Theme Issue: Medical Informatics and COVID-19

Effect of a Structured Multilevel Telehealth Service on Hospital Admissions and Mortality During COVID-19 in a Resource-Limited Region in Brazil: Retrospective Cohort Study

Clara Rodrigues Alves Oliveira, Magda Carvalho Pires, Karina Cardoso Meira, Jordana Cristina de Jesus, Isabela Nascimento Borges, Maria Cristina Paixão, Mayara Santos Mendes, Leonardo Bonisson Ribeiro, Milena Soriano Marcolino, Maria Beatriz Moreira Alkmim, Antonio Luiz Pinho Ribeiro

J Med Internet Res 2024 (Jun 10); 26:e48464

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Experiences, Lessons, and Challenges With Adapting REDCap for COVID-19 Laboratory Data Management in a Resource-Limited Country: Descriptive Study

Kagiso Ndlovu, Kabelo Leonard Mauco, Onalenna Makhura, Robin Hu, Nkwebi Peace Motlogelwa, Audrey Masizana, Emily Lo, Thongbotho Mphoyakgosi, Sikhulile Moyo

JMIR Form Res 2024 (Apr 16); 8:e50897

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Integration of Patient-Reported Outcome Data Collected Via Web Applications and Mobile Apps Into a Nation-Wide COVID-19 Research Platform Using Fast Healthcare Interoperability Resources: Development Study

Johannes Benedict Oehm, Sarah Luise Riepenhausen, Michael Storck, Martin Dugas, Rüdiger Pryss, Julian Varghese

J Med Internet Res 2024 (Feb 27); 26:e47846

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The Perception of Health Care Practitioners Regarding Telemedicine During COVID-19 in Saudi Arabia: Mixed Methods Study

Heba Alqurashi, Rafiuddin Mohammed, Amany Shlyan AlGhanmi, Farhan Alanazi

JMIR Form Res 2023 (Sep 28); 7:e47065

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Comparing Natural Language Processing and Structured Medical Data to Develop a Computable Phenotype for Patients Hospitalized Due to COVID-19: Retrospective Analysis

Feier Chang, Jay Krishnan, Jillian H Hurst, Michael E Yarrington, Deverick J Anderson, Emily C O'Brien, Benjamin A Goldstein

JMIR Med Inform 2023 (Aug 22); 11:e46267

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Nurses’ Work Concerns and Disenchantment During the COVID-19 Pandemic: Machine Learning Analysis of Web-Based Discussions

Haoqiang Jiang, Arturo Castellanos, Alfred Castillo, Paulo J Gomes, Juanjuan Li, Debra VanderMeer

JMIR Nursing 2023 (Feb 06); 6:e40676

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The Real-World Experiences of Persons With Multiple Sclerosis During the First COVID-19 Lockdown: Application of Natural Language Processing

Deborah Chiavi, Christina Haag, Andrew Chan, Christian Philipp Kamm, Chloé Sieber, Mina Stanikić, Stephanie Rodgers, Caroline Pot, Jürg Kesselring, Anke Salmen, Irene Rapold, Pasquale Calabrese, Zina-Mary Manjaly, Claudio Gobbi, Chiara Zecca, Sebastian Walther, Katharina Stegmayer, Robert Hoepner, Milo Puhan, Viktor von Wyl

JMIR Med Inform 2022 (Nov 10); 10(11):e37945

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Discovery and Analytical Validation of a Vocal Biomarker to Monitor Anosmia and Ageusia in Patients With COVID-19: Cross-sectional Study

Eduardo Higa, Abir Elbéji, Lu Zhang, Aurélie Fischer, Gloria A Aguayo, Petr V Nazarov, Guy Fagherazzi

JMIR Med Inform 2022 (Nov 08); 10(11):e35622

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Identifying the Perceived Severity of Patient-Generated Telemedical Queries Regarding COVID: Developing and Evaluating a Transfer Learning–Based Solution

Joseph Gatto, Parker Seegmiller, Garrett Johnston, Sarah Masud Preum

JMIR Med Inform 2022 (Sep 02); 10(9):e37770

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Synergy Between Public and Private Health Care Organizations During COVID-19 on Twitter: Sentiment and Engagement Analysis Using Forecasting Models

Aditya Singhal, Manmeet Kaur Baxi, Vijay Mago

JMIR Med Inform 2022 (Aug 18); 10(8):e37829

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Combating COVID-19 Using Generative Adversarial Networks and Artificial Intelligence for Medical Images: Scoping Review

Hazrat Ali, Zubair Shah

JMIR Med Inform 2022 (Jun 29); 10(6):e37365

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Virtual Specialist Care During the COVID-19 Pandemic: Multimethod Patient Experience Study

Katie N Dainty, M Bianca Seaton, Antonio Estacio, Lisa K Hicks, Trevor Jamieson, Sarah Ward, Catherine H Yu, Jeffrey D Mosko, Charles D Kassardjian

JMIR Med Inform 2022 (Jun 28); 10(6):e37196

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Predicting 30-Day Readmission Risk for Patients With Chronic Obstructive Pulmonary Disease Through a Federated Machine Learning Architecture on Findable, Accessible, Interoperable, and Reusable (FAIR) Data: Development and Validation Study

Celia Alvarez-Romero, Alicia Martinez-Garcia, Jara Ternero Vega, Pablo Díaz-Jimènez, Carlos Jimènez-Juan, María Dolores Nieto-Martín, Esther Román Villarán, Tomi Kovacevic, Darijo Bokan, Sanja Hromis, Jelena Djekic Malbasa, Suzana Beslać, Bojan Zaric, Mert Gencturk, A Anil Sinaci, Manuel Ollero Baturone, Carlos Luis Parra Calderón

JMIR Med Inform 2022 (Jun 02); 10(6):e35307

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Experiences and Challenges of Emerging Online Health Services Combating COVID-19 in China: Retrospective, Cross-Sectional Study of Internet Hospitals

Fangmin Ge, Huan Qian, Jianbo Lei, Yiqi Ni, Qian Li, Song Wang, Kefeng Ding

JMIR Med Inform 2022 (Jun 01); 10(6):e37042

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Deep Neural Networks for Simultaneously Capturing Public Topics and Sentiments During a Pandemic: Application on a COVID-19 Tweet Data Set

Adrien Boukobza, Anita Burgun, Bertrand Roudier, Rosy Tsopra

JMIR Med Inform 2022 (May 25); 10(5):e34306

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An Analysis of French-Language Tweets About COVID-19 Vaccines: Supervised Learning Approach

Romy Sauvayre, Jessica Vernier, Cédric Chauvière

JMIR Med Inform 2022 (May 17); 10(5):e37831

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Exploring Sentiment and Care Management of Hospitalized Patients During the First Wave of the COVID-19 Pandemic Using Electronic Nursing Health Records: Descriptive Study

Juan Nicolás Cuenca-Zaldívar, Maria Torrente-Regidor, Laura Martín-Losada, César Fernández-De-Las-Peñas, Lidiane Lima Florencio, Pedro Alexandre Sousa, Domingo Palacios-Ceña

JMIR Med Inform 2022 (May 12); 10(5):e38308

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Predicting COVID-19 Symptoms From Free Text in Medical Records Using Artificial Intelligence: Feasibility Study

Josefien Van Olmen, Jens Van Nooten, Hilde Philips, Annet Sollie, Walter Daelemans

JMIR Med Inform 2022 (Apr 27); 10(4):e37771

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Interactive Versus Static Decision Support Tools for COVID-19: Randomized Controlled Trial

Alice Röbbelen, Malte L Schmieding, Marvin Kopka, Felix Balzer, Markus A Feufel

JMIR Public Health Surveill 2022 (Apr 15); 8(4):e33733

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Investigating Health Context Using a Spatial Data Analytical Tool: Development of a Geospatial Big Data Ecosystem

Timothy Haithcoat, Danlu Liu, Tiffany Young, Chi-Ren Shyu

JMIR Med Inform 2022 (Apr 06); 10(4):e35073

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