MEDSCAN: Mobile Enabled Diagnostics for Schistosomiasis Control Analytics

项目总结 血吸虫病在54个国家流行，每年感染全世界近2.4亿人。子- 撒哈拉非洲承受着不成比例的负担，占感染人数的90%以上。在肯尼亚， 我们的研究显示，全国5000万公民中有1700万人面临感染血吸虫病的风险。处于危险之中的 人口、学龄儿童是主要的危险群体，感染的许多病症是 在孩子的一生中被放大了。 经过几十年的大规模药物管理，很明显，更积极和有针对性的干预措施正在 有必要朝着消灭血吸虫病的方向迈进。不幸的是，这种认识还没有 结果是开发了公共卫生官员进行这一过渡所需的工具。要解决这个问题 对于尚未满足的需求，我们建议开发MEDSCAN(移动使能血吸虫病诊断系统 控制分析)平台，以改进血吸虫病监测工作。此软件包构建于 我们在开发用于诊断的图像处理算法方面的成功历史 目的。MEDSCAN将由一个移动应用程序组成，该应用程序可以分析医疗保健点诊断测试和 基于Web的管理员控制面板，用于查看实时运营绩效指标和其他高级 分析。 我们已经组建了一个跨学科联盟，由移动健康软件和全球 范德比尔特大学的卫生专业知识，莱顿大学血吸虫病诊断的世界领先者 医学中心，以及被忽视的热带病项目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)对平台进行可用性分析，并进行迭代求精；3)完成 对MEDSCAN应用程序和单点试点系统检查进行全面的实验室评估；4)使用 MEDSCAN平台进行了为期10个月的观察性监测研究。 通过将已经广泛使用的医疗点测试转变为一种“互联”诊断，MEDSCAN可以 作为高分辨率监测的门户，这是将努力从控制转向消除所必需的。

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.