力从控制转变为进化所必需的。