Journal article

Using social network analysis to inform disease control interventions

Nelly Marquetoux, Mark A Stevenson, Peter Wilson, Anne Ridler, Cord Heuer



Contact patterns between individuals are an important determinant for the spread of infectious diseases in populations. Social network analysis (SNA) describes contact patterns and thus indicates how infectious pathogens may be transmitted. Here we explore network characteristics that may inform the development of disease control programes. This study applies SNA methods to describe a livestock movement network of 180 farms in New Zealand from 2006 to 2010. We found that the number of contacts was overall consistent from year to year, while the choice of trading partners tended to vary. This livestock movement network illustrated how a small number of farms central to the network could play ..

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University of Melbourne Researchers


Funding Acknowledgements

This study was partially funded by the New Zealand Johne's Disease Research Consortium and stipends were granted by Massey University and New Zealand International Doctoral Research Scholarship. The main author is particularly grateful to Landcorp farming limited for providing us the data for this analysis and Gordon Williams for invaluable help in managing these data and understanding the movement pattern in relation with Landcorp policies and production needs. We are also especially grateful to Carolyn Gates for her insightful comments concerning the analysis and the manuscript.