epiDMS: Data Management and Analytics for Decision-Making From Epidemic Spread Simulation Ensembles
We describe and illustrate with examples a novel epidemic simulation data management system, epiDMS, that was developed to address the challenges that arise from the need to generate, search, visualize, and analyze, in a scalable manner, large volumes of epidemic simulation ensembles and observations during the progression of an epidemic.
Results and conclusions. epiDMS is a publicly available system that facilitates management and analysis of large epidemic simulation ensembles. epiDMS aims to fill an important hole in decision-making during healthcare emergencies by enabling critical services with significant economic and health impact.
Source: The Journal of Infectious Diseases - Category: Infectious Diseases Authors: Liu, S., Poccia, S., Candan, K. S., Chowell, G., Sapino, M. L. Tags: BIG DATA FOR INFECTIOUS DISEASE SURVEILLANCE AND MODELING Source Type: research