As a guest user you are not logged in or recognized by your IP address. You have
access to the Front Matter, Abstracts, Author Index, Subject Index and the full
text of Open Access publications.
The proposal of new analytical techniques has guided innovative methodological developments in public health interventions. The goal of this work is show advances in the development of a large scale system for space-time visualization, monitoring, modeling and analysis of epidemic data using a Grid platform. The resulting virtual laboratory, dubbed IntegraEPI, is expected to provide better epidemic forecasting and to define better strategies to fight the spread of a disease, in which new population-level interventions could be evaluated and iteratively refined using computational simulations, with tangible benefits for real-world epidemic prevention and control efforts.
This website uses cookies
We use cookies to provide you with the best possible experience. They also allow us to analyze user behavior in order to constantly improve the website for you. Info about the privacy policy of IOS Press.
This website uses cookies
We use cookies to provide you with the best possible experience. They also allow us to analyze user behavior in order to constantly improve the website for you. Info about the privacy policy of IOS Press.