Testing the accuracy ratio of the Spatio-Temporal Epidemiological Modeler (STEM) through Ebola haemorrhagic fever outbreaks.

Epidemiol Infect 2016 05;144(7):1463-72

International Master Courses in Protection Against CBRNe events,Department of Industrial Engineering and School of Medicine and Surgery,University of Rome Tor Vergata,Italy.

Mathematical modelling is an important tool for understanding the dynamics of the spread of infectious diseases, which could be the result of a natural outbreak or of the intentional release of pathogenic biological agents. Decision makers and policymakers responsible for strategies to contain disease, prevent epidemics and fight possible bioterrorism attacks, need accurate computational tools, based on mathematical modelling, for preventing or even managing these complex situations. In this article, we tested the validity, and demonstrate the reliability, of an open-source software, the Spatio-Temporal Epidemiological Modeler (STEM), designed to help scientists and public health officials to evaluate and create models of emerging infectious diseases, analysing three real cases of Ebola haemorrhagic fever (EHF) outbreaks: Uganda (2000), Gabon (2001) and Guinea (2014). We discuss the cases analysed through the simulation results obtained with STEM in order to demonstrate the capability of this software in helping decision makers plan interventions in case of biological emergencies.

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http://dx.doi.org/10.1017/S0950268815002939DOI Listing
May 2016
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References

(Supplied by CrossRef)
Ebola virus disease, West Africa
Weekly Epidemiological Record 2014
Outbreak(s) of Ebola hemorrhagic fever, Congo and Gabon, October 2001–July 2002
Weekly Epidemiological Record 2003

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