Journal of Medical Internet Research

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The Effectiveness of Serious Games in Alleviating Anxiety: Systematic Review and Meta-analysis

These databases were searched on June 29, 2021, by the first author (A Abd-alrazaq). We also set up automatic alerts, as needed, to retrieve weekly searches for 12 weeks (ending on August 28, 2021). Furthermore, we searched Google Scholar to identify gray literature. We considered only the first 10 pages (ie, 100 hits), as Google Scholar retrieves a vast number of studies, and it organizes them based on their relevance.

Alaa Ali Abd-alrazaq, Mohannad Alajlani, Dari Alhuwail, Jens Schneider, Laila Akhu-Zaheya, Arfan Ahmed, Mowafa Househ

JMIR Serious Games 2022;10(1):e29137

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Overview of Technologies Implemented During the First Wave of the COVID-19 Pandemic: Scoping Review

Alaa Ali Abd-Alrazaq, Asmaa Hassan, Israa Abuelezz, Arfan Ahmed, Mahmood Saleh Alzubaidi, Uzair Shah, Dari Alhuwail, Anna Giannicchi, Mowafa Househ

J Med Internet Res 2021;23(9):e29136

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A Comprehensive Overview of the COVID-19 Literature: Machine Learning–Based Bibliometric Analysis

Alaa Ali Abd-Alrazaq, Jens Schneider, Borbala Mifsud, Tanvir Alam, Mowafa Househ, Mounir Hamdi, Zubair Shah

J Med Internet Res 2021;23(3):e23703

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Patients’ Perspectives About Factors Affecting Their Use of Electronic Personal Health Records in England: Qualitative Analysis

Alaa Ali Abd-Alrazaq, Zeineb Safi, Bridgette M Bewick, Mowafa Househ, Peter H Gardner

J Med Internet Res 2021;23(1):e17500

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Artificial Intelligence in the Fight Against COVID-19: Scoping Review

Alaa Ali Abd-Alrazaq, Mohannad Alajlani, Dari Alhuwail, Jens Schneider, Saif Al-Kuwari, Zubair Shah, Mounir Hamdi, Mowafa Househ

J Med Internet Res 2020;22(12):e20756

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Patients’ Adoption of Electronic Personal Health Records in England: Secondary Data Analysis

This study aims to improve the predictive power of the Abd-Alrazaq model by proposing new relationships between the variables existing in the model. In a previous study [38], the Unified Theory of Acceptance and Use of Technology (UTAUT) [39] was selected from 12 models as the theoretical foundation.

Alaa Ali Abd-Alrazaq, Ali Abdallah Alalwan, Brian McMillan, Bridgette M Bewick, Mowafa Househ, Alaa T AL-Zyadat

J Med Internet Res 2020;22(10):e17499

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Top Concerns of Tweeters During the COVID-19 Pandemic: Infoveillance Study

We normalized Twitter user mentions by converting, for example, “@Alaa” to “@username.” Furthermore, various forms of the same word (eg, travels, traveling, and travel’s) were lemmatized by converting them to the main word (eg, travel) using the Word Net Lemmatizer module of the Natural Language Toolkit Python library. The data preprocessing is depicted in Figure 1.

Alaa Ali Abd-Alrazaq, Dari Alhuwail, Mowafa Househ, Mounir Hamdi, Zubair Shah

J Med Internet Res 2020;22(4):e19016

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Factors Affecting Patients’ Use of Electronic Personal Health Records in England: Cross-Sectional Study

According to a systematic review conducted by Abd-alrazaq and colleagues [23], there are no published studies on factors affecting patients’ use of e PHRs in England.

Alaa Ali Abd-Alrazaq, Bridgette M Bewick, Tracey Farragher, Peter Gardner

J Med Internet Res 2019;21(7):e12373

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