对印度COVID-19移动医疗应用程序持续使用情况的建模预测

R. Mittal, A. Mittal, Arun Aggarwal
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引用次数: 1

摘要

在COVID-19大流行的最初几天,印度移动健康应用程序Aarogya Setu通过对感染者的接触者追踪方法和消除新型冠状病毒的健康提示,在接触性追踪和疾病管理方面做出了重大贡献。本研究的目的是预测印度消费者是否会继续使用这款应用程序。根据之前的研究,环境或设置对客户的感知价值有重大影响。当前研究的独特设置是调查影响印度人持续使用移动移动健康应用程序AarogyaSetu的参数。为了实现这一广泛的目标,已经提出并测试了一个扩展的技术采用模型(TAM),并增加了三个额外的结构:社会影响、健康意识和对应用程序开发人员的信任。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Modeling the Prediction of Continued Usage of COVID-19 mhealth App in India
Indian m-health app Aarogya Setu has made a significant contribution in terms of contactability tracing and disease management during the initial days of the COVID-19 pandemic, with its contact tracking approach to infectious individuals and its health tips for eliminating new coronaviruses. The goal of this study is to forecast whether or not Indian consumers will continue to use this app. According to previous studies, the context or setting has a substantial impact on the customer's perceived value. The current study's unique setting is to investigate the parameters impacting Indians' ongoing use of the mobile mHealth app AarogyaSetu. An extended technology adoption model (TAM) has been proposed and tested to achieve this wide goal, with the addition of three additional constructs: social influence, health consciousness, and trust in the app developer.
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