Skip to main content

Displaying results 1 - 3 of 3
  • Content Type: Abstract

    Bio-surveillance systems monitor multiple data streams (over-the-counter (OTC) sales, Emergency Department visits, etc.) to detect both natural disease outbreaks (e.g. influenza) and bio-terrorist attacks (e.g. anthrax re-lease). Many detection… read more
    … impressive results under simulated environments, but the com- plex behavior of real-world data and high costs asso- … can access alerts online on the SSS website, add and view com- ments on each alert, and select which alerts they want … Maheshkumar R. Sabhnani, sabhnani+@cs.cmu.edu www.autonlab.org Advances in Disease Surveillance 2006;1:62 …
  • Content Type: Abstract

    This paper develops a new Bayesian method for cluster detection, the ìBayesian spatial scan statistic,î and compares this method to the standard (frequen-tist) scan statistic approach on the task of prospective disease surveillance.
    … tant statistical tools for cluster detection, and is com- monly used in the public health community for detec- … Further Information: Daniel B. Neill, neill@cs.cmu.edu www.cs.cmu.edu/~neill and www.autonlab.org Advances in Disease Surveillance 2006;1:55 …
  • Content Type: Abstract

    This paper develops a new method for multivariate spatial cluster detection, the ìmultivariate Bayesian scan statisticî (MBSS). MBSS combines information from multiple data streams in a Bayesian framework, enabling faster and more accurate… read more
    … Further Information: Daniel B. Neill, neill@cs.cmu.edu www.cs.cmu.edu/~neill and www.autonlab.org Advances in Disease Surveillance 2007;2:60 mailto:neill@cs.cmu.edu http://www.cs.cmu.edu/%7Eneill A Multivariate Bayesian Scan …