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

F. BALDASSI, F. D'AMICO, M. CARESTIA, O. CENCIARELLI, S. MANCINELLI, F. GILARDI, A. MALIZIA, D. DI GIOVANNI, P. M. SOAVE, C. BELLECCI, P. GAUDIO, L. PALOMBI
  • Epidemiology and Infection, December 2015, Cambridge University Press
  • DOI: 10.1017/s0950268815002939

What is it about?

The work is based on the application of software (STEM) able to predict, through alghoritms used for numerica simulation, the diffusion of biological contaminations and epidemic outbreaks like the one of ebola

Why is it important?

It is not possible use only statistical analysis, even if these are based on analysis of real scenarios, to properly predict a situation like the one in Africa. It is important combine the numerical tools (like STEM) to the statistical prediction, to help decision makers in the decision process in order to reduce the risks associated.

Perspectives

Dr Andrea Malizia
Department of Industrial Engineering, University of Rome Tor Vergata

I work in CBRNe fields, in the aim of the activities of International Master COurses in Protection against CBRNe events (www.mastercbrn.com) and also with the partecipation of my research group (qepresearch.jimdo.com) in H2020 and similar program focused on safety and security. We are interest to STEM or software like that as DSS to predict CBRNe diffusions.

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http://dx.doi.org/10.1017/s0950268815002939

The following have contributed to this page: Dr Andrea Malizia