Article

Prospects for detecting early warning signals in discrete event sequence data: application to epidemiological incidence data

2020-04-02

Abstract excerpt

Early warning signals (EWS) identify systems approaching a critical transition, where the system undergoes a sudden change in state. For example, monitoring changes in variance or autocorrelation offers a computationally inexpensive method which can be used in real-time to assess when an infectious disease transitions to elimination. EWS have a promising potential to not only be used to monitor infectious diseases...

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Literature Corpus work: d7f9cef6-52f1-54f1-949f-758180726736
DOI: 10.1101/2020.04.02.021576

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