Using GIS to create synthetic disease outbreaks

Using GIS to create synthetic disease outbreaks

BACKGROUND The ability to detect disease outbreaks in their early stages is a key component of efficient disease control and prevention. With the increased availability of electronic health-care data and spatio-temporal analysis techniques, there is great potential to develop algorithms to enable more effective disease surveillance. However, to ensure that the algorithms are effective they need...

A Business Model to Detect Disease Outbreaks

Introduction: Every year several disease outbreaks, such as influenza-like illnesses (ILI) and other contagious illnesses, impose various costs to public and non-government agencies. Most of these expenses are due to not being ready to handle such disease outbreaks. An appropriate preparation will reduce the expenses. A system that is able to recognize these outbreaks can earn ...

Live cell lithography: using optical tweezers to create synthetic tissue.

We demonstrate a new method for creating synthetic tissue that has the potential to capture the three-dimensional (3D) complexity of a multi-cellular organism with submicron precision. Using multiple laminar fluid flows in a microfluidic network, we convey cells to an assembly area where multiple, time-shared optical tweezers are used to organize them into a complex array. The cells are then en...

Why to Create Personalities for Synthetic Actors

Using Climate to Predict Infectious Disease Outbreaks: A Review

Using climate to predict infectious disease outbreaks: a review Using climate to predict infectious disease outbreaks: a review permission to reproduce or translate WHO publications – whether for sale or for noncommercial distribution – should be addressed to Publications, at the above address (fax: +41 22 791 4806; The designations employed and the presentation of the material in this publicat...