Fear of Covid-19 and COVID-19 Anxiety Predict Cyberchondria: Intolerance of Uncertainty and Anxiety Sensitivity as Potential Risk Factors.

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Studies have highlighted that fear and anxiety generated by the coronavirus disease 2019 (COVID-19) are important psychological factors that affect all populations studied. There is currently still a lack of […]

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Artificial intelligence can improve patient management at the time of pandemic: The role of voice technology.

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Artificial intelligence (AI)-driven voice technology deployed on mobile phones and smart speakers has a potential to improve patient management and organizational workflow. Voice chatbots have been already implemented in healthcare […]

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Interests, Motives, and Psychological Burdens in Times of Crisis and Lockdown: Google Trends as Information Source for Policy Makers.

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In the face of the COVID-19 pandemic, the German government and the sixteen German federal states issued a variety of non-pharmaceutical interventions (NPIs) to decelerate the spread of the so-called […]

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Predicting outcomes in the Machine Learning era: The Piacenza score a purely data driven approach for mortality prediction in COVID-19 Pneumonia.

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Several models have been developed to predict mortality in patients with COVID-19 pneumonia, but only few have demonstrated enough discriminatory capacity. Machine-learning algorithms represent a novel approach for data-driven prediction […]

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Authors’ Reply to: COVID-19 – Potential ‘force majeure’ for Non-COVID-19 Research. Comment on “Analysis of Scientific Publications During the Early Phase of the COVID-19 Pandemic: Topic Modeling Study”.

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No abstract.No abstract.No abstract. View the full article @ Journal of medical Internet research Get PDF with LibKey Authors: Andreas Älgå, Oskar Eriksson, Martin Nordberg

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Authors’ Reply to: Methodological Clarifications and Generalizing from Weibo Data. Comment on “Nature and Diffusion of COVID-19-related Oral Health Information on Chinese Social Media: Analysis of Tweets on Weibo”.

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N.A.N.A.N.A. View the full article @ Journal of medical Internet research Get PDF with LibKey Authors: Zhuo-Ying Tao, Yu-Xiong Su

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Authors’ Reply to: Screening Tools: Their Intended Audiences and Purposes. Comment on “Diagnostic Accuracy of Web-Based COVID-19 Symptom Checkers: Comparison Study”.

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N/A.N/A.N/A. View the full article @ Journal of medical Internet research Get PDF with LibKey Authors: Nicolas Munsch, Alistair Martin, Stefanie Gruarin, Jama Nateqi, Isselmou Abdarahmane, Rafael Weingartner-Ortner, Bernhard Knapp

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Minimizing Selection and Classification Biases. Comment on “Clinical Characteristics and Prognostic Factors for Intensive Care Unit Admission of Patients With COVID-19: Retrospective Study Using Machine Learning and Natural Language Processing”.

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NA.NA.NA. View the full article @ Journal of medical Internet research Get PDF with LibKey Authors: Francisco Martos Pérez, Ricardo Gomez Huelgas, María Dolores Martín Escalante, José Manuel Casas Rojo

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Redundancy of Terms in Search Strategies. Comment on “Searching PubMed to Retrieve Publications on the COVID-19 Pandemic: Comparative Analysis of Search Strings”.

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N/A.N/A.N/A. View the full article @ Journal of medical Internet research Get PDF with LibKey Authors: Daniel Melo De Oliveira Campos, Umberto Laino Fulco, Jonas Ivan Nobre Oliveira

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Perceptions of mHealth applications and features to support psychosocial wellbeing among frontline healthcare workers involved in the COVID-19 pandemic response.

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Frontline healthcare workers are experiencing a myriad of physical and psychosocial challenges amid the COVID-19 pandemic. There is growing recognition that digital technologies have potential for improving wellbeing of frontline […]

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COVID-19: An analysis of electronic social media and research publication activity during the early stages of the pandemic.

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The COVID-19 pandemic highlighted the importance of rapid dissemination of scientific and medical discovery. Current platforms available to distribute scientific and clinical research data and information include preprint repositories and […]

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Characteristics of citizens and their use of teleconsultation in Primary Care in the Catalan public health system before and during COVID: Retrospective Descriptive Cross-Sectional Study.

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eConsulta (asynchronous and two-way teleconsultation in Primary Care) is one of the most important telemedicine developments in the Catalan public health system, a service that has been heavily boosted by […]

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Correction: Impact of the COVID-19 Pandemic on Health Care Utilization in a Large Integrated Health Care System: Retrospective Cohort Study.

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[This corrects the article DOI: 10.2196/26558.]. View the full article @ Journal of medical Internet research Get PDF with LibKey Authors: Stanley Xu, Sungching Glenn, Lina Sy, Lei Qian, Vennis […]

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Estimating the COVID-19 spread through real-time population mobility patterns: surveillance in Low- and Middle- income countries.

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On January 30, 2020, the World Health Organization (WHO) declared the current novel coronavirus disease 2019 (COVID-19) as a public health emergency of international concern and later characterized it as […]

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Priority Given to Technology in Government-Based Mental Health and Addictions Vision and Strategy Documents: Systematic Policy Review.

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The use of information and communication technologies (ICTs) to deliver mental health and addictions (MHA) services is a global priority, especially considering the urgent shift towards virtual delivery of care […]

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Evaluation of a Novel e-Learning Program for Physiotherapists to Manage Knee Osteoarthritis via Telehealth: Qualitative Study Nested in the PEAK (Physiotherapy Exercise and Physical Activity for Knee Osteoarthritis) Randomized Controlled Trial.

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The delivery of physiotherapy via telehealth could provide more equitable access to services for patients. Videoconference-based telehealth has been shown to be an effective and acceptable mode of service delivery […]

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