Constructing and Managing Custom Data Set for Disease Modeling

Modeling Workflow – Parameter collection, modeling, analysis

The problems:

  • Data design - SQL vs. NoSQL – Why the war?
  • Grouping
  • Location
  • Dealing with Terabytes and Petabytes when you only need Megabytes
  • Provenance

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Constructing and Managing Data Set for Disease Modeling


About Dennis Harding

Dennis Harding has over twenty years in software and engineering expertise, with a Bachelor of Science degree in Electrical Engineering from San Jose State University as well as two years of graduate work in Computer Science from Santa Clara University. Dennis’ past work has included microwave communications as well as computer science, and he has two patents to his credit, as well as five more patents still pending for his work. Dennis is a member of the IEEE, a SCRUM master, and is experienced with Agile development.

Dennis’ IDM work is focused on large data, and he leads IDM’s development efforts related to Large Data, including the generation of, management of, and storage issues related to extremely large data sets, such as those required for accurate simulation modeling.

About the Institute for Disease Modeling

The Institute for Disease Modeling (IDM) develops detailed, geographically-specific, and mechanistic stochastic simulations of disease transmission through the use of extensive and complex software modeling. IDM shares this modeling software with the research community to advance the understanding of disease dynamics.

IDM's epidemiological modeling software, called EMOD, helps determine the combination of health policies and intervention strategies that can lead to disease eradication. EMOD calculates how diseases may spread in particular areas and is used to analyze the effects of current and future health policies and intervention strategies. It supports infectious disease campaign planning, data gathering, new product development, and policy decisions for four generic transmission types: vector-borne, water-borne, airborne, and sexually transmitted (e.g. Malaria, TB, Influenza, Pertussis, HIV).