Literature DB >> 16846906

Demographic structure and pathogen dynamics on the network of livestock movements in Great Britain.

R R Kao1, L Danon, D M Green, I Z Kiss.   

Abstract

Using a novel interpretation of dynamic networks, we analyse the network of livestock movements in Great Britain in order to determine the risk of a large epidemic of foot-and-mouth disease (FMD). This network is exceptionally well characterized, as there are legal requirements that the date, source, destination and number of animals be recorded and held on central databases. We identify a percolation threshold in the structure of the livestock network, indicating that, while there is little possibility of a national epidemic of FMD in winter when the catastrophic 2001 epidemic began, there remains a risk in late summer or early autumn. These predictions are corroborated by a non-parametric simulation in which the movements of livestock in 2003 and 2004 are replayed as they occurred. Despite the risk, we show that the network displays small-world properties which can be exploited to target surveillance and control and drastically reduce this risk.

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Mesh:

Year:  2006        PMID: 16846906      PMCID: PMC1635475          DOI: 10.1098/rspb.2006.3505

Source DB:  PubMed          Journal:  Proc Biol Sci        ISSN: 0962-8452            Impact factor:   5.349


  24 in total

Review 1.  The role of mathematical modelling in the control of the 2001 FMD epidemic in the UK.

Authors:  Rowland R Kao
Journal:  Trends Microbiol       Date:  2002-06       Impact factor: 17.079

2.  The impact of local heterogeneity on alternative control strategies for foot-and-mouth disease.

Authors:  Rowland R Kao
Journal:  Proc Biol Sci       Date:  2003-12-22       Impact factor: 5.349

3.  Modelling disease outbreaks in realistic urban social networks.

Authors:  Stephen Eubank; Hasan Guclu; V S Anil Kumar; Madhav V Marathe; Aravind Srinivasan; Zoltán Toroczkai; Nan Wang
Journal:  Nature       Date:  2004-05-13       Impact factor: 49.962

Review 4.  The architecture of complex weighted networks.

Authors:  A Barrat; M Barthélemy; R Pastor-Satorras; A Vespignani
Journal:  Proc Natl Acad Sci U S A       Date:  2004-03-08       Impact factor: 11.205

5.  On the definition and the computation of the basic reproduction ratio R0 in models for infectious diseases in heterogeneous populations.

Authors:  O Diekmann; J A Heesterbeek; J A Metz
Journal:  J Math Biol       Date:  1990       Impact factor: 2.259

6.  Disease contact tracing in random and clustered networks.

Authors:  Istvan Z Kiss; Darren M Green; Rowland R Kao
Journal:  Proc Biol Sci       Date:  2005-07-07       Impact factor: 5.349

7.  Infectious disease control using contact tracing in random and scale-free networks.

Authors:  Istvan Z Kiss; Darren M Green; Rowland R Kao
Journal:  J R Soc Interface       Date:  2006-02-22       Impact factor: 4.118

8.  Percolation in directed scale-free networks.

Authors:  N Schwartz; R Cohen; D Ben-Avraham; A-L Barabási; S Havlin
Journal:  Phys Rev E Stat Nonlin Soft Matter Phys       Date:  2002-07-26

9.  Temporal and geographical distribution of cases of foot-and-mouth disease during the early weeks of the 2001 epidemic in Great Britain.

Authors:  J C Gibbens; J W Wilesmith
Journal:  Vet Rec       Date:  2002-10-05       Impact factor: 2.695

10.  The influence of concurrent partnerships on the dynamics of HIV/AIDS.

Authors:  C H Watts; R M May
Journal:  Math Biosci       Date:  1992-02       Impact factor: 2.144

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  81 in total

1.  Optimizing surveillance for livestock disease spreading through animal movements.

Authors:  Paolo Bajardi; Alain Barrat; Lara Savini; Vittoria Colizza
Journal:  J R Soc Interface       Date:  2012-06-22       Impact factor: 4.118

2.  Statistical inference to advance network models in epidemiology.

Authors:  David Welch; Shweta Bansal; David R Hunter
Journal:  Epidemics       Date:  2011-01-28       Impact factor: 4.396

3.  Utility of R0 as a predictor of disease invasion in structured populations.

Authors:  Paul C Cross; Philip L F Johnson; James O Lloyd-Smith; Wayne M Getz
Journal:  J R Soc Interface       Date:  2007-04-22       Impact factor: 4.118

4.  Modelling the initial spread of foot-and-mouth disease through animal movements.

Authors:  D M Green; I Z Kiss; R R Kao
Journal:  Proc Biol Sci       Date:  2006-11-07       Impact factor: 5.349

5.  Recent network evolution increases the potential for large epidemics in the British cattle population.

Authors:  S E Robinson; M G Everett; R M Christley
Journal:  J R Soc Interface       Date:  2007-08-22       Impact factor: 4.118

6.  Preventable H5N1 avian influenza epidemics in the British poultry industry network exhibit characteristic scales.

Authors:  A R T Jonkers; K J Sharkey; R M Christley
Journal:  J R Soc Interface       Date:  2009-10-14       Impact factor: 4.118

Review 7.  One model to rule them all? Modelling approaches across OneHealth for human, animal and plant epidemics.

Authors:  Adam Kleczkowski; Andy Hoyle; Paul McMenemy
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2019-06-24       Impact factor: 6.237

8.  Calculation of disease dynamics in a population of households.

Authors:  Joshua V Ross; Thomas House; Matt J Keeling
Journal:  PLoS One       Date:  2010-03-18       Impact factor: 3.240

9.  Sheep movement networks and the transmission of infectious diseases.

Authors:  Victoriya V Volkova; Richard Howey; Nicholas J Savill; Mark E J Woolhouse
Journal:  PLoS One       Date:  2010-06-17       Impact factor: 3.240

10.  Demographic risk factors for classical and atypical scrapie in Great Britain.

Authors:  Darren M Green; Victor J Del Rio Vilas; Colin P D Birch; Jethro Johnson; Istvan Z Kiss; Noel D McCarthy; Rowland R Kao
Journal:  J Gen Virol       Date:  2007-12       Impact factor: 3.891

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