Healthcare practitioners’ views of social media as an educational resource

Pizzuti, Adam G.; Patel, Karan; McCreary, Erin K; Heil, Emily L.; Bland, Christopher M.; Chinaeke, Eric E.; Love, Bryan L.; Bookstaver, P. Brandon

doi:10.1371/journal.pone.0228372

Cited by 65 publications

(60 citation statements)

References 33 publications

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“…ODH is about more than supporting data management. ODH provides learning opportunities to citizens, so that they can protect and take care of themselves when they share personal data on social networks [ 57 - 59 ]. At its core, ODH teaches people how to differentiate between real and fake news, which are disseminated over the mass media and the internet.…”

Section: The Five Dimensions: the Essential Fabric Of Interconnectionmentioning

confidence: 99%

One Digital Health: A Unified Framework for Future Health Ecosystems

Benis¹,

Tamburis²,

Chronaki³

et al. 2021

J Med Internet Res

119

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One Digital Health is a proposed unified structure. The conceptual framework of the One Digital Health Steering Wheel is built around two keys (ie, One Health and digital health), three perspectives (ie, individual health and well-being, population and society, and ecosystem), and five dimensions (ie, citizens’ engagement, education, environment, human and veterinary health care, and Healthcare Industry 4.0). One Digital Health aims to digitally transform future health ecosystems, by implementing a systemic health and life sciences approach that takes into account broad digital technology perspectives on human health, animal health, and the management of the surrounding environment. This approach allows for the examination of how future generations of health informaticians can address the intrinsic complexity of novel health and care scenarios in digitally transformed health ecosystems. In the emerging hybrid landscape, citizens and their health data have been called to play a central role in the management of individual-level and population-level perspective data. The main challenges of One Digital Health include facilitating and improving interactions between One Health and digital health communities, to allow for efficient interactions and the delivery of near–real-time, data-driven contributions in systems medicine and systems ecology. However, digital health literacy; the capacity to understand and engage in health prevention activities; self-management; and collaboration in the prevention, control, and alleviation of potential problems are necessary in systemic, ecosystem-driven public health and data science research. Therefore, people in a healthy One Digital Health ecosystem must use an active and forceful approach to prevent and manage health crises and disasters, such as the COVID-19 pandemic.

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Section: The Five Dimensions: the Essential Fabric Of Interconnectionmentioning

confidence: 99%

One Digital Health: A Unified Framework for Future Health Ecosystems

Benis¹,

Tamburis²,

Chronaki³

et al. 2021

J Med Internet Res

119

View full text Add to dashboard Cite

show abstract

“…The two matrices provided by Mallet are used for providing a graph representation allowing us in next step to handle the topics-words based graph through graph processing tools. This module is implemented using python and NetworkX 14 which is a Python package for the creation, manipulation, and study of the structure, dynamics, and functions of complex networks and it is distributed as open source 3clause BSD license. This module generates a file GEXF 15 (Graph Exchange XML Format).…”

Section: Building Graph Representationmentioning

confidence: 99%

“…Content provided by the user is growing during disasters in comparison with the normal situation. Therefore, the analysis of the such as epidemic virus spreading [12], prediction of the contagious population behaviour and accurate detection and identification of professionally unreported drug side effects using widely available public data (open data) [13,14].…”

Section: Introductionmentioning

confidence: 99%

“…Various types of research analyze the benefit of social media in monitoring the defending reaction against the disasters and for making accurate strategies in real-time by responding to the urgent population needs [ 2 – 4 ]. They focused on the use of social media in relation with different kinds of disasters such as the earthquake [ 5 – 7 ], tsunami [ 8 ], typhoons [ 9 ], storms [ 10 ], flood [ 11 ] and the health risks such as epidemic virus spreading [ 12 ], prediction of the contagious population behaviour and accurate detection and identification of professionally unreported drug side effects using widely available public data (open data) [ 13 , 14 ].…”

Section: Introductionmentioning

confidence: 99%

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Multilingual topic modeling for tracking COVID-19 trends based on Facebook data analysis

Taieb

Aouicha

2021

Appl Intell

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Social data has shown important role in tracking, monitoring and risk management of disasters. Indeed, several works focused on the benefits of social data analysis for the healthcare practices and curing domain. Similarly, these data are exploited now for tracking the COVID-19 pandemic but the majority of works exploited Twitter as source. In this paper, we choose to exploit Facebook, rarely used, for tracking the evolution of COVID-19 related trends. In fact, a multilingual dataset covering 7 languages (English (EN), Arabic (AR), Spanish (ES), Italian (IT), German (DE), French (FR) and Japanese (JP)) is extracted from Facebook public posts. The proposal is an analytics process including a data gathering step, pre-processing, LDA-based topic modeling and presentation module using graph structure. Data analysing covers the duration spanned from January 1st, 2020 to May 15, 2020 divided on three periods in cumulative way: first period January-February, second period March-April and the last one to 15 May. The results showed that the extracted topics correspond to the chronological development of what has been circulated around the pandemic and the measures that have been taken according to the various languages under discussion representing several countries.

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“…7 A recent report concluded that only 43% of healthcare practitioners who own social media accounts would utilise them for educational purposes, with the probability significantly decreasing in those ≥40 years old. 8 Additionally, in a survey encompassing more than 4,000 physicians, more than 90% of physicians reported the use of social media for personal activities. However, only 65% reported use of such platforms for professional purposes.…”

mentioning

confidence: 99%