Finding and Integrating Data for Infectious Disease Modeling
Infectious disease modelers depend on real-world data to create model estimates of infectious disease transmission and control interventions. Modelers often collect data from multiple sources, such as population demographics, disease surveillance, vaccination programs, etc. and integrate data into one model to inform health policy. It can be difficult and time consuming to find relevant data, to assess data quality, and to reformat data for use in a model. We have developed Project Tycho to improve the Findability, Accessibility, Interoperability, and Reusability (FAIR) of infectious disease data. The Project Tycho repository includes over 200 datasets and has over 4500 registered users that have used Project Tycho data for over 75 new scientific works. In addition, we lead the MIDAS (Models of Infectious Disease Agent Study) Network Coordination Center that aims to improve the findability and use of data for modelers in the MIDAS Network. In this seminar, Dr. Van Panhuis will introduce Project Tycho and MIDAS including potential benefits of these projects to researchers at the London School of Hygiene and Tropical Medicine.
Wilbert Van Panhuis is an infectious disease epidemiologist with training in Medicine (Amsterdam) and Global Disease Epidemiology (Johns Hopkins). He is an Assistant Professor in the Departments of Epidemiology and Biomedical Informatics. His research in the fields of computational epidemiology and population health informatics aims to improve the efficient use of information for public health action. He uses large-scale public health data with statistical and agent-based simulation models to study the spatial spread of infectious diseases. He leads multiple large-scale global health data initiatives, including Project Tycho, an open-access repository for global disease surveillance data (NEJM, New York Times, Wall Street Journal) and the Models of Infectious Disease Agents Study (MIDAS) Coordination Center funded by the National Institute of General Medical Sciences. Wilbert is funded by the US NIH Big Data to Knowledge (BD2K) program to improve data integration for global health. My disease expertise concentrates on vector borne diseases (dengue and Chikungunya) in Latin America and Southeast Asia, especially as related to climate, and on vaccine preventable diseases in the US and EU (NEJM, PNAS, NIH Director's Blog).
This session will be live-streamed and recorded - accessible to both internal and external audience
Please note that the main entrance of our Keppel Street building will close from Saturday 5 October until Monday 21 October for essential repairs. Alternative access will be provided on Malet Street, including an accessible route for visitors with a disability and wheelchair users. There will be signage to guide you to these entrances.
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