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Physiological Sensors Equipped in Wearable Devices for Management of Long COVID Persisting Symptoms: Scoping Review
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Physiological Sensors Equipped in Wearable Devices for Management of Long COVID Persisting Symptoms: Scoping Review

Wearable devices have emerged as essential tools in the detection and management of COVID-19 due to their ability to continuously monitor key physiological metrics such as heart rate, oxygen saturation, and body temperature in real time [1,2]. These devices provide a proactive approach to identifying early signs of COVID-19, enabling timely interventions even before severe symptoms appear.

Shikha Kukreti, Meng-Ting Lu, Chun-Yin Yeh, Nai-Ying Ko

J Med Internet Res 2025;27:e69506

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Beliefs in Misinformation About COVID-19 and the Russian Invasion of Ukraine Are Linked: Evidence From a Nationally Representative Survey Study
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Beliefs in Misinformation About COVID-19 and the Russian Invasion of Ukraine Are Linked: Evidence From a Nationally Representative Survey Study

Consequently, the focus on COVID-19 pandemic has receded, along with COVID-19 misinformation in the web-based environment [20]. In the Czech Republic, misinformation, including pro-Russian narratives about the conflict in Ukraine and hostile targeting Ukrainian refugees, has spread on “antisystem” websites [21].

Dominika Grygarová, Marek Havlík, Petr Adámek, Jiří Horáček, Veronika Juríčková, Jaroslav Hlinka, Ladislav Kesner

JMIR Infodemiology 2025;5:e62913

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Trends in Mental Health Outcomes of College Students Amid the Pandemic (Roadmap mHealth App): Longitudinal Observational Study
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Trends in Mental Health Outcomes of College Students Amid the Pandemic (Roadmap mHealth App): Longitudinal Observational Study

The long-simmering mental health crisis in college students was further exacerbated by the COVID-19 pandemic, which saw higher levels of depression and anxiety than ever previously reported [12,13]. Even before the pandemic, the demand for mental health services was rising [14,15].

Gautham Jayaraj, Xiao Cao, Adam Horwitz, Michelle Rozwadowski, Skyla Shea, Shira N Hanauer, David A Hanauer, Muneesh Tewari, Kerby Shedden, Sung Won Choi

J Med Internet Res 2025;27:e67627

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Continued Implementation and Use of a Digital Informal Care Support Platform Before and After COVID-19: Multimethod Study
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Continued Implementation and Use of a Digital Informal Care Support Platform Before and After COVID-19: Multimethod Study

Therefore, the objective of this study is 2-fold: (1) to identify lessons learned about the continued implementation of Caren throughout the COVID-19 pandemic from the technology developers’ perspective and (2) to conduct a pre-post COVID-19 comparison of usage behavior and support functionality use of Caren. This study applied a multimethod design including qualitative and quantitative data collection.

Nikita Sharma, Christian Wrede, Sofia Bastoni, Annemarie Braakman-Jansen, Lisette van Gemert-Pijnen

JMIR Form Res 2024;9:e54734

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A Case Demonstration of the Open Health Natural Language Processing Toolkit From the National COVID-19 Cohort Collaborative and the Researching COVID to Enhance Recovery Programs for a Natural Language Processing System for COVID-19 or Postacute Sequelae of SARS CoV-2 Infection: Algorithm Development and Validation
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A Case Demonstration of the Open Health Natural Language Processing Toolkit From the National COVID-19 Cohort Collaborative and the Researching COVID to Enhance Recovery Programs for a Natural Language Processing System for COVID-19 or Postacute Sequelae of SARS CoV-2 Infection: Algorithm Development and Validation

For instance, Wang et al [48] used MTerms [49] to mine existing UMLS concepts from clinical narratives associated with COVID-19 positivity to build a lexicon of 355 long COVID-19 symptoms. We use their developed lexicon as one of the bases for further development in this study. We developed the OHNLPTK as part of previous work to enable the rapid development and dissemination of NLP algorithms for empowering clinical research and translation [50].

Andrew Wen, Liwei Wang, Huan He, Sunyang Fu, Sijia Liu, David A Hanauer, Daniel R Harris, Ramakanth Kavuluru, Rui Zhang, Karthik Natarajan, Nishanth P Pavinkurve, Janos Hajagos, Sritha Rajupet, Veena Lingam, Mary Saltz, Corey Elowsky, Richard A Moffitt, Farrukh M Koraishy, Matvey B Palchuk, Jordan Donovan, Lora Lingrey, Garo Stone-DerHagopian, Robert T Miller, Andrew E Williams, Peter J Leese, Paul I Kovach, Emily R Pfaff, Mikhail Zemmel, Robert D Pates, Nick Guthe, Melissa A Haendel, Christopher G Chute, Hongfang Liu, National COVID Cohort Collaborative, The RECOVER Initiative

JMIR Med Inform 2024;12:e49997

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Virtual Reality Applications for the Implementation of Domestic Respiratory Rehabilitation Programs for Patients With Long COVID and Post-COVID Condition: Scoping Review
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Virtual Reality Applications for the Implementation of Domestic Respiratory Rehabilitation Programs for Patients With Long COVID and Post-COVID Condition: Scoping Review

Pulmonary therapy approaches for chronic diseases such as chronic obstructive pulmonary disease (COPD) designed to normalize respiratory function have been well-established and are guiding the development of therapies for patients with long COVID or post-COVID condition. Therapy approaches include mobilization exercises, endurance, as well as strength training [10-14].

Katharina Dalko, Hlynur Andri Elsuson, Ivonne Kalter, Max Zilezinski, Sebastian Hofstetter, Dietrich Stoevesandt, Denny Paulicke, Patrick Jahn

JMIR Serious Games 2024;12:e52309

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Machine Learning–Based Approach for Identifying Research Gaps: COVID-19 as a Case Study
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Machine Learning–Based Approach for Identifying Research Gaps: COVID-19 as a Case Study

We selected abstracts containing the keywords “novel coronavirus,” “coronavirus 2019,” “2019-n Cov,” “COVID-19,” “COVID 2019,” “severe acute respiratory syndrome coronavirus 2,” and “SARS-COV-2” to include only COVID-19–related papers. We cleaned the abstracts and removed nonalphanumeric characters, punctuations, and sectioning keywords “BACKGROUND,” “OBJECTIVE,” “METHOD,” “RESULT,” “CONCLUSION.”

Alaa Abd-alrazaq, Abdulqadir J Nashwan, Zubair Shah, Ahmad Abujaber, Dari Alhuwail, Jens Schneider, Rawan AlSaad, Hazrat Ali, Waleed Alomoush, Arfan Ahmed, Sarah Aziz

JMIR Form Res 2024;8:e49411

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Digital Gamification Tools to Enhance Vaccine Uptake: Scoping Review
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Digital Gamification Tools to Enhance Vaccine Uptake: Scoping Review

In 2019, prior to the COVID-19 pandemic, the World Health Organization identified vaccine hesitancy (ie, the reluctance or refusal to be vaccinated despite the availability of vaccination services) as 1 of the top 10 threats to worldwide health [4]. Vaccine hesitancy is one of the several reasons some people are un- or undervaccinated [5-9]. Interventions addressing vaccine hesitancy are therefore necessary to promote vaccine acceptance and uptake.

Hina Hakim, S Michelle Driedger, Dominique Gagnon, Julien Chevrier, Geneviève Roch, Eve Dubé, Holly O Witteman

JMIR Serious Games 2024;12:e47257

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Fatigue and Mental Illness Symptoms in Long COVID: Protocol for a Prospective Cohort Multicenter Observational Study
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Fatigue and Mental Illness Symptoms in Long COVID: Protocol for a Prospective Cohort Multicenter Observational Study

Despite the World Health Organization (WHO) declaration marking the end of the COVID-19 pandemic on May 5, 2023 [1], millions of people continue to have postvirus complaints. Moreover, the virus remains endemic in many parts of the world. Confirmed COVID-19 cases have exceeded 430 million globally, with 200 million in Europe alone [2]. The causative agent of COVID-19 is the novel SARS-Co V-2 [3].

Ligia Pires, Cláudia Reis, Ana Rita Mesquita Facão, Armin Moniri, Ana Marreiros, Marta Drummond, Joana Berger-Estilita

JMIR Res Protoc 2024;13:e51820

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