Amos Folarin Dr Amos Folarin Research fellows Supervisors BRC-MH Software Development Group Leader Contact details +44 (0) 20 7848 0924 amos.folarin@kcl.ac.uk
Long-term participant retention and engagement patterns in an app and wearable-based multinational remote digital depression study RADAR-CNS Consortium, Zhang, Y., Pratap, A., Folarin, A. A., Sun, S., Cummins, N., Matcham, F., Vairavan, S., Dineley, J., Ranjan, Y., Rashid, Z., Conde, P., Stewart, C., White, K. M., Oetzmann, C., Ivan, A., Lamers, F., Siddi, S., Rambla, C. H., Simblett, S., & 10 othersNica, R., Mohr, D. C., Myin-Germeys, I., Wykes, T., Haro, J. M., Penninx, B. W. J. H., Annas, P., Narayan, V. A., Hotopf, M. & Dobson, R. J. B., 17 Feb 2023, In: npj Digital Medicine. 6, 1, 25. Research output: Contribution to journal › Article › peer-review. DOIs: https://doi.org/10.1038/s41746-023-00749-3 The Feasibility of Implementing Remote Measurement Technologies in Psychological Treatment for Depression: Mixed Methods Study on Engagement De Angel, V., Adeleye, F., Zhang, Y., Cummins, N., Munir, S., Lewis, S., Puyal, E. L., Matcham, F., Sun, S., Folarin, A., Ranjan, Y., Conde, P., Rashid, Z., Dobson, R. & Hotopf, M., 24 Jan 2023, In: JMIR Mental Health. Research output: Contribution to journal › Article › peer-review ADHD Remote Technology study of cardiometabolic risk factors and medication adherence (ART‑CARMA): a multi‑centre prospective cohort study protocol Denyer, H., Ramos-Quiroga, J. A., Folarin, A., Ramos, C., Nemeth, P., Bilbow, A., Woodward, E., Whitwell, S., Müller-Sedgwick, U., Larsson, H., Dobson, R. & Kuntsi, J., 20 Dec 2022, In: BMC Psychiatry. 13 p., 813. Research output: Contribution to journal › Article › peer-review. DOIs: https://doi.org/10.1186/s12888-022-04429-6 Biopsychosocial Response to the COVID-19 Lockdown in People with Major Depressive Disorder and Multiple Sclerosis Siddi, S., Gine-Vazquez, I., Bailón, R., Matcham, F., Lamers, F., Kontaxis, S., Puyal, E. L., Garcia, E., Dalla Costa, G., Guerrero, A. I., Zabalza, A., Comi, G., Leocani, L., Annas, P., Hotopf, M., Penninx, B. W. J. H., Magyari, M., Sørensen, P., Montalban, X., Lavelle, G., & 22 othersIvan, A., Oetzmann, C., White, K. M., Difrancesco, S., Locatelli, P., C. Mohr, D., Narayan, V., Folarin, A., Dobson, R., Dineley, J., Leightley, D., Cummins, N., Vairavan, S., Ranjan, Y., Rashid, Z., Rintala, A., de Girolamo, G., Preti, A., Simblett, S., Wykes, T., Germeys, I. M. & Maria Haro, J., 2 Dec 2022, In: Journal of Clinical Medicine. 11, 23, 7163. Research output: Contribution to journal › Article › peer-review. DOIs: https://doi.org/10.3390/jcm11237163 Best practices in the real-world data life cycle Zhang, J., Symons, J., Agapow, P., Teo, J. T., Paxton, C. A., Abdi, J., Mattie, H., Davie, C., Torres, A. Z., Folarin, A., Sood, H., Celi, L. A., Halamka, J., Eapen, S. & Budhdeo, S., 18 Jan 2022, In: PLOS Digital Health. 1, 1, p. 1-14 14 p. Research output: Contribution to journal › Article › peer-review. DOIs: https://doi.org/10.1371/journal.pdig.0000003 Associations Between Depression Symptom Severity and Daily-Life Gait Characteristics Derived From Long-Term Acceleration Signals in Real-World Settings: Retrospective Analysis RADAR-CNS Consortium, 4 Oct 2022, In: JMIR mHealth and uHealth. 10, 10, p. e40667 e40667. Research output: Contribution to journal › Article › peer-review. DOIs: https://doi.org/10.2196/40667 The utility of wearable devices in assessing ambulatory impairments of people with multiple sclerosis in free-living conditions Sun, S., Folarin, A. A., Zhang, Y., Cummins, N., Liu, S., Stewart, C., Ranjan, Y., Rashid, Z., Conde, P., Laiou, P., Sankesara, H., Costa, G. D., Leocani, L., Sørensen, P. S., Magyari, M., Guerrero, A. I., Zabalza, A., Vairavan, S., Bailon, R., Simblett, S., & 8 othersMyin-Germeys, I., Rintala, A., Wykes, T., Narayan, V. A., Hotopf, M., Comi, G., Dobson, R. JB. & consortium, RADAR-CNS., Dec 2022, In: Computer Methods and Programs in Biomedicine. 227 Research output: Contribution to journal › Article › peer-review Deployment of a Free-Text Analytics Platform at a UK National Health Service Research Hospital: CogStack at University College London Hospitals Noor, K., Roguski, L., Bai, X., Handy, A., Klapaukh, R., Folarin, A., Romao, L., Matteson, J., Lea, N., Zhu, L., Asselbergs, F. W., Wong, W. K., Shah, A. & Dobson, R. JB., 24 Aug 2022, In: JMIR Medical Informatics. 10, 8, p. e38122 e38122. Research output: Contribution to journal › Article › peer-review. DOIs: https://doi.org/10.2196/38122 Associations between depression symptom severity and daily-life gait characteristics derived from long-term acceleration signals in real-world settings Zhang, Y., Folarin, A. A., Sun, S., Cummins, N., Vairavan, S., Qian, L., Ranjan, Y., Rashid, Z., Conde, P., Stewart, C., Laiou, P., Sankesara, H., Matcham, F., White, K. M., Oetzmann, C., Ivan, A., Lamers, F., Siddi, S., Simblett, S., Rintala, A., & 10 othersMohr, D. C., Myin-Germeys, I., Wykes, T., Haro, J. M., Penninx, B. WJH., Narayan, V. A., Annas, P., Hotopf, M., Dobson, R. JB. & consortium, RADAR-CNS., 29 Jan 2022. Research output: Working paper/Preprint › Preprint Predicting Depressive Symptom Severity through Individuals' Nearby Bluetooth Devices Count Data Collected by Mobile Phones: A Preliminary Longitudinal Study Zhang, Y., Folarin, A. A., Sun, S., Cummins, N., Ranjan, Y., Rashid, Z., Conde, P., Stewart, C., Laiou, P., Matcham, F., Oetzmann, C., Lamers, F., Siddi, S., Simblett, S., Rintala, A., Mohr, D. C., Myin-Germeys, I., Wykes, T., Haro, J. M., Pennix, B. WJH., & 4 othersNarayan, V. A., Annas, P., Hotopf, M. & Dobson, R. JB., 26 Apr 2021. Research output: Working paper/Preprint › Preprint View all publications
24 July 2020 Can wearables like Fitbit devices be used to help detect COVID-19? The COVID-Collab research team at King’s College London have launched a free mobile app which will…