Siddi, Sara
Centro de Investigación Biomédica en Red de Salud Mental · Parc Sanitari Sant Joan de Déu · Universitat de Barcelona
9 papers on CoChatORCID 0000-0002-1494-9028
Most cited papers
- Verified
Auditory Verbal Hallucinations in Persons With and Without a Need for Care
Johns, L. C., Kompus, K., Connell, M., Humpston, C., Lincoln, T. M., Longden, E., Preti, A., Alderson-Day, B., Badcock, J. C., Cella, M., et al. (2014) · Schizophrenia Bulletin
Schizophrenia research and treatmentHallucinations in medical conditions
Cited by 311
- Verified
Using Smartphones and Wearable Devices to Monitor Behavioral Changes During COVID-19
Sun, S., Folarin, A. A., Ranjan, Y., Rashid, Z., Conde, P., Stewart, C., Cummins, N., Matcham, F., Dalla Costa, G., Simblett, S., et al. (2020) · Journal of Medical Internet Research
Human Mobility and Location-Based AnalysisCOVID-19 Digital Contact Tracing
Cited by 256
- Verified
Barriers to and Facilitators of Engagement With mHealth Technology for Remote Measurement and Management of Depression: Qualitative Analysis
Simblett, S., Matcham, F., Siddi, S., Bulgari, V., Barattieri di San Pietro, C., Hortas López, J., Ferrão, J., Polhemus, A., Haro, J. M., de Girolamo, G., et al. (2019) · JMIR mHealth and uHealth
Digital Mental Health InterventionsMobile Health and mHealth Applications
Cited by 120
- Verified
Symptom Dimensions of the Psychotic Symptom Rating Scales in Psychosis: A Multisite Study
Woodward, T. S., Jung, K., Hwang, H., Yin, J., Taylor, L., Menon, M., Peters, E., Kuipers, E., Waters, F., Lecomte, T., et al. (2014) · Schizophrenia Bulletin
Schizophrenia research and treatmentHallucinations in medical conditions
Cited by 116
- Verified
Remote Assessment of Disease and Relapse in Major Depressive Disorder (RADAR-MDD): recruitment, retention, and data availability in a longitudinal remote measurement study
Matcham, F., Leightley, D., Siddi, S., Lamers, F., White, K. M., Annas, P., de Girolamo, G., Difrancesco, S., Haro, J. M., Horsfall, M., et al. (2022) · BMC Psychiatry
Digital Mental Health InterventionsMental Health Research Topics
Cited by 110
- Verified
Predicting depressive symptom severity through individuals’ nearby Bluetooth device count data collected by mobile phones: preliminary longitudinal study
Zhang, Y., Folarin, A. A., Sun, S., Cummins, N., Ranjan, Y., Rashid, Z., Conde, P., Stewart, C., Laiou, P., Matcham, F., et al. (2021) · JMIR mHealth and uHealth
Mental Health Research TopicsDigital Mental Health Interventions
Cited by 68
- Verified
Patient perspectives on the acceptability of mHealth technology for remote measurement and management of epilepsy: A qualitative analysis
Simblett, S. K., Bruno, E., Siddi, S., Matcham, F., Giuliano, L., López, J. H., Biondi, A., Curtis, H., Ferrão, J., Polhemus, A., et al. (2019) · Epilepsy & Behavior
Mobile Health and mHealth ApplicationsEpilepsy research and treatment
Cited by 54
- Verified
The usability of daytime and night-time heart rate dynamics as digital biomarkers of depression severity
Siddi, S., Bailon, R., Giné-Vázquez, I., Matcham, F., Lamers, F., Kontaxis, S., Laporta, E., Garcia, E., Lombardini, F., Annas, P., et al. (2023) · Psychological Medicine
Heart Rate Variability and Autonomic ControlMental Health Research Topics
Cited by 31
- Verified
A Framework for Recruiting into a Remote Measurement Technologies (RMTs) study: Experiences from a major depressive disorder cohort
Oetzmann, C., White, K. M., Ivan, A., Julie, J., Leightley, D., Lavelle, G., Lamers, F., Siddi, S., Annas, P., Garcia, S. A., et al. (2021)
Digital Mental Health InterventionsMobile Health and mHealth Applications
Cited by 5
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