Feasibility of using a mobile App to monitor and report COVID-19 related symptoms and people’s movements in Uganda

Author:

Mugenyi LevicatusORCID,Nsubuga Rebecca Namugabwe,Wanyana Irene,Muttamba Winters,Tumwesigye Nazarius Mbona,Nsubuga Saul HanningtonORCID

Abstract

Background Feasibility of mobile Apps to monitor diseases has not been well documented particularly in developing countries. We developed and studied the feasibility of using a mobile App to collect daily data on COVID-19 symptoms and people’s movements. Methods We used an open source software “KoBo Toolbox” to develop the App and installed it on low cost smart mobile phones. We named this App “Wetaase” (“protect yourself”). The App was tested on 30 selected households from 3 densely populated areas of Kampala, Uganda, and followed them for 3 months. One trained member per household captured the data in the App for each enrolled member and uploaded it to a virtual server on a daily basis. The App is embedded with an algorithm that flags participants who report fever and any other COVID-19 related symptom. Results A total of 101 participants were enrolled; 61% female; median age 23 (interquartile range (IQR): 17–36) years. Usage of the App was 78% (95% confidence interval (CI): 77.0%–78.8%). It increased from 40% on day 1 to a peak of 81% on day 45 and then declined to 59% on day 90. Usage of the App did not significantly vary by site, sex or age. Only 57/6617 (0.86%) records included a report of at least one of the 17 listed COVID-19 related symptoms. The most reported symptom was flu/runny nose (21%) followed by sneezing (15%), with the rest ranging between 2% and 7%. Reports on movements away from home were 45% with 74% going to markets or shops. The participants liked the “Wetaase” App and recommended it for use as an alert system for COVID-19. Conclusion Usage of the “Wetaase” App was high (78%) and it was similar across the three study sites, sex and age groups. Reporting of symptoms related to COVID-19 was low. Movements were mainly to markets and shops. Users reported that the App was easy to use and recommended its scale up. We recommend that this App be assessed at a large scale for feasibility, usability and acceptability as an additional tool for increasing alerts on COVID-19 in Uganda and similar settings.

Funder

Uganda Government

Publisher

Public Library of Science (PLoS)

Subject

Multidisciplinary

Reference21 articles.

1. The epidemiology and pathogenesis of coronavirus disease (COVID-19) outbreak;HA Rothan;Journal of Autoimmunity,2020

2. WHO. Coronavirus disease (COVID-19) Pandemic [Internet]. Situation Reports. 2021 [cited 2021 Apr 16]. https://www.who.int/emergencies/diseases/novel-coronavirus-2019.

3. Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China;C Huang;Lancet,2020

4. Daily Monitor. Uganda releases new findings on COVID-19. 2020 May 27; www.monitor.co.ug.

5. Asymptomatic transmission of covid-19 What we know, and what we don’ t;AM Pollock;BMJ,2020

Cited by 8 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Using mHealth Technologies for Case Finding in Tuberculosis and Other Infectious Diseases in Africa: Systematic Review;JMIR mHealth and uHealth;2024-08-26

2. Traveler-Related Mobile Application for Infectious Disease Self-Monitoring;Journal Infectology;2024-07-10

3. Feasibility of “Symptom Discovery,” a Longitudinal and Comprehensive Data Collection Tool During COVID-19;Studies in Health Technology and Informatics;2024-01-25

4. KoboToolbox;Open Electronic Data Capture Tools for Medical and Biomedical Research and Medical Allied Professionals;2024

5. Global Health Informatics: the state of research and lessons learned;Journal of the American Medical Informatics Association;2023-03-16

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3