INFERNO: a system for early outbreak detection and signature forecasting.

@article{Naumova2005INFERNOAS,
  title={INFERNO: a system for early outbreak detection and signature forecasting.},
  author={Elena N. Naumova and Eileen A O'Neil and Ian B Macneill},
  journal={MMWR supplements},
  year={2005},
  volume={54},
  pages={77-83}
}
OBJECTIVE Public health surveillance systems that monitor daily disease incidence provide valuable information about threats to public health and enable public health authorities to detect enteric outbreaks rapidly. This report describes the INtegrated Forecasts and EaRly eNteric Outbreak (INFERNO) detection system of algorithms for outbreak detection and forecasting. METHODS INFERNO incorporates existing knowledge of infectious disease epidemiology into adaptive forecasts and uses the… CONTINUE READING