Advancing One Health Data Capture at the Point of Zoonotic Spillover in the Congo Basin Forest Perimeter

在刚果盆地森林周边人畜共患病蔓延时推进单一健康数据采集

• 批准号: 10741526
• 负责人: Tierra Smiley Evans
• 金额: $ 20.94万
• 依托单位: UNIVERSITY OF CALIFORNIA AT DAVIS
• 依托单位国家: 美国
• 财政年份: 2023
• 资助国家: 美国
• 起止时间: 2023-08-17 至 2025-05-31
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10741526
• 关键词: Acute; Address; Africa; Africa South of the Sahara; Antibodies; Biodiversity; Border Community; Cellular Phone; Chikungunya virus; Chiroptera; Collaborations; Communicable Diseases; Communication; Communities; Congo; Data; Data Analytics; Data Collection; Democratic Republic of the Congo; Dengue Fever; Detection; Disease; Disease Outbreaks; Disease Surveillance; Early Diagnosis; Early identification; Ebola Hemorrhagic Fever; Ebola virus; Ecosystem; Emerging Communicable Diseases; Epidemiology; Event; Fever; Filovirus; Funding; Goals; Health; Health Personnel; Health Professional; Health care facility; Hospitals; Household; Human; Human Resources; Immunoglobulin G; Incidence; Infrastructure; Machine Learning; Marburg Virus Disease; Methods; Modeling; Monitor; Morbidity - disease rate; National Institute of Allergy and Infectious Disease; Outcome; Patients; Pattern; Phase; Population; Primates; Proliferating; Reaction Time; Reporting; Research; Risk; Risk Factors; Sampling; Specimen; Surveillance Program; System; Systems Analysis; Technology; Telephone; Testing; Time; Uganda; Virus; Yellow Fever; Zika Virus; Zoonoses; dashboard; data dissemination; data streams; deep neural network; design; electronic data; falls; forest; future outbreak; health data; health empowerment; human data; improved; mHealth; machine learning algorithm; member; mortality; new outbreak; next generation; pandemic potential; pathogen; preempt; prevent; prevent outbreaks; programs; prospective; remote communities; smartphone application; spillover event; surveillance network; technology platform; tool; trend; zoonotic spillover

Project Summary Due to human encroachment on the fragile ecosystems of the Congo basin forest perimeter, spillover of zoonotic pathogens into border communities have proliferated and resulted in worldwide implications. The region of the Bwindi Impenetrable Forest, located in the southwestern corner of Uganda bordering the Democratic Republic of Congo (DRC) is a biodiversity hotspot harboring among the largest number of primate and bat species of any forest in Africa. It is also situated in one of the most densely human populated regions of Africa. Healthcare facilities in this region remain vigilant for an outbreak of Ebola virus disease (EVD) or Marburg hemorrhagic fever (MHF). This is especially timely given the recent confirmed outbreaks of EVD in neighboring districts. Utilizing a One Health approach, this project will build an essential surveillance infrastructure for investigating ebolavirus and other zoonotic disease spillover events by developing an integrated mHealth system that allows healthcare providers to monitor outbreaks of disease in both humans and wildlife simultaneously. The goal of this surveillance system is to improve detection of zoonotic spillover in the Bwindi region and help to answer decades long questions about the ecological scenarios supporting ebolavirus emergence, enabling forecasting that could help prevent future outbreaks. Specifically, during the R21 phase of this project we will: (1) develop a Village Health Team (VHT) data collection system to capture AFI and wildlife morbidity / mortality information in remote forest settings using a One Health smartphone based APP and community-based SMS system; (2) develop a passive geo-location system using cell-phone tower triangulation with machine learning optimization that can be implemented across smartphone and non-smartphone-based technologies to improve accuracy in localization of outbreaks; and (3) create an integrated One Health AFI outbreak alert system operational in the Bwindi region, optimized for rapid and accurate detection of outbreaks. During the R33 phase of this project we will: (1) refine, expand and evaluate the tiered mHealth surveillance platform for improved longitudinal AFI case identification; and (2) utilize the Bwindi mHealth surveillance system to investigate the epidemiology of ebolavirus exposure associated with wildlife contact in the region. This project is well integrated with existing NIAID funded AFI surveillance programs and collaborates closely with the Ugandan Ministry of Health. This project will provide an optimal scenario for rigorously evaluating the benefits of adding an mHealth component to long term zoonotic disease monitoring, benefiting the sustainability of all developed platforms.

项目概要 由于人类侵占刚果盆地森林周边脆弱的生态系统，人畜共患病的溢出 进入边境社区的病原体已经扩散并造成了世界范围的影响。该地区的 布温迪密林，位于乌干达西南角，与民主共和国接壤 刚果（金）是一个生物多样性热点地区，拥有世界上数量最多的灵长类动物和蝙蝠物种 非洲的森林。它也位于非洲人口最稠密的地区之一。卫生保健 该地区的设施对埃博拉病毒病 (EVD) 或马尔堡出血热的爆发保持警惕 （MHF）。鉴于最近确认邻近地区爆发了埃博拉病毒病，这一举措显得尤为及时。利用一个 一种健康方法，该项目将为调查埃博拉病毒建立一个重要的监测基础设施 通过开发集成的移动医疗系统来应对其他人畜共患疾病的溢出事件，该系统允许医疗保健 提供者同时监测人类和野生动物的疾病爆发。此举的目标 监测系统旨在改善布温迪地区人畜共患病溢出的检测，并帮助解决数十年的问题 关于支持埃博拉病毒出现的生态场景的长期问题，使预测能够 有助于预防未来的疫情爆发。具体来说，在该项目的 R21 阶段，我们将： (1) 开发一个村庄 健康团队 (VHT) 数据收集系统，用于捕获远程 AFI 和野生动物发病/死亡信息 使用基于 One Health 智能手机的应用程序和基于社区的短信系统进行森林设置； (2) 开发一个 使用手机塔三角测量和机器学习优化的无源地理定位系统 跨智能手机和非智能手机技术实施，以提高本地化的准确性 爆发； (3) 创建一个在布温迪地区运行的综合 One Health 非洲猪瘟疫情警报系统， 针对快速、准确地检测疫情进行了优化。在该项目的 R33 阶段，我们将：(1) 完善， 扩展和评估分层移动医疗监测平台，以改进纵向 AFI 病例识别； (2) 利用 Bwindi mHealth 监测系统调查埃博拉病毒暴露的流行病学 与该地区野生动物的接触有关。该项目与现有的 NIAID 资助的 AFI 很好地结合在一起 监测计划并与乌干达卫生部密切合作。该项目将提供一个 严格评估将移动医疗组件添加到长期人畜共患疾病中的好处的最佳方案 疾病监测，有利于所有已开发平台的可持续性。