Modelling Ebola. (June 2016)

• Record Type: Journal Article
• Authors: Kamalaldin, Kamalaldin; Salome, Amber; Érdi, Péter
• Is Part Of: Science progress. Volume 99:Number 2(2016)
• Page Start: 200
• Page End: 219
• Publication Date: 2016-06
• Subjects: deterministic -- stochastic -- complex systems -- modelling -- Ebola -- epidemiology; Science -- Periodicals; Research; Science; Science; Electronic journals; Periodicals; Periodicals; 505
• DOI: 10.3184/003685016X14576998570659
• Languages: English
• ISSNs: 0036-8504

Abstract

This paper is the combination of a review on the problems of data collection and modelling efforts of the recent Ebola epidemics. After a brief review of data availability, the modelling frameworks have been discussed. Both deterministic and stochastic models have been reviewed and supplemented with a short discussion of some problems of parameter estimation. The methods have been illustrated by a realistic case study. A hint is given for the scope and limits of prediction and control.