AIAI Seminar - Thursday, 18 May 2023 - Talk by Jonás Carmona Pírez

Speaker:             Jonás Carmona Pírez

Title:                     Identifying multimorbidity patterns through network and clustering analysis 

Abstract:

Multimorbidity, defined as the presence of multiple chronic diseases in the individual and the population, is a relevant public health problem. We know it alters the quality of life and the functioning of health systems. An essential step to study multimorbidity is to know the multimorbidity patterns, that is the non-random association between diseases. In this context, network science is a powerful tool to analyze and visualize associations of diseases. It can apply clustering techniques that allow to identify patterns of diseases and profiles of patients that can be helpful to understand the underlying physio-pathological mechanisms and develop specific preventive actions. In this talk, I will present some of my work on this topic. I will focus on how to build networks of patients from a cross-sectional perspective combining a clinical-statistical approach and studying the impact of different profiles on COVID-19 severity. However, individuals and their diseases are not static but evolve. Understanding how this evolution occurs is essential to take individual and collective preventive actions, detecting points of irreversibility and trajectories associated with adverse health outcomes when we still have room to act. In the second part of the talk, I will present some of our work on the study of evolution of multimorbidity applying dynamic Bayesian networks.   

Bio: Dr. Jonás Carmona Pírez (MD, MSc, PhD) has researched on the epidemiology of chronic diseases analyzing real-world data and applying multivariate techniques, network analysis and clustering methods. Former Rio-Hortega Researcher at the Spanish National Health System-ISCIII.  He is currently Advisor at the Andalusian Health Service (Information Management Technical Advisory Subdirectorate (STAGI)) working with the Andalusian Population Health Database. He participates and has participated in national and European research projects, including 9 competitive calls such as PRECOVID (PI), MINERVA, FAIR4HEALTH, CONSIGN, or ECA MultiPAP Plus. He has combined a clinical and scientific education including a Degree in Medicine (2013) at the University of Seville; specialization in Family and Community Medicine at Costa Ponent Unit (2019); Ph.D. in Medicine and Translational Research with international mention at the University of Barcelona (2021), with international internships at the New England Complex Systems Institute and the Brigham and Women´s Hospital (Harvard University) in 2018. He also holds a Degree in Biostatistics from the Autonomous University of Barcelona (2022) and a Master of Science in Bioinformatics and Biostatistics from the University of Barcelona-Open University of Catalonia (2023). https://scholar.google.com/citations?view_op=list_works&hl=en&user=5By-9B4AAAAJ