MEDSCAN: Mobile Enabled Diagnostics for Schistosomiasis Control Analytics

MEDSCAN：用于血吸虫病控制分析的移动诊断

基本信息

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
项目类别：
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

项目摘要

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.

项目概要血吸虫病在 54 个国家流行，每年感染全世界近 2.4 亿人。撒哈拉非洲地区承受着不成比例的负担，占感染地肯尼亚的 90% 以上。我们的研究显示，全国 5000 万公民中有 1700 万面临感染血吸虫病的风险。人口中，学龄儿童是主要危险群体，感染的多种发病率是在孩子的一生中放大。经过几十年的大规模药物管理，显然需要采取更积极、更有针对性的干预措施不幸的是，这种认识尚未得到消除。导致了公共卫生官员实现这一转变所需的工具的开发，以解决这一问题。未满足的需求，我们建议开发 MEDSCAN（移动血吸虫病诊断）控制分析）平台，以改善血吸虫病监测工作。我们在开发诊断图像处理算法方面拥有成功的历史 MEDSCAN 将由一个可以分析即时诊断测试的移动应用程序和一个基于网络的管理员仪表板，用于查看实时运营绩效指标和其他高级分析。我们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健康专业知识、莱顿大学的血吸虫病诊断领域的世界领先地位医疗中心，以及被忽视的热带病项目管理和领域的成功历史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，为移动医疗研究做准备，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改进；3) 完成对 MEDSCAN 应用程序进行彻底的实验室评估并进行单点试点系统检查 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现场护理测试转变为“互联”诊断，MEDSCAN 可以作为高分辨率监视的门户，这是将努力从控制转向消除所必需的。