BioMed Central | Full text | Multi-agent systems in epidemiology: a first step for computational biology in the study of vector-borne disease transmission Philosophy of this model Earlier individual-based systems [14,34] were quite complex and used the computational framework to produce very complicated models. The main target of these models was to make predictions about possible future dynamics of a given disease. We followed a totally different approach in order to build a very simple model, and in this paper we will: (i) give a clear and detailed description of our simple spatial model to be used as a "reference" for vector-borne diseases, (ii) define the core mechanisms of vector-borne diseases in a spatial context that, hopefully, will be used as reference for future studies (Additional file 1, section 2.1) and (iii) explain how this model could be easily adapted to other disease situations. The theoretical analysis putted in the supplementary informations has been done with an high (and unrealistic) value of pathogen transmission to allow us an analysis without an huge number of host individuals, both vectors and reservoirs. Host
Spatio-temporal model of avian influenza spread risk Volume 7, 2011, Pages 104–109 Spatial Statistics 2011: Mapping Global Change Edited By Alfred Stein, Edzer Pebesma and Gerard Heuvelink Abstract HPAI virus has caused significant economic losses in the poultry industry. Keywords spatial analysis; avian influenza; risk factors; modelling diseases; multicriteria decision; scan statistics References [1]Conclusions of Council of the European Union about Animal Disease Surveillance systems in the EU Seminar Conclusions. 9547/10. [21]D.E.
model transmission vectorielle, application écon Abstract The paper presents the optimal control applied to a vector borne disease with direct transmission in host population. First, we show the existence of the control problem and then use both analytical and numerical techniques to investigate that there are cost effective control efforts for prevention of direct and indirect transmission of disease. In order to do this three control functions are used, one for vector-reduction strategies and the other two for personal (human) protection and blood screening, respectively. We completely characterize the optimal control and compute the numerical solution of the optimality system using an iterative method. Keywords Epidemic model; Optimal control; Pontryagin’s Maximum Principle; Numerical simulation Copyright © 2011 Elsevier Ltd.
Introduction to social network methods by bihonglee Aug 25