Objective This work leverages spatio-temporal data mining (ST-DM), the MiSTIC (Mining Spatio-Temporally Invariant Cores)[1,6] method for infectious disease surveillance, by identifying a) Extent of spatial spread of disease core regions across populations-scale of disease prevalence b) Possible causes of the observed patterns-for better prediction, detection & management of infectious disease &...

Enhanced surveillance for infectious disease events, with accelerated routine reporting and daily supplementary reports, was undertaken during the 2006 FIFA World Cup in Germany. We evaluated the surveillance outputs, reporting intervals and detection of World Cup-relevant events for the enhanced system. Outbreak numbers for measles, Norovirus and Campylobacter were significantly higher than in...

A recent zoonotic and infectious disease field surveillance study in Honduras resulted in the discovery of Toxoplasma, Trypanosoma, Leishmania, Rickettsia, and Lyme disease with statistically high prevalence rates in a group of feral cats. All five diseases--Toxoplasmosis, Trypanosomiasis, Leishmaniasis, Rickettsiosis, and Lyme disease--were confirmed in this group of cats having close contact ...