Noise is the signal: variability in surveillance data provide early indication of epidemic phase
Predicting epidemic surges is challenging and often relies on prior seasons, outbreaks in other regions, and advanced modeling of surveillance data. Using foundational principles of disease growth and spread, including trend analysis and overdispersion, we developed a surge detection algorithm for emerging pathogens th...