Please register for this upcoming webinar hosted by ISDS!
Analytic Methodologies for Disease Surveillance Using Multiple Sources of Evidence
Date: Thursday, November 6, 2014
Time: 11:00 AM – 12:30 PM EDT (16:00 – 17:30 GMT)
This presentation is for public health practitioners and methodology developers interested in using statistical methods to combine evidence from multiple data sources for increased sensitivity to disease outbreaks. Methods described will account for practical issues such as delays in outbreak effects between evidence types. Presented examples will include outbreaks from multiple years of authentic data as well as simulations. The ensuing discussion with attendees will explore the role and scope of multivariate surveillance for the situational awareness of public health monitors.
Linus Schiöler, Statistical Research Unit, Department of Economics, University of Gothenburg, Gothenburg, Sweden
Schiöler L. and Frisén, M. (2012): Multivariate outbreak detection,Journal of Applied Statistics, 39:2, 223-242,
Howard Burkom, Johns Hopkins Applied Physics Laboratory, Laurel, MD
Burkom H. S., Ramac-Thomas L., Babin S., Holtry R., Mnatsakanyan Z. and Yund C. (2011), An integrated approach for fusion of environmental and human health data for disease surveillance. Statistics in Medicine, 30: 470-479. doi: 10.1002/sim.3976
Learn more about this webinar on our website.
This webinar is being hosted by the ISDS Research Committee.