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Effectiveness of Frequent Point-of-Care Molecular COVID-19 Surveillance in a Rural Workplace: Nonrandomized Controlled Clinical Trial Among Miners

Akshay Sood, William “Cotton” Jarrell, Xin W Shore, Nestor Sosa, Alisha Parada, Nicholas Edwardson, Alexandra V Yingling, Teah Amirkabirian, Qiuying Cheng, Ivy Hurwitz, Linda S Cook, Shuguang Leng, Orrin B Myers, Douglas J Perkins

JMIR Public Health Surveill 2025;11:e59845

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Leveraging the Black Girls Run Web-Based Community as a Supportive Community for Physical Activity Engagement: Mixed Methods Study

Jolaade Kalinowski, Christie Idiong, Loneke Blackman-Carr, Kristen Cooksey Stowers, Shardé Davis, Cindy Pan, Alisha Chhabra, Lisa Eaton, Kim M Gans, Jay Ell Alexander, Sherry Pagoto

JMIR Form Res 2023;7:e43825

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Preliminary Evaluation of Translated and Culturally Adapted Internet-Delivered Cognitive Therapy for Social Anxiety Disorder: Multicenter, Single-Arm Trial in Japan

Naoki Yoshinaga, Graham R Thew, Yuta Hayashi, Jun Matsuoka, Hiroki Tanoue, Rieko Takanashi, Mutsumi Araki, Yoshihiro Kanai, Alisha Smith, Sophie H L Grant, David M Clark

JMIR Form Res 2023;7:e45136

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Mapping Inequities in Digital Health Technology Within the World Health Organization’s European Region Using PROGRESS PLUS: Scoping Review

Katherine E Woolley, Diana Bright, Toby Ayres, Fiona Morgan, Kirsty Little, Alisha R Davies

J Med Internet Res 2023;25:e44181

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Black Girls Run Too: A Content Analysis of the Black Girls Run National Facebook Group

Jolaade Kalinowski, Christie Idiong, Loneke Blackman-Carr, Kristen Cooksey-Stowers, Sharde Davis, Cindy Pan, Alisha Chhabra, Lisa Eaton, Kim Gans, Sherry Pagoto

iproc 2023;9:e40047

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Toward Diabetes Device Development That Is Mindful to the Needs of Young People Living With Type 1 Diabetes: A Data- and Theory-Driven Qualitative Study

Nicola Brew-Sam, Anne Parkinson, Madhur Chhabra, Adam Henschke, Ellen Brown, Lachlan Pedley, Elizabeth Pedley, Kristal Hannan, Karen Brown, Kristine Wright, Christine Phillips, Antonio Tricoli, Christopher J Nolan, Hanna Suominen, Jane Desborough

JMIR Diabetes 2023;8:e43377

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Machine Learning Techniques to Explore Clinical Presentations of COVID-19 Severity and to Test the Association With Unhealthy Opioid Use: Retrospective Cross-sectional Cohort Study

Hale M Thompson, Brihat Sharma, Dale L Smith, Sameer Bhalla, Ihuoma Erondu, Aniruddha Hazra, Yousaf Ilyas, Paul Pachwicewicz, Neeral K Sheth, Neeraj Chhabra, Niranjan S Karnik, Majid Afshar

JMIR Public Health Surveill 2022;8(12):e38158

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Acceptability of an mHealth Family Self-management Intervention (myFAMI) for Pediatric Transplantation Families: Qualitative Focus

Stacee Marie Lerret, Erin Flynn, Rosemary White-Traut, Estella Alonso, Alisha M Mavis, M Kyle Jensen, Caitlin G Peterson, Rachel Schiffman

JMIR Nursing 2022;5(1):e39263

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Usability of Electronic Health Record–Generated Discharge Summaries: Heuristic Evaluation

Patrice D Tremoulet, Priyanka D Shah, Alisha A Acosta, Christian W Grant, Jon T Kurtz, Peter Mounas, Michael Kirchhoff, Elizabeth Wade

J Med Internet Res 2021;23(4):e25657

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Addressing the Digital Inverse Care Law in the Time of COVID-19: Potential for Digital Technology to Exacerbate or Mitigate Health Inequalities

Alisha R Davies, Matthew Honeyman, Bob Gann

J Med Internet Res 2021;23(4):e21726

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