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Networks and Models with Heterogeneous Population Structure in Epidemiology [chapter]

R. R. Kao
2010 Network Science  
approaches with data on real population structures.  ...  In this chapter, some concepts in disease modelling will be introduced, the relevance of selected network phenomena discussed, and then results from real data and their relationship to network analyses  ...  Population Structure in Epidemiology Networks and Models with Heterogeneous Population Structure in Epidemiology Networks and Models with Heterogeneous Population Structure in Epidemiology  ... 
doi:10.1007/978-1-84996-396-1_4 fatcat:paex3ljel5be7ehrxs7dbqqf6a

Inferring population-level contact heterogeneity from common epidemic data

J. C. Stack, S. Bansal, V. S. A. Kumar, B. Grenfell
2012 Journal of the Royal Society Interface  
about host contact structure in contemporary or historic populations of humans and animals.  ...  Models of infectious disease spread that incorporate contact heterogeneity through contact networks are an important tool for epidemiologists studying disease dynamics and assessing intervention strategies  ...  The authors also thank David Hunter and David Welch for discussions and feedback. This work is supported by NIH (grant no. R01-GM083603-01); by NIH MIDAS project 2U01GM070694-7 and DTRA (grant no.  ... 
doi:10.1098/rsif.2012.0578 pmid:23034353 pmcid:PMC3565785 fatcat:2dqtpcwkf5aptfnkmqhqyjdblq

When individual behaviour matters: homogeneous and network models in epidemiology

S. Bansal, B. T Grenfell, L. A. Meyers
2007 Journal of the Royal Society Interface  
Here, we use a network perspective to quantify the extent to which real populations depart from the homogeneous-mixing assumption, in terms of both the underlying network structure and the resulting epidemiological  ...  In general, however, network models are more intuitive and accurate for predicting disease spread through heterogeneous host populations.  ...  The authors thank Richard Rothenberg and Sara Del Valle for sharing data; Shashank Khandelwal for algorithm implementation; Erik Volz for technical advice and stimulating discussions; and three anonymous  ... 
doi:10.1098/rsif.2007.1100 pmid:17640863 pmcid:PMC2394553 fatcat:463balfbszh4pg54sz5hft72iu

The Interface Between Epidemiology and Population Genetics

S. Paterson, M.E. Viney
2000 Parasitology Today  
Contact Networks in Epidemiology Contact networks (Fig. I, below) can be used in epidemiology to model transmission.  ...  Modeling spatial heterogeneity is also an important issue in epidemiology. Populations are composed of individuals that interact with only a limited number of other individuals.  ... 
doi:10.1016/s0169-4758(00)01776-2 pmid:11121850 fatcat:sjaqcwpf2bcizglr6ii3mbrpfa

Epidemic modeling in complex realities

Vittoria Colizza, Marc Barthélemy, Alain Barrat, Alessandro Vespignani
2007 Comptes rendus. Biologies  
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  ...  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  ...  A.B. and A.V. are partially funded by the EC contract 001907 (DELIS).  ... 
doi:10.1016/j.crvi.2007.02.014 pmid:17502293 fatcat:aja22okfhrb7phrlkwfptb3zuu

Clusters of poverty and disease emerge from feedbacks on an epidemiological network

M. M. Plucinski, C. N. Ngonghala, W. M. Getz, M. H. Bonds
2012 Journal of the Royal Society Interface  
Here, we provide a novel framework that integrates epidemiological and economic growth theory on an individual-based hierarchically structured network.  ...  Our model indicates that, under certain parameter regimes, feedbacks between disease ecology and economics create clusters of low income and high disease that can stably persist in populations that become  ...  in initial heterogeneities in contact structure and disease state.  ... 
doi:10.1098/rsif.2012.0656 pmid:23256187 pmcid:PMC3565726 fatcat:az7uv2dr5nhflbeqlrwk5mf4ma

Phylodynamics on local sexual contact networks

David A. Rasmussen, Roger Kouyos, Huldrych F. Günthard, Tanja Stadler, Samuel Alizon
2017 PLoS Computational Biology  
Phylodynamic models are widely used in infectious disease epidemiology to infer the dynamics and structure of pathogen populations.  ...  We present a new framework for phylodynamics on local contact networks based on pairwise epidemiological models that track the status of pairs of nodes in the network rather than just individuals.  ...  We thank the patients who participate in the SHCS; the physicians and study nurses, for excellent patient care; the resistance laboratories, for high-quality genotypic drug resistance testing; SmartGene  ... 
doi:10.1371/journal.pcbi.1005448 pmid:28350852 pmcid:PMC5388502 fatcat:tszy27geynbsdmycj4hj2vpe44

Social network analysis and agent-based modeling in social epidemiology

Abdulrahman M El-Sayed, Peter Scarborough, Lars Seemann, Sandro Galea
2012 Epidemiologic Perspectives & Innovations  
Social network analysis and agent-based models (ABMs) are two approaches that have been used in the epidemiologic literature.  ...  In this paper, we discuss the implementation of these models in social epidemiologic research, highlighting the strengths and weaknesses of each approach.  ...  Acknowledgements This study was funded in part by the Rhodes Trust (AME), the British Heart Foundation (PS), and NSF award #0840889 (LS)  ... 
doi:10.1186/1742-5573-9-1 pmid:22296660 pmcid:PMC3395878 fatcat:iizpahittfh7xiwdcxpxlauuri

A Network Model for Dispersion of Communicable Diseases

Ling Bian, David Liebner
2007 Transactions on GIS  
The sections that follow discuss an individual-based conceptual framework, a model structure, and the parameters associated with the model structure.  ...  The framework specifies a network model structure and six associated parameters. These parameters describe the properties of nodes, the properties of links, and the topology of the network.  ...  Acknowledgements This research was funded in part by the National Institute of Environmental Health Sciences, National Institutes of Health under Award No. R01 ES09816-01.  ... 
doi:10.1111/j.1467-9671.2007.01039.x fatcat:hc3mf532hfhhfcwyam7nvjsu5q

The impact of contact structure on infectious disease control: influenza and antiviral agents

H.-P. DUERR, M. SCHWEHM, C. C. LEARY, S. J. De Vlas, M. EICHNER
2007 Epidemiology and Infection  
Running head: Influenza and network structure 2 1.  ...  To investigate how the effectiveness of such interventions depends on contact structure, we simulate the effects in networks with variable degree distributions.  ...  On the other hand, intervention effectiveness does depend on heterogeneity in the degree distribution and is more efficient in networks with low variance than with high variance ( figure 3c and e) .  ... 
doi:10.1017/s0950268807007959 pmid:17288643 fatcat:v3hz4rd2g5b2thblbujhclh7le

Networks and the ecology of parasite transmission: A framework for wildlife parasitology

Stephanie S. Godfrey
2013 International Journal for Parasitology: Parasites and Wildlife  
The structured nature of animal behaviour can generate heterogeneities in the transmission of parasites , and theoretical models have shown that incorporating these heterogeneities into epidemiological  ...  They also provide a framework for the epidemiological modelling of diseases through populations (Newman, 2002; Keeling and Eames, 2005) , and provide a versatile tool for exploring heterogeneity in parasite  ... 
doi:10.1016/j.ijppaw.2013.09.001 pmid:24533342 pmcid:PMC3862525 fatcat:2x3mdhg4jzcppduvvhcncvvc5a

The dynamic nature of contact networks in infectious disease epidemiology

Shweta Bansal, Jonathan Read, Babak Pourbohloul, Lauren Ancel Meyers
2010 Journal of Biological Dynamics  
This model did not allow for heterogeneous network structure, but did incorporate varying numbers of concurrent partners across the population.  ...  In addition, relationships activate and deactivate at heterogeneous rates α n,m and ρ n,m between individuals with n and m partners.  ... 
doi:10.1080/17513758.2010.503376 pmid:22877143 fatcat:vlpfbvlxefam5lkaeosbg6bkyy

Network models in epidemiology: an overview [chapter]

Alun L. Lloyd, Steve Valeika
2007 Complex Population Dynamics  
Network Model Settings Network Models as a Research Tool Since many epidemiologic systems can be most naturally described in terms of individual-level events and processes, network models have proved  ...  Impact of Heterogeneity Heterogeneous networks must be treated with some care.  ... 
doi:10.1142/9789812771582_0008 fatcat:cj3xakp3obbd5gtvl3qbb2suyy

Eight challenges for network epidemic models

Lorenzo Pellis, Frank Ball, Shweta Bansal, Ken Eames, Thomas House, Valerie Isham, Pieter Trapman
2015 Epidemics  
Networks offer a fertile framework for studying the spread of infection in human and animal populations.  ...  A more general theory is needed to understand the impact of network structure on the dynamics and control of infection.  ...  Acknowledgments The authors want to acknowledge the Isaac Newton Institute for Mathematical Sciences, Cambridge, UK, for hosting the Infectious Disease Dynamics programme that resulted in this collaboration  ... 
doi:10.1016/j.epidem.2014.07.003 pmid:25843385 fatcat:a6cfjc4zmngwvcda6qxius3gme

Introduction. Cross-scale influences on epidemiological dynamics: from genes to ecosystems

L. Matthews, D. Haydon
2007 Journal of the Royal Society Interface  
We would like to thank the authors and reviewers of these papers for their timely submissions, and Tim Holt for shouldering the bulk of the administrative work.  ...  Bansal et al. (2007) show that, while mildly heterogeneous contact structures can be captured through modified SIR compartmental models, network models more directly reflect the patterns of contact between  ...  Kao et al. (2007) make use of the natural structuring of the population into herds, with network approaches being applied to the livestock movements between herds.  ... 
doi:10.1098/rsif.2007.1173 pmcid:PMC2394559 fatcat:i2dexfqhg5f2lbzcvi5cgrf3yy
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