Developing digital contact tracing tailored to haulage in East Africa to support COVID-19 surveillance: a protocol.
Developing digital contact tracing tailored to haulage in East Africa to support COVID-19 surveillance: a protocol.
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DOI：
10.1136/bmjopen-2021-058457
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发表时间：
2022-09-02
期刊：
影响因子：
2.9
通讯作者：
Joloba, Moses
中科院分区：
文献类型：
--
作者：
Muwonge, Adrian;Mpyangu, Christine Mbabazi;Nsangi, Allen;Mugerwa, Ibrahim;Bronsvoort, Barend M. deC;Porphyre, Thibaud;Ssebaggala, Emmanuel Robert;Kiayias, Aggelos;Mwaka, Erisa Sabakaki;Joloba, Moses
在 2020 年 5 月乌干达第一波 SARS-CoV-2 高峰期，三分之一的 COVID-19 病例与运输行业有关。这引发了所有出入境口岸强制要求 PCR 检测结果呈阴性的要求，导致运输司机不得不等待 24 至 48 小时才能得到结果，导致严重延误，严重削弱了地区供应链。为了支持公共卫生和经济复苏，我们的目标是开发和测试基于手机的数字接触者追踪 (DCT) 工具，该工具既增强了传统的接触者追踪，又提高了其速度和效率。为了测试 DCT 工具，我们将使用运输司机旅程的分层样本，按路线类型（区域和本地旅程）分层。我们将在网络上通过乌干达纳入至少 65% 的约 83 200 的运输司机旅程。这使我们能够捕获可能影响 DCT 工具的使用和采用的用户人口统计和社会经济特征的变化。开发的 DCT 工具将包括一个移动应用程序和网络界面，用于整理和智能处理数据，其输出将支持决策、资源分配并提供预测流行病波的数学模型。主要预期成果将是一款经过开源测试、专为发展中国家运输使用而定制的 DCT 工具。这项研究将为低收入国家抗击流行病所需的 DCT 技术的安全部署提供信息。这项工作已获得麦克雷雷大学公共卫生高等学位学院、研究和伦理委员会以及乌干达国家科学技术委员会的伦理批准。这项工作将通过同行评审的出版物、我们的网站 https://project-thea.org/ 和开源代码的 Github https://github.com/project-thea/ 进行传播。
At the peak of Uganda’s first wave of SARS-CoV-2 in May 2020, one in three COVID-19 cases was linked to the haulage sector. This triggered a mandatory requirement for a negative PCR test result at all ports of entry and exit, resulting in significant delays as haulage drivers had to wait for 24–48 hours for results, which severely crippled the regional supply chain. To support public health and economic recovery, we aim to develop and test a mobile phone-based digital contact tracing (DCT) tool that both augments conventional contact tracing and also increases its speed and efficiency. To test the DCT tool, we will use a stratified sample of haulage driver journeys, stratified by route type (regional and local journeys). We will include at least 65% of the haulage driver journeys ~83 200 on the network through Uganda. This allows us to capture variations in user demographics and socioeconomic characteristics that could influence the use and adoption of the DCT tool. The developed DCT tool will include a mobile application and web interface to collate and intelligently process data, whose output will support decision-making, resource allocation and feed mathematical models that predict epidemic waves. The main expected result will be an open source-tested DCT tool tailored to haulage use in developing countries. This study will inform the safe deployment of DCT technologies needed for combatting pandemics in low-income countries. This work has received ethics approval from the School of Public Health Higher Degrees, Research and Ethics Committee at Makerere University and The Uganda National Council for Science and Technology. This work will be disseminated through peer-reviewed publications, our websites https://project-thea.org/ and Github for the open source code https://github.com/project-thea/.
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DOI：
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发表时间：
2015-07
期刊：
Journal of empirical research on human research ethics : JERHRE
影响因子：
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作者：
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