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020 _a9783036547947
020 _a9783036547930
040 _aoapen
_coapen
041 0 _aeng
080 _a004
100 1 _aGiansanti, Daniele
_4edt
245 1 0 _aThe Impact of Mobile Technology in the Battle against COVID-19
_bSuccesses and Failures
260 _aBasel
_bMDPI - Multidisciplinary Digital Publishing Institute
_c2022
300 _a1 electronic resource (192 p.)
506 0 _aOpen Access
_2star
_fUnrestricted online access
520 _aMobile technology has undergone rapid development in the last decade and immediately found fertile ground for use in digital healthcare applications. The advantages both for citizens and the health domain are many and interconnected. During the pandemic, mobile technology was also useful for minimizing social distancing, epidemiological monitoring through contact tracing, psychological support, and maintaining social relationships. There is a particular need for scholars to focus both on the innovations in this field during the pandemic and on the problems hampering the use of mobile technology to facilitate the correct and effective introduction of this technology into routine clinical programs in stable health care models. All professionals working in this sector were encouraged to contribute with their experiences. This reprint contains contributions from various experts and different fields. Aspects relating to the success and failures of employment, the medical experience, and acceptance are addressed. Particular space was also given to the role of social media, the use of apps (also presenting critical issues), and innovative apps for contact tracing. The digital divide and the infodemic were also investigated along with their impacts on citizens during the pandemic, for example, in following government directives relating to prevention and vaccination. We dedicate the book to all those involved with different roles in digital health.
540 _aCreative Commons
_fhttps://creativecommons.org/licenses/by/4.0/
_2cc
546 _aEnglish
650 0 _aМобильные приложения
_2bicssc
_94543
653 _aCOVID-19
653 _amedical devices
653 _amHealth
653 _aelectronic surveys
653 _adigital health
653 _adigital divide
653 _atelehealth
653 _atelemedicine
653 _aTwitter
653 _aNLP
653 _ahealthcare professionals
653 _apublic health
653 _avaccines
653 _asocial media
653 _aopioid use disorder treatment
653 _atelehealth services
653 _aqualitative
653 _aneeds assessment
653 _aSARS-CoV2
653 _amobile technology
653 _aheuristic evaluation
653 _ausability
653 _aSaudi Arabia
653 _aSARS-CoV-2
653 _afrail people
653 _arare diseases
653 _aremote assistance
653 _aremote rehabilitation
653 _asurvey
653 _atechnology
653 _aeHealth
653 _atelemonitoring
653 _atelerehabilitation
653 _amobile health app
653 _adigital content value chain
653 _ainfodemic
653 _apandemic
653 _ainfodemiology
653 _ainfoveillance
653 _aMawid app
653 _aCOVID-19 pandemic
653 _amobile application
653 _aprimary healthcare centers
653 _aAl Hassa
653 _apost-lockdown
653 _asedentary behavior
653 _aphysical activity
653 _afood choice
653 _apositive emotions
653 _adesire to eat
653 _aadult
653 _asmartphone
653 _an/a
700 1 _aGiansanti, Daniele
_4oth
856 4 0 _awww.oapen.org
_uhttps://mdpi.com/books/pdfview/book/5861
_70
_zDownload
856 4 0 _awww.oapen.org
_uhttps://directory.doabooks.org/handle/20.500.12854/91215
_70
_zDescription
909 _c4
_dDarya Shvetsova
942 _2udc
_cEE
999 _c6353
_d6353