Epidemic modeling in complex realities Export

@article{Colizza:2007, abstract = {In our global world, the increasing complexity of social relations and transport infrastructures are key factors in the spread of epidemics. In recent years, the increasing availability of computer power has enabled both to obtain reliable data allowing one to quantify the complexity of the networks on which epidemics may propagate and to envision computational tools able to tackle the analysis of such propagation phenomena. These advances have put in evidence the limits of homogeneous assumptions and simple spatial diffusion approaches, and stimulated the inclusion of complex features and heterogeneities relevant in the description of epidemic diffusion. In this paper, we review recent progresses that integrate complex systems and networks analysis with epidemic modelling and focus on the impact of the various complex features of real systems on the dynamics of epidemic spreading. To cite this article: V. Colizza et al., C. R. Biologies 330 (2007).}, author = {Colizza, V. and Barthelemy, M. and Barrat, A. and Vespignani, A.}, booktitle = {L'\'{e}pid\'{e}miologie : une science en d\'{e}veloppement / Epidemiology : a developing science}, citeulike-article-id = {3125802}, citeulike-linkout-0 = {http://dx.doi.org/10.1016/j.crvi.2007.02.014}, citeulike-linkout-1 = {http://linkinghub.elsevier.com/retrieve/pii/S1631069107001102}, citeulike-linkout-2 = {http://www.sciencedirect.com/science/article/B6X1F-4NF2NK9-3/2/8892b0e6154c40e76ab8a3897a029994}, doi = {10.1016/j.crvi.2007.02.014}, issn = {16310691}, journal = {Comptes Rendus Biologies}, keywords = {diffusion, epidemic, networks, spatial}, month = {April}, number = {4}, pages = {364--374}, posted-at = {2009-10-15 12:41:38}, priority = {2}, title = {Epidemic modeling in complex realities}, url = {http://dx.doi.org/10.1016/j.crvi.2007.02.014}, volume = {330}, year = {2007} }

TY - JOUR ID - Colizza:2007 L3 - citeulike-article-id:3125802 N2 - In our global world, the increasing complexity of social relations and transport infrastructures are key factors in the spread of epidemics. In recent years, the increasing availability of computer power has enabled both to obtain reliable data allowing one to quantify the complexity of the networks on which epidemics may propagate and to envision computational tools able to tackle the analysis of such propagation phenomena. These advances have put in evidence the limits of homogeneous assumptions and simple spatial diffusion approaches, and stimulated the inclusion of complex features and heterogeneities relevant in the description of epidemic diffusion. In this paper, we review recent progresses that integrate complex systems and networks analysis with epidemic modelling and focus on the impact of the various complex features of real systems on the dynamics of epidemic spreading. To cite this article: V. Colizza et al., C. R. Biologies 330 (2007). IS - 4 JF - Comptes Rendus Biologies SN - 16310691 EP - 374 TI - Epidemic modeling in complex realities VL - 330 T2 - L'épidémiologie : une science en développement / Epidemiology : a developing science SP - 364 KW - diffusion KW - epidemic KW - networks KW - spatial AU - Colizza, V AU - Barthelemy, M AU - Barrat, A AU - Vespignani, A PY - 2007/04// UR - http://dx.doi.org/10.1016/j.crvi.2007.02.014 ER -