Literature DB >> 16377861

Network based models of infectious disease spread.

Stephen Eubank1.   

Abstract

It has recently become possible to simulate directly dynamics on very large networks. This paper describes a model of epidemiology on a social network, the Epidemiological Simulation System (EpiSims), and offers general speculation on analyzing disease dynamics on networks. We describe the process of building a realistic social network, describe several different definitions of the network, each useful for certain purposes. Finally, we raise some important questions about structural properties of networks and how they influence dynamics.

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Mesh:

Year:  2005        PMID: 16377861

Source DB:  PubMed          Journal:  Jpn J Infect Dis        ISSN: 1344-6304            Impact factor:   1.362


  11 in total

1.  Synthesized Population Databases: A US Geospatial Database for Agent-Based Models.

Authors:  William D Wheaton; James C Cajka; Bernadette M Chasteen; Diane K Wagener; Philip C Cooley; Laxminarayana Ganapathi; Douglas J Roberts; Justine L Allpress
Journal:  Methods Rep RTI Press       Date:  2009-05-01

2.  Virtual epidemic in a virtual city: simulating the spread of influenza in a US metropolitan area.

Authors:  Bruce Y Lee; Virginia L Bedford; Mark S Roberts; Kathleen M Carley
Journal:  Transl Res       Date:  2008-04-03       Impact factor: 7.012

3.  Individual-based modeling of potential poliovirus transmission in connected religious communities in North America with low uptake of vaccination.

Authors:  Kasper H Kisjes; Radboud J Duintjer Tebbens; Gregory S Wallace; Mark A Pallansch; Stephen L Cochi; Steven G F Wassilak; Kimberly M Thompson
Journal:  J Infect Dis       Date:  2014-11-01       Impact factor: 5.226

Review 4.  Finding the probability of infection in an SIR network is NP-Hard.

Authors:  Michael Shapiro; Edgar Delgado-Eckert
Journal:  Math Biosci       Date:  2012-07-20       Impact factor: 2.144

5.  Contact heterogeneity and phylodynamics: how contact networks shape parasite evolutionary trees.

Authors:  Eamon B O'Dea; Claus O Wilke
Journal:  Interdiscip Perspect Infect Dis       Date:  2010-12-01

Review 6.  Visualization and analytics tools for infectious disease epidemiology: a systematic review.

Authors:  Lauren N Carroll; Alan P Au; Landon Todd Detwiler; Tsung-Chieh Fu; Ian S Painter; Neil F Abernethy
Journal:  J Biomed Inform       Date:  2014-04-16       Impact factor: 6.317

7.  Reporting errors in infectious disease outbreaks, with an application to Pandemic Influenza A/H1N1.

Authors:  Laura F White; Marcello Pagano
Journal:  Epidemiol Perspect Innov       Date:  2010-12-15

8.  Reconstructing the 2003/2004 H3N2 influenza epidemic in Switzerland with a spatially explicit, individual-based model.

Authors:  Timo Smieszek; Michael Balmer; Jan Hattendorf; Kay W Axhausen; Jakob Zinsstag; Roland W Scholz
Journal:  BMC Infect Dis       Date:  2011-05-09       Impact factor: 3.090

9.  Optimization and Control of Agent-Based Models in Biology: A Perspective.

Authors:  G An; B G Fitzpatrick; S Christley; P Federico; A Kanarek; R Miller Neilan; M Oremland; R Salinas; R Laubenbacher; S Lenhart
Journal:  Bull Math Biol       Date:  2016-11-08       Impact factor: 1.758

10.  Temporal correlation coefficient for directed networks.

Authors:  Kathrin Büttner; Jennifer Salau; Joachim Krieter
Journal:  Springerplus       Date:  2016-07-28
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