Implications of the cattle trade network in Cameroon for regional disease prevention and control
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Ian Handel | Rob Christley | Kenton Morgan | Thibaud Porphyre | R. Christley | K. Morgan | V. Tanya | Paolo Motta | P. Motta | I. Handel | T. Porphyre | B. Bronsvoort | S. Hamman | V. Ngu Ngwa | Barend M. deC. Bronsvoort | Saidou M. Hamman | Victor Ngu Ngwa | Vincent Tanya | Paolo Motta | Ian G. Handel | Victor Ngu Ngwa | Kenton L. Morgan | Rob Christley | B. M. D. Bronsvoort | B. M. Bronsvoort
[1] F. Natale,et al. Network analysis of Italian cattle trade patterns and evaluation of risks for potential disease spread. , 2009, Preventive Veterinary Medicine.
[2] N P French,et al. Patterns of contact within the New Zealand poultry industry. , 2010, Preventive veterinary medicine.
[3] R. Costagli,et al. Mapping cattle trade routes in southern Somalia: a method for mobile livestock keeping systems. , 2010, Revue scientifique et technique.
[4] Mark D. F. Shirley,et al. The impacts of network topology on disease spread , 2005 .
[5] Albert-László Barabási,et al. Statistical mechanics of complex networks , 2001, ArXiv.
[6] Cynthia M. Lakon,et al. How Correlated Are Network Centrality Measures? , 2008, Connections.
[7] Mark E. J. Newman,et al. Power-Law Distributions in Empirical Data , 2007, SIAM Rev..
[8] D. Pfeiffer,et al. Monitoring and controlling disease spread through live animal market networks. , 2013, The Veterinary Journal.
[9] Food Security. Agriculture Organization of the United Nations (FAO) , 2004 .
[10] Mike J Jeger,et al. Modelling disease spread and control in networks: implications for plant sciences. , 2007, The New phytologist.
[11] Mason A. Porter,et al. Core-Periphery Structure in Networks , 2012, SIAM J. Appl. Math..
[12] Duncan J. Watts,et al. Collective dynamics of ‘small-world’ networks , 1998, Nature.
[13] L. Danon,et al. Demographic structure and pathogen dynamics on the network of livestock movements in Great Britain , 2006, Proceedings of the Royal Society B: Biological Sciences.
[14] John Skvoretz,et al. Node centrality in weighted networks: Generalizing degree and shortest paths , 2010, Soc. Networks.
[15] C. Dubé,et al. An analysis of the movement of dairy cattle through 2 large livestock markets in the province of Ontario, Canada. , 2010, The Canadian veterinary journal = La revue veterinaire canadienne.
[16] J. Slingenbergh. World Livestock 2013: changing disease landscapes. , 2013 .
[17] J. Krause,et al. Potential banana skins in animal social network analysis , 2009, Behavioral Ecology and Sociobiology.
[18] S. Ferrari,et al. Author contributions , 2021 .
[19] D. Pfeiffer,et al. Use of social network analysis to characterize the pattern of animal movements in the initial phases of the 2001 foot and mouth disease (FMD) epidemic in the UK. , 2006, Preventive veterinary medicine.
[20] B. Dufour,et al. Vulnerability of animal trade networks to the spread of infectious diseases: a methodological approach applied to evaluation and emergency control strategies in cattle, France, 2005. , 2011, Transboundary and emerging diseases.
[21] D. Pfeiffer,et al. Live bird markets characterization and trading network analysis in Mali: Implications for the surveillance and control of avian influenza and Newcastle disease. , 2016, Acta tropica.
[22] Jure Leskovec,et al. Measurement error in network data: A re-classification , 2012, Soc. Networks.
[23] J. Robins,et al. Second look at the spread of epidemics on networks. , 2006, Physical review. E, Statistical, nonlinear, and soft matter physics.
[24] B. Bonfoh,et al. Potential Risk of Regional Disease Spread in West Africa through Cross-Border Cattle Trade , 2013, PloS one.
[25] I. Kiss,et al. The network of sheep movements within Great Britain: network properties and their implications for infectious disease spread , 2006, Journal of The Royal Society Interface.
[26] Martin Rosvall,et al. Maps of random walks on complex networks reveal community structure , 2007, Proceedings of the National Academy of Sciences.
[27] C. Guinat,et al. Exploring pig trade patterns to inform the design of risk-based disease surveillance and control strategies , 2016, Scientific Reports.
[28] C Dubé,et al. Introduction to network analysis and its implications for animal disease modelling. , 2011, Revue scientifique et technique.
[29] Stanley Wasserman,et al. Social Network Analysis: Methods and Applications , 1994, Structural analysis in the social sciences.
[30] Tomas Olovsson,et al. An Evaluation of Community Detection Algorithms on Large-Scale Email Traffic , 2012, SEA.
[31] Albert,et al. Emergence of scaling in random networks , 1999, Science.
[32] L. Haan,et al. Cross-border Cattle Marketing in Sub-Saharan Africa since 1900 , 2018, Agricultural Marketing in Tropical Africa.
[33] R. Christley,et al. Descriptive and social network analysis of pig transport data recorded by quality assured pig farms in the UK. , 2013, Preventive veterinary medicine.
[34] R. Christley,et al. Exploring the role of auction markets in cattle movements within Great Britain. , 2007, Preventive veterinary medicine.
[35] A. Waret-Szkuta,et al. Analysis of traditional poultry trader networks to improve risk-based surveillance. , 2013, Veterinary journal.
[36] M. Keeling,et al. Networks and epidemic models , 2005, Journal of The Royal Society Interface.
[37] Peter Dalgaard,et al. R Development Core Team (2010): R: A language and environment for statistical computing , 2010 .
[38] Nicholas J. Savill,et al. Sheep Movement Networks and the Transmission of Infectious Diseases , 2010, PloS one.
[39] Thomas W. Valente,et al. The stability of centrality measures when networks are sampled , 2003, Soc. Networks.
[40] J. Bruinsma,et al. World agriculture towards 2030/2050: the 2012 revision , 2012 .
[41] Andrea Lancichinetti,et al. Community detection algorithms: a comparative analysis: invited presentation, extended abstract , 2009, VALUETOOLS.
[42] José Manuel Sánchez-Vizcaíno,et al. Spatial and Functional Organization of Pig Trade in Different European Production Systems: Implications for Disease Prevention and Control , 2016, Front. Vet. Sci..
[43] R. Christley,et al. Infection in social networks: using network analysis to identify high-risk individuals. , 2005, American journal of epidemiology.