An open-source digital contact tracing system tailored to haulage.

An open-source digital contact tracing system tailored to haulage.
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DOI:
10.3389/fdgth.2023.1199635
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发表时间:
2023
影响因子:
--
通讯作者:
Joloba, Moses
Joloba, Moses
中科院分区:
其他
文献类型:
--
作者:
Muwonge, Adrian;Wee, Bryan A.;Mugerwa, Ibrahimm;Nabunya, Emma;Mpyangu, Christine M.;Bronsvoort, Barend M. de C.;Ssebaggala, Emmanuel Robert;Kiayias, Aggelos;Mwaka, Erisa;Joloba, Moses

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与手动接触者追踪方法相比,数字接触者追踪具有许多优势,特别是在提高速度和自动化方面。然而,仍然缺乏对功能、效率、效益和社区接受度的全面评估。在这里,我们主要关注 THEA-GS 的功能,这是一种通过与利益相关者协商开发的开源数字接触者追踪工具。此外,我们还提供了对乌干达有限的运输司机样本实施情况的见解,作为低收入和中等收入国家的代表性案例。 THEA-GS 包括两个主要组件:(a) 智能手机应用程序,以及 (b) 一套负责数据处理和分析的服务器程序,包括数据库和带有仪表板的基于网络的界面。本质上,移动应用程序记录了道路网络中运输司机的时间戳位置,并通过分析停靠时间和与之相关的社区等因素来识别可能的传输热点。该工具可以与国家基础设施集成,以比较驾驶员的诊断结果和接触结构,从而生成与道路网络相关的个人和社区风险评估。在 COVID-19 大流行的 Omicron 变体浪潮期间,2021 年 10 月至 2022 年 10 月期间,共有 3,270 名运输司机注册。其中约 75% 的司机使用 THEA-GS 大约两个月。基于对 3,800 个测试结果(包括 48 个阳性病例、125 个接触者和 4000 万个带时间戳的 GPS 点)的分析,THEA-GS 显示出显着的速度改进,比 MCT 快约 90 倍。例如,从样本采集到通知病例及其接触者的平均时间分别约为 70 和 80 分钟。该工具的采用遇到了挑战,主要是由于驾驶员对其目的和对公共健康的好处的认识。 THEA-GS 是一种基于地点的数字接触者追踪工具,专门设计用于协助国家公共卫生机构管理涉及运输行业作为高风险群体的传染病爆发。虽然其实用性、接受度和准确性尚未得到充分评估,但我们在乌干达进行的初步测试表明该工具的功能很强大,但社会接受度和采用很大程度上依赖于在用户之间建立信任。
Digital contact tracing presents numerous advantages compared to manual contact tracing methods, especially in terms of enhanced speed and automation. Nevertheless, a lack of comprehensive evaluation regarding functionality, efficiency, benefits, and acceptance within communities remains. Here we primarily focus on the functionality of THEA-GS, an open-source digital contact tracing tool developed through consultation with stakeholders. Additionally, we provide insights from its implementation on a limited sample of haulage drivers in Uganda, serving as a representative case for a low- and middle-income country. THEA-GS comprises two primary components: (a) a smartphone application, and (b) a suite of server-programs responsible for data processing and analysis, including databases and a web-based interface featuring dashboards. In essence, the mobile application records the timestamped location of haulage drivers within the road network and identifies possible transmission hotspots by analyzing factors such as the duration of stops and the communities associated with them. The tool can be integrated with national infrastructure to compare drivers’ diagnostic results and contact structure, thereby generating individual and community risk assessments relative to the road network. During the Omicron-variant wave of the COVID-19 pandemic, a total of 3,270 haulage drivers were enrolled between October 2021 and October 2022. Around 75% of these drivers utilized THEA-GS for approximately two months. Based on an analysis of 3,800 test results, which included 48 positive cases, 125 contacts, and 40 million time-stamped GPS points, THEA-GS shows a significant speed improvement, being approximately 90 times faster than MCT. For instance, the average time from sample collection to notifying a case and their contacts was approximately 70 and 80 min, respectively. The adoption of this tool encountered challenges, mainly due to drivers’ awareness of its purpose and benefits for public health. THEA-GS is a place-based digital contact tracing tool specifically designed to assist National Public Health Institutions in managing infectious disease outbreaks involving the haulage industry as a high-risk group. While its utility, acceptance, and accuracy have not been fully evaluated, our preliminary tests conducted in Uganda indicate the tool’s functionality is robust, but social acceptance and adoption are heavily reliant on establishing trust among users.
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发表时间: 2022-03
期刊: The Lancet. Public health
影响因子: --
作者:
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影响因子: 2.9
作者:
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通讯作者: Joloba, Moses