The Impact of Mobile Technology in the Battle against COVID-19 Successes and Failures

Mobile 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 minimiz...

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Bibliographic Details
Other Authors: Giansanti, Daniele (Editor)
Format: Electronic Book Chapter
Language:English
Published: Basel MDPI - Multidisciplinary Digital Publishing Institute 2022
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DOAB: description of the publication
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520 |a Mobile 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. 
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653 |a COVID-19 
653 |a medical devices 
653 |a mHealth 
653 |a electronic surveys 
653 |a digital health 
653 |a digital divide 
653 |a telehealth 
653 |a telemedicine 
653 |a Twitter 
653 |a NLP 
653 |a healthcare professionals 
653 |a public health 
653 |a vaccines 
653 |a social media 
653 |a opioid use disorder treatment 
653 |a telehealth services 
653 |a qualitative 
653 |a needs assessment 
653 |a SARS-CoV2 
653 |a mobile technology 
653 |a heuristic evaluation 
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653 |a SARS-CoV-2 
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653 |a remote assistance 
653 |a remote rehabilitation 
653 |a survey 
653 |a technology 
653 |a eHealth 
653 |a telemonitoring 
653 |a telerehabilitation 
653 |a mobile health app 
653 |a digital content value chain 
653 |a infodemic 
653 |a pandemic 
653 |a infodemiology 
653 |a infoveillance 
653 |a Mawid app 
653 |a COVID-19 pandemic 
653 |a mobile application 
653 |a primary healthcare centers 
653 |a Al Hassa 
653 |a post-lockdown 
653 |a sedentary behavior 
653 |a physical activity 
653 |a food choice 
653 |a positive emotions 
653 |a desire to eat 
653 |a adult 
653 |a smartphone 
653 |a n/a 
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