为资源有限的国家抗击冠状病毒大流行等传染病提供全面易用的技术-人力解决方案

Omkar Manjrekar , Rathin Biswas , Aditya Agrawal , Nilesh Barandwal , Abhishek Gupta , Pranjal Chaudhari , Sharad Mishra , Kedar Anavardekar , Vikrant Fernandes , Kavi Arya
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引用次数: 0

摘要

随着新型冠状病毒的出现,各国政府和当局推出了各种移动应用程序来抗击COVID-19。然而,这些要么受到发展中国家的限制,要么不包括某些关键特征,因此,来自低收入或中等收入国家的大量人口仍然享受不到相关福利。本研究的目的是探索和展示如何构建一个全面且易于使用的移动医疗服务提供应用程序,特别是针对COVID-19等传染病。大多数开源技术用于构建分布式可伸缩的客户机-服务器应用程序。然后使用压力测试和可用性测试对应用程序进行评估。除了COVID-19咨询和指南外,该研究还展示了基于物联网的移动应用程序的完整概念化和开发。它包括三个关键特性,带来了全面性。一种是“接触记录仪”。追踪器,使用户能够维护联系人列表,如果在过去14天内有人报告COVID-19呈阳性,就会收到通知。二是“自我评估”,帮助用户利用科学原理预测COVID-19感染的可能性。三是“感染追踪器”,引导用户识别受感染的热点,并据此规划路线。可用性测试确认应用程序易于使用。此外,本研究还演示了如何使用开源资源构建这样一个易于使用的应用程序。它可以帮助来自资源有限国家的有需要的当局或团体迅速采用和开发此类应用程序。对实施后效果的进一步研究将增加本研究的价值。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A comprehensive easy-to-use techno-human solution for the resource-constrained nations in the fight against communicable disease like the coronavirus pandemic

Following the advent of the novel Coronavirus, the governments and authorities introduced various mobile applications in the fight against COVID-19. However, these are either restricted by the developer country or not comprised of certain key features, due to which, a vast population from the low- or middle-income country, remains underprivileged from associated benefits. The purpose of this study is to explore and demonstrate how to build a comprehensive and easy-to-use application for mobile health service delivery especially fabricated to fight communicable diseases like COVID-19. Mostly open-source technologies are used to build a distributed scalable client-server application. Then the application is evaluated with the stress-test and usability-test. Besides COVID-19 advisories and guidelines, the study demonstrates complete conceptualization and development of an IoT-based mobile application. It comprises three key features that bring comprehensiveness. One is the ‘contact logger & tracer’ that enables users to maintain a list of contacts who get notified if any of them reported COVID-19 positive in the last 14 days. Two is the ‘self-assessment' which helps users to predict the chances of COVID-19 infection using a scientific rationale. Three is the ‘infection tracker’ that guides users to identify infected hotspots to plan the route accordingly. The usability-test affirmed that the application is easy-to-use. Further, this study demonstrates how to construct such an easy-to-use application mostly with open-source resources. It can help the needy authorities or groups from resource-constrained countries to adopt and develop such applications quickly. Further research on the post-implementation effect will add value to this study.

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