Journal article

Sample size considerations for livestock movement network data

Caitlin N Pfeiffer, Simon M Firestone, Angus JD Campbell, John WA Larsen, Mark A Stevenson

Preventive Veterinary Medicine | ELSEVIER SCIENCE BV | Published : 2015

Abstract

The movement of animals between farms contributes to infectious disease spread in production animal populations, and is increasingly investigated with social network analysis methods. Tangible outcomes of this work include the identification of high-risk premises for targeting surveillance or control programs. However, knowledge of the effect of sampling or incomplete network enumeration on these studies is limited. In this study, a simulation algorithm is presented that provides an estimate of required sampling proportions based on predicted network size, density and degree value distribution. The algorithm may be applied a priori to ensure network analyses based on sampled or incomplete da..

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Grants

Awarded by Victorian Life Sciences Computation Initiative (VLSCI), an initiative of the Victorian Government, Australia


Funding Acknowledgements

This research was supported by a Victorian Life Sciences Computation Initiative (VLSCI) grant, number VR0277, on its Peak Computing Facility at the University of Melbourne, an initiative of the Victorian Government, Australia. This work is part of the Local Area Network for Disease Investigations (LANDI) project at the Mackinnon Project, Faculty of Veterinary and Agricultural Sciences, University of Melbourne, funded by the Victorian Cattle Compensation Fund and the Victorian Sheep and Goat Compensation Fund administered by the Victorian Government Department of Economic Development, Jobs, Transport and Resources (DEDJTR).