Symposia

Posted by on May 26, 2019


International Symposium on Health Analytics and Disease Modeling (HADM) 2018

March 8-9, 2018 National Academy of Medical Sciences Auditorium, New Delhi, India

The International Symposium on Health Analytics and Disease Modeling (HADM 2018) was the fourth in a series of such events organized by the Public Health Dynamics Laboratory (PHDL) of the University of Pittsburgh in partnership with different institutions in India. Eminent speakers from the United States, United Kingdom, France, Vietnam, and India presented their research on topics covering infectious and non-communicable disease models, immune system modeling, and vaccine and surveillance data analytics, among others.

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International Symposium on Health Analytics and Disease Modeling (HADM) 2016

February 29 and March 1, 2016 Indian Institute of Public Health, Hyderabad, India

The International Symposium on Health Analytics and Disease Modeling (HADM 2016) was organized jointly with SHARE-India and the Public Health Foundation of India’s (PHFI) Indian Institute of Public Health (IIPH) in Hyderabad to train Indian researchers in simulation and modeling. Funded by the Fogarty Institute, NIH, the goal of the initiative, “Empowering Indian Health Researchers with Computational Modeling Tools,” was to enhance evidence-based, data-driven decision-making in India through innovations in information and communication technology.

Group Photo International Symposium on Health Analytics and Disease Modeling

Two groups of attendees to the symposium received small development grants to develop a workshop and curricula to teach modeling in India. The Indian Statistical Institute in Kolkata (PI: Indranil Mukhopadhyay) received the first grant to host a four-day workshop on health analytics and computational modeling from a public health perspective for participants from West Bengal and the northeastern states in India. St. Joseph’s College of Arts and Science, Cuddalore, Tamil Nadu (PI: Joseph Daniel) received the second grant to develop curriculum for capacity building in disease modeling.


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