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Modelling Ebola

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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.
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Keywords: COMPLEX SYSTEMS; DETERMINISTIC; EBOLA; EPIDEMIOLOGY; MODELLING; STOCHASTIC

Document Type: Review Article

Affiliations: Kalamazoo College, Michigan

Publication date: 01 June 2016

This article was made available online on 08 June 2016 as a Fast Track article with title: "Modelling Ebola".

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  • SCIENCE PROGRESS has for over 100 years been a highly regarded review publication in science, technology and medicine. Its objective is to excite the readers' interest in areas with which they may not be fully familiar but which could facilitate their interest, or even activity, in a cognate field. Science Progress commissions world authorities to contribute articles on the most interesting, important and meaningful topics - ranging from cosmology to the environment - and ensures that they are presented for the most effective use of those in both academia and industry.

    Truly, Science Progress publishes an eclectic mix of articles that no library can afford to be without.

    Cover image: Plastic debris washed-up on a river bank. The manufacture and use of different types of plastic, and the effects of pollution by these materials are discussed in the article on pages 207–260. Credit: By igorstevanovic/Shutterstock.com.

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