João Ricardo Vissoci
Assistant Professor in Emergency Medicine
Assistant Research Professor of Global Health
Assistant Professor in Neurosurgery
Appointment:
Topics:
João Ricardo Vissoci
Assistant Professor in Emergency Medicine
Assistant Research Professor of Global Health
Assistant Professor in Neurosurgery
Dr. Vissoci has a background in psychology and data science with a PhD in Social Psychology from the Pontificia Universidade Catolica de Sao Paulo/Brazil. He is an assistant professor of Emergency Medicine, Global Health and Neurosurgery. Before joining the Duke, Dr. Vissoci was an assistant professor of Public Health in Brazil and completed two postdoctoral fellowships in data science at the University of Sao Paulo and the Duke Global Health Institute. He co-directs the Global Emergency Medicine Innovation and Implementation (GEMINI) Research Center and is a faculty member of the Research Design and Analysis Core (RDAC) at the DGHI. He is the chief of the Division of Translational Health Sciences in the Duke Department of Emergency Medicine. He also leads the Geoprocessing and Technology research group (GETS) at the State University of Maringá/Brazil.
His research interests focus on leveraging data through analytics and technology to bridge the gap in access and equity in care in low resource settings, translating evidence into practice or policy impact. He uses data science and mixed-methods research to design and implement innovative data-driven solutions to address health care gaps. He is also interested in global mental health with an emphasis on the use of daily activities to improve mental health reintegration. Dr. Vissoci has actively worked in Brazil looking into population health, health systems and quality of care, and in Tanzania and Uganda with a focus on traumatic brain injury, mental health and technology.
Projects
Publications
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Carvalho ECAD, Vissoci JRN, Andrade LD, Machado WDL, Paraiso EC, Nievola JC. BNPA: An R package to learn path analysis input models from a data set semi-automatically using Bayesian networks[Formula presented]. Knowledge-Based Systems. 2021 Jul 8;223.Salinaro JR, McNally PJ, Nickenig Vissoci JR, Ellestad SC, Nelson B, Broder JS. A prospective blinded comparison of second trimester fetal measurements by expert and novice readers using low-cost novice-acquired 3D volumetric ultrasound. J Matern Fetal Neonatal Med. 2021 Jun;34(11):1805–13.Hernandes Rocha TA, Elahi C, Cristina da Silva N, Sakita FM, Fuller A, Mmbaga BT, et al. A traumatic brain injury prognostic model to support in-hospital triage in a low-income country: a machine learning-based approach. J Neurosurg. 2020 Jun 1;132(6):1961–9.Nickenig Vissoci JR, Krebs E, Meier B, Vieira IF, de Andrade L, Byiringiro F, et al. Road traffic crash experience among commercial motorcyclists in Kigali, Rwanda. Int J Inj Contr Saf Promot. 2020 Jun;27(2):181–7.
See more publications at Scholars@Duke