ISSN: 2161-0711

Journal of Community Medicine & Health Education
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A population level analysis of mental health and non-communicable disease (NCD) in the Philippines using predictive modelling analysis

3rd Global Summit on Public Health

Francis Gregory R. Samonte

University of the Philippines Manila, College of Behavioral Science

ScientificTracks Abstracts: J Community Med Health Educ

Abstract
The epidemic brought about by non-communicable diseases (NCD) and the lack of adequate data on the state of mental health (MH) in the Philippines have converged that threatens to overwhelm the health care infrastructure. Population level analysis is severely lacking that could otherwise provide a fundamental basis for critical analysis needed to address health policy interventions. The use of mathematical algorithm as a form of mixedmethod analysis in population level studies in developing countries has the potential to elucidate associations between diseases. Our study looks into the Philippine national data on mental health and NCD from 2002-2016 to determine the association and predictive correlation between mental health and NCD using predictive modeling study; designed to expand current understanding on the developmental origins and trajectories of these diseases from a developing country perspective.
Biography

Dr. Samonte is an academic global health neurologist (M.D.), trained in basic and clinical neurosciences. He was a member of the Harvard Catalyst, the Harvard Clinical and Translational Science Center. Received his training at Harvard institutions: Children’s Hospital Boston, Beth Israel Hospital and Massachusetts General Hospital. He is currently completing his Ph.D. in health policy studies. He has received the Pediatric Chairman’s award at University of Louisville (2006), America’s Best Physician (Neurology), National Council Advisory Board, USA (2016); American Medical Association, Excellence in Medicine award (2018).

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