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1.
Artificial Intelligence and Big Data Analytics for Smart Healthcare ; : 225-241, 2021.
Article in English | Scopus | ID: covidwho-2075780

ABSTRACT

The coronavirus disease 2019 (COVID-19) pandemic has already led to a dramatic loss of human life and has negatively affected the well-being of people, including numerous sectors such as health, work, economy, culture, as well as education. This kind of disruption not only has raised many concerns but it has also forced humans to interdisciplinary collaborations to fast find smart solutions if not an effective therapy and/or successful vaccines. Digital transformation is a main driver toward finding smart solutions often based on artificial intelligence and information communication technologies such as big data analytics and machine learning, combined with mainly the recent advancements in molecular biology, bioinformatics, and pharmacology as well as in areas related to health-care policies. This chapter examines ways of empowering the One Health approach and health resilience with digital technologies across Organisation for Economic Co-operation and Development countries using as a case study the COVID-19 pandemic. It also offers smart solutions and a framework on digital technologies that strengthen health systems, as illustrated by the fast deployment of various digital tools and resilient solutions that have allowed countries to better detect and prevent the spread of the disease and to effectively respond to the pandemic. © 2021 Elsevier Inc. All rights reserved.

2.
Frontiers in Education ; 7, 2022.
Article in English | Scopus | ID: covidwho-1963418

ABSTRACT

Despite the growing body of research on the consequences of the COVID-19 pandemic on children’s wellbeing, few studies so far have explored children’s points of view, while the majority were based on data collected during the first year of the pandemic. The present study attempted to capture children’s views 1 year after the beginning of the pandemic, and to this end, data were collected during Spring 2021 in Greece. Specifically, by combining verbal and visual data, the study attempted to explore children’s views of SARS-CoV-2 and COVID-19 preventive practices. Participants involved 320 children, ranging in age from 4 to 12 years, who were asked to verbally describe and draw (a) Coronavirus and (b) the preventive measures adopted to mitigate the pandemic. Data analysis indicated that overall, children’s views involve elements of scientifically appropriate information since from an early age they are able to describe and depict SARS-CoV-2 in ways that reflect the abundance of available verbal and visual information in the public sphere. Moreover, children recommended suitable COVID-19 preventive practices since their verbal and drawing responses included references to both the Hygienic and Social preventive practices that prevailed during the time of data collection. Age-related differences in children’s views, as well as differences between the two data collection techniques, were also found. Results also showed that children who described SARS-CoV-2 as a virus or a germ tended to report more hygienic practices than those who failed to describe the term appropriately. The findings shed light on the way children form their views of the novel coronavirus and COVID-19 and raise research educational implications. Copyright © 2022 Christidou, Bonoti, Papadopoulou, Hatzinikita and Doumpala.

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