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Establishment of a Public Mental Health Database for Research Purposes in the Ferrara Province: Development and Preliminary Evaluation Study

Given this premise, the aim of this paper is to describe (1) the challenges and pitfalls that were encountered in the process of adapting EHR data derived from the public mental health agency in Ferrara, Italy, for research purposes and (2) the development of a data set that is suitable for analysis via AI and traditional techniques.

Maria Ferrara, Elisabetta Gentili, Martino Belvederi Murri, Riccardo Zese, Marco Alberti, Giorgia Franchini, Ilaria Domenicano, Federica Folesani, Cristina Sorio, Lorenzo Benini, Paola Carozza, Julian Little, Luigi Grassi

JMIR Med Inform 2023;11:e45523

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Exploring the Behavior of Users With Attention-Deficit/Hyperactivity Disorder on Twitter: Comparative Analysis of Tweet Content and User Interactions

Liuliu Chen, Jiwon Jeong, Bridgette Simpkins, Emilio Ferrara

J Med Internet Res 2023;25:e43439

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Transcultural Adaptation of and Theoretical Validation Models for the Spanish Version of the Nurses’ Global Assessment of Suicide Risk Scale: Protocol for a Multicenter Cross-sectional Study

Maria Elena Garrote-Cámara, Raúl Juárez-Vela, Teresa Sufrate-Sorzano, Angela Durante, Paolo Ferrara, Stefano Terzoni, Jesús Pérez, Iván Santolalla-Arnedo

JMIR Res Protoc 2022;11(9):e39482

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A Web-Based mHealth Intervention With Telephone Support to Increase Physical Activity Among Pregnant Patients With Overweight or Obesity: Feasibility Randomized Controlled Trial

Tainayah Thomas, Fei Xu, Sneha Sridhar, Tali Sedgwick, Linda Nkemere, Sylvia E Badon, Charles Quesenberry, Assiamira Ferrara, Sarah Mandel, Susan D Brown, Monique Hedderson

JMIR Form Res 2022;6(6):e33929

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Charting the Information and Misinformation Landscape to Characterize Misinfodemics on Social Media: COVID-19 Infodemiology Study at a Planetary Scale

Emily Chen, Julie Jiang, Ho-Chun Herbert Chang, Goran Muric, Emilio Ferrara

JMIR Infodemiology 2022;2(1):e32378

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Seroepidemiological Survey on the Impact of Smoking on SARS-CoV-2 Infection and COVID-19 Outcomes: Protocol for the Troina Study

Riccardo Polosa, Venera Tomaselli, Pietro Ferrara, Alba Corina Romeo, Sonja Rust, Daniela Saitta, Filippo Caraci, Corrado Romano, Murugesan Thangaraju, Pietro Zuccarello, Jed Rose, Giulio Giacomo Cantone, Margherita Ferrante, Jonathan Belsey, Fabio Cibella, Elisa Interlandi, Raffaele Ferri

JMIR Res Protoc 2021;10(11):e32285

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COVID-19 Vaccine Hesitancy on Social Media: Building a Public Twitter Data Set of Antivaccine Content, Vaccine Misinformation, and Conspiracies

Goran Muric, Yusong Wu, Emilio Ferrara

JMIR Public Health Surveill 2021;7(11):e30642

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Authors’ Response to Peer Reviews of “Social Media Polarization and Echo Chambers in the Context of COVID-19: Case Study”

Julie Jiang, Xiang Ren, Emilio Ferrara

JMIRx Med 2021;2(3):e32266

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Social Media Polarization and Echo Chambers in the Context of COVID-19: Case Study

To remove biases from potential bots infiltrating the data set [23], we calculated bot scores using the methodology of Davis et al [24], which estimates a score from 0 (likely human) to 1 (likely bots), and removed the top 10% of users by bot scores as suggested by Ferrara [23]. Our final data set contained 232,000 users with 1.4 million retweet interactions among them. The average degree of the retweet network was 6.15.

Julie Jiang, Xiang Ren, Emilio Ferrara

JMIRx Med 2021;2(3):e29570

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