Abstract Background: Timely prediction of temporal RVF epidemics is limited by absence of time-series data as disease epidemics occur for a short period of time after every seven to fifteen years’ episodes. This necessitates the use of anomaly detection systems (ADS) that would detect unusual behaviour within simulated data as a clue for temporal predictions …

Investigating use of ADS to identify temporal patterns associated with RVF epidemics Read More »