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Factors Predicting Information Overload During the COVID-19 Pandemic in the Digital Age: Longitudinal Study

Hiroko Okada, Tsuyoshi Okuhara, Takahiro Kiuchi

Interact J Med Res 2025;14:e67098

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Identifying Optimal Testing Modalities to Increase COVID-19 Testing Access in Baltimore, Maryland: Protocol for a Household Randomized Controlled Trial

Jessica Duchen, Alexandra K Mueller, Saifuddin Ahmed, Jamie Perin, Courtney Borsuk, Joshua Trowell, Kelly Lowensen, Steven Huettner, Andy Peytchev, Jason E Farley, Shruti H Mehta, Jacky M Jennings

JMIR Res Protoc 2025;14:e68600

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Comparison of Virus Watch COVID-19 Positivity, Incidence, and Hospitalization Rates With Other Surveillance Systems: Surveillance Study

Wing Lam Erica Fong, Vincent Grigori Nguyen, Sarah Beale, Thomas E Byrne, Cyril Geismar, Ellen Fragaszy, Jana Kovar, Alexei Yavlinsky, Ibrahim Abubakar, Andrew C Hayward, Robert W Aldridge

JMIR Public Health Surveill 2025;11:e69655

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Significant Risks and Responsibilities in the Clinical Use of AI Predictive Models. Comment on: “AI Predictive Model of Mortality and Intensive Care Unit Admission in the COVID-19 Pandemic: Retrospective Population Cohort Study of 12,000 Patients”

Aymen Boud, Ishraq Hussein

J Med Internet Res 2025;27:e81251

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Diverse Attitudes and Experiences With Technology Use During the COVID-19 Pandemic Among Asian American and Pacific Islander Adults (the COMPASS Study): Survey Study

Linda G Park, Serena Chi, Myka Lay, Nicole Phan, Janice Y Tsoh, Oanh L Meyer, Bora Nam, Van Ta Park

JMIR Hum Factors 2025;12:e64999

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In Silico Analysis and Validation of A Disintegrin and Metalloprotease (ADAM) 17 Gene Missense Variants: Structural Bioinformatics Study

Abdelilah Mechnine, Asmae Saih, Lahcen Wakrim, Ahmed Aarab

JMIR Bioinform Biotech 2025;6:e72133

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Analysis of Social Media Perceptions During the COVID-19 Pandemic in the United Kingdom: Social Listening Study (2019-2022)

Marzieh Araghi, Arron Sahota, Maciej Czachorowski, Kevin Naicker, Natalie Bohm, Katie Phillipps, James Gaddum, Erica Jane Cook

JMIR Form Res 2025;9:e63997

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Leveraging Canadian Health Care Worker Volunteers to Address COVID-19 Vaccine Misinformation on Facebook: Qualitative Program Evaluation Study

Caitlin Ford, Hinna Hasan, Madison Fullerton, Janette Wong, Margaret Pateman, Hao Ming Chen, Theresa Tang, Jia Hu, Kirsten Cornelson

J Med Internet Res 2025;27:e65361

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AI Predictive Model of Mortality and Intensive Care Unit Admission in the COVID-19 Pandemic: Retrospective Population Cohort Study of 12,000 Patients

Jose Manuel Ruiz Giardin, Óscar Garnica, Nieves Mesa Plaza, Juan Víctor SanMartín López, Ana Farfán Sedano, Elena Madroñal Cerezo, Miguel Ángel Duarte Millán, Aida Izquierdo Martínez, Luis Rivas, Marta Rivilla, Alejandro Morales Ortega, Begoña Frutos Pérez, Cristina De Ancos Aracil, Ruth Calderón, Guillermo Soria Fernandez, Jorge Marrero Francés, David Bernal Bello, Jose Ángel Satué Bartolomé, María Toledano Macías, Sara Piedrabuena García, Marta Guerrero Santillán, Rafael Cristóbal, Belen Mora, Laura Velázquez Ríos, Vanesa García de Viedma, Paula Cuenca Ruiz, Ibone Ayala Larrañaga, Lorena Carpintero, Celia Lara, Alvaro Ricardo Llerena, Virginia García Bermúdez, Gema Delgado Cárdenas, Paloma Pardo Rovira, Elena Tejero Sánchez, Maria Jesús Domínguez García, Carolina Mariño, Cristina Bravo, Ana Ontañon, Mario García, Jose Ignacio Hidalgo Pérez, Santiago Prieto Menchero, Natalia González Pereira, Sonia Gonzalo Pascua, Jorge Tarancón Rey, Luis Antonio Lechuga Suárez, FUENCOVID

J Med Internet Res 2025;27:e70674

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Exploring Conceptualizations of COVID-19 Risk in Ideologically Distinct Online Communities: A Computational Grounded Theory Analysis

Tiwaladeoluwa B Adekunle, Jeremy Foote, Toluwani E Adekunle, Nathan TeBlunthuis, Laura K Nelson

J Med Internet Res 2025;27:e67968

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