LIRNEasia has been at the forefront of big data analysis for development in Sri Lanka, conducting in-house analysis to generate actionable insights across a range of policy domains. On 6th May 2016, LIRNEasia and the Health Informatics Society of Sri Lanka jointly convened a planning meeting on building better models for forecasting the propagation of infectious disease such as dengue in Sri Lanka. The meeting was intended to lay the foundation for a multi-disciplinary collaboration engaging health informatics specialists, epidemiologists, and data scientists to identify research priorities and opportunities. The participants included the following: Madhushi Bandara, Junior Researcher, LIRNEasia Prof Vajira Dissanayake (Health Informatics Society of Sri Lanka, Biomedical Informatics Programme – Postgraduate Institute of Medicine) Dr. M.
The Director of Carnegie Mellon University’s Auton Lab – Prof Artur Dubrawski – delivered a keynote speech at the Health Informatics Society of Sri Lanka organized eHealth Sri Lanka 2010 conference, 15-16 September, 2010. His talk titled – Detection of Informative Disjunctive Patterns in Support of Clinical Informatics (click to view slides) – has synergies with the Real-Time Biosurveillance Program (RTBP) we are piloting in India and Sri Lanka. RTBP specifically integrates a data mining and probability testing tool called the T-Cube Web Interface. In addition to the keynote, Chamindu Sampath, LIRNEasia Research Assistant, presented a paper titled the “T-Cube web tool for rapid detection of disease outbreaks in India and Sri Lanka” (click to view the slides) and a poster. Several interesting issues regarding data quality needed for event monitoring was discussed by the audience during the session: public health informatics.