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Deep Learning for Disease Outbreak Prediction: A Robust Early Warning Signal for Transcritical Bifurcations
Reza Miry, Amit K. Chakraborty, Russell Greiner +4
Early Warning Signals (EWSs) are vital for implementing preventive measures before a disease turns into a pandemic. While new diseases exhibit unique behaviors, they often share fu…
Early detection of disease outbreaks and non-outbreaks using incidence data
Shan Gao, Amit K. Chakraborty, Russell Greiner +2
Forecasting the occurrence and absence of novel disease outbreaks is essential for disease management. Here, we develop a general model, with no real-world training data, that accu…
An early warning indicator trained on stochastic disease-spreading models with different noises
Amit K. Chakraborty, Shan Gao, Reza Miry +4
The timely detection of disease outbreaks through reliable early warning signals (EWSs) is indispensable for effective public health mitigation strategies. Nevertheless, the intric…