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      Growth in the development of health and fitness mobile apps amid COVID-19 pandemic

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          Abstract

          Objectives

          Technology in the form of mobile apps has played an essential role in facilitating, tracking, and maintaining health and fitness activities during the pandemic. When countries opted for partial or complete lockdowns to contain the spread of the coronavirus disease 2019 virus, it led to people working on their health and fitness-related activities from their homes, just as they continued working from home. This paper aims to quantify the impact of coronavirus disease 2019 on the development of health and fitness mobile apps. Specifically, we compute the effect of coronavirus disease 2019 on the growth of different sub-categories of health and fitness apps.

          Methods

          We scraped data about a population of 78,890 health and fitness apps from the iOS App Store. First, categories of health and fitness apps are identified using text analysis on the descriptions of apps. Second, the rise in the development of new apps is analyzed. To quantify the impact of coronavirus disease 2019 on the growth of the health and fitness apps, multiple time-series forecasting models are created for different categories of health and fitness apps.

          Results

          The text analysis identified twelve different types of health and fitness apps on the app market. Our models estimated that the number of health and fitness apps on the iOS app market exceeded the expected growth by 29.9% after the pandemic. The results of all categories of health and fitness are discussed in the paper.

          Conclusions

          Our analysis found significant growth in the development of new health and fitness apps after the pandemic outbreak. The post hoc study of the population of health and fitness apps presented the current state of this particular area of the app market. In addition, it provided potential growth areas in app markets where there are fewer apps.

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          Most cited references35

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          A new look at the statistical model identification

          IEEE Transactions on Automatic Control, 19(6), 716-723
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            Telemedicine and the COVID-19 Pandemic, Lessons for the Future

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              Rapid implementation of mobile technology for real-time epidemiology of COVID-19

              The rapid pace of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pandemic (COVID-19) presents challenges to the robust collection of population-scale data to address this global health crisis. We established the COronavirus Pandemic Epidemiology (COPE) consortium to bring together scientists with expertise in big data research and epidemiology to develop a COVID-19 Symptom Tracker mobile application that we launched in the UK on March 24, 2020 and the US on March 29, 2020 garnering more than 2.8 million users as of May 2, 2020. This mobile application offers data on risk factors, herald symptoms, clinical outcomes, and geographical hot spots. This initiative offers critical proof-of-concept for the repurposing of existing approaches to enable rapidly scalable epidemiologic data collection and analysis which is critical for a data-driven response to this public health challenge.
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                Author and article information

                Journal
                Digit Health
                Digit Health
                DHJ
                spdhj
                Digital Health
                SAGE Publications (Sage UK: London, England )
                2055-2076
                3 October 2022
                Jan-Dec 2022
                : 8
                : 20552076221129070
                Affiliations
                [1 ]Department of Business Analytics and Information Systems, Harbert College of Business, Auburn University, Auburn, AL, USA
                [2 ]Spears School of Business, Ringgold 7618, universityOklahoma State University; , Stillwater, OK, USA
                Author notes
                [*]Pankush Kalgotra, 222 Lowder Business Building, Raymond J. Harbert College of Business, Auburn University, Auburn, AL 36849, USA Email: pzk0031@ 123456auburn.edu
                Author information
                https://orcid.org/0000-0003-2684-0342
                Article
                10.1177_20552076221129070
                10.1177/20552076221129070
                9536106
                36211794
                7b73fc86-9589-4c25-88bc-63042338d0c8
                © The Author(s) 2022

                This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License ( https://creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access page ( https://us.sagepub.com/en-us/nam/open-access-at-sage).

                History
                : 8 July 2022
                : 9 November 2022
                Categories
                Original Research
                Custom metadata
                ts19
                January-December 2022

                covid-19 pandemic,health and fitness,mobile apps,trend analysis,text clustering,forecasting

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