Home // eTELEMED 2023, The Fifteenth International Conference on eHealth, Telemedicine, and Social Medicine // View article
Authors:
Oresti Banos
Carlos Bailon
Miguel Damas
Carmen Goicoechea
Hector Pomares
Ciro Rodriguez
Claudia Villalonga
Keywords: COVID-19; smartphones; sensors; experience sampling; well-being
Abstract:
The coronavirus outbreak has impacted severely the well-being of populations all around the world. All of a sudden, people had to shift to remote work and social distancing measures, which resulted in profound changes to daily routines, causing stress, anxiety, and depression. Hence, it is important to understand the effects of COVID-19 on the well-being of populations, in order to make informed decisions on public health interventions and policy recommendations. This paper presents the first population study conducted within the context of the POSTCOVID-AI project, which combines mobile sensing and artificial intelligence techniques to shed new light on the impact of COVID-19 on the well-being of the Spanish population. The aim of this article is to present the methodological framework, data collection, and preliminary results generated for this study, as well as the future directions towards the achievement of the goal of the project.
Pages: 50 to 54
Copyright: Copyright (c) IARIA, 2023
Publication date: April 24, 2023
Published in: conference
ISSN: 2308-4359
ISBN: 978-1-68558-080-3
Location: Venice, Italy
Dates: from April 24, 2023 to April 28, 2023