{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2023,7,1]],"date-time":"2023-07-01T04:29:03Z","timestamp":1688185743744},"reference-count":0,"publisher":"IOS Press","isbn-type":[{"value":"9781643684000","type":"print"},{"value":"9781643684017","type":"electronic"}],"license":[{"start":{"date-parts":[[2023,6,29]],"date-time":"2023-06-29T00:00:00Z","timestamp":1687996800000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2023,6,29]]},"abstract":"<jats:p>In this paper, we describe the 5-year trends of COVID-related mobile apps in the Google Play platform obtained by retrospectively analyzing app descriptions. Out of 21764 and 48750 unique apps available free of charge in the \u201cmedical\u201d and \u201chealth and fitness\u201d, there were 161 and 143 COVID-related apps, respectively. The prominentrise in apps\u2019 prevalence occurred in January 2021.<\/jats:p>","DOI":"10.3233\/shti230444","type":"book-chapter","created":{"date-parts":[[2023,6,30]],"date-time":"2023-06-30T07:52:15Z","timestamp":1688111535000},"source":"Crossref","is-referenced-by-count":0,"title":["COVID-19 Mobile Apps Trends Derived from Long-Term Google Play Analysis"],"prefix":"10.3233","author":[{"given":"Evgenii","family":"Pustozerov","sequence":"first","affiliation":[{"name":"Department of Digital Medicine, Medical Faculty OWL, Bielefeld University, Bielefeld, Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ute","family":"Von Jan","sequence":"additional","affiliation":[{"name":"Peter L Reichertz Institute for Medical Informatics of TU Braunschweig and Hannover Medical School, Hannover, Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Urs-Vito","family":"Albrecht","sequence":"additional","affiliation":[{"name":"Department of Digital Medicine, Medical Faculty OWL, Bielefeld University, Bielefeld, Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"7437","container-title":["Studies in Health Technology and Informatics","Healthcare Transformation with Informatics and Artificial Intelligence"],"original-title":[],"link":[{"URL":"https:\/\/ebooks.iospress.nl\/pdf\/doi\/10.3233\/SHTI230444","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,6,30]],"date-time":"2023-06-30T07:52:18Z","timestamp":1688111538000},"score":1,"resource":{"primary":{"URL":"https:\/\/ebooks.iospress.nl\/doi\/10.3233\/SHTI230444"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,6,29]]},"ISBN":["9781643684000","9781643684017"],"references-count":0,"URL":"https:\/\/doi.org\/10.3233\/shti230444","relation":{},"ISSN":["0926-9630","1879-8365"],"issn-type":[{"value":"0926-9630","type":"print"},{"value":"1879-8365","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,6,29]]}}}