M-Health App for Tracking COVID-19 Infected People: A Case Study of Developing Countries

The impact of the COVID-19 pandemic has led to the use of M-Health apps for tracking COVID-19 infected people.So, the aim of this study was to develop a model that explains the adoption of M-Health apps for tracking COVID-19 infected people in developing countries. We tested the model based on data collected using an online survey with 283 participants. For data analysis , the partial least squares technique was used. The results revealed that the intention to use the Aman application was positively influenced by performance expectancy, social influence, Aman application quality, perceived self-efficacy, facilitating conditions, and perceived credibility. Moreover, it was negatively influenced by the perceived financial cost and the effort expectancy. M-Health apps are found as an approach to fighting COVID-19. Therefore, it is imperative to address the reasons that prevent the use of these apps. The implications of this are discussed.