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Proceedings of the 10th International Colloquium on Paratuberculosis

Proceedings of the 10th International Colloquium on Paratuberculosis

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#55<br />

Birth clusters <str<strong>on</strong>g>of</str<strong>on</strong>g> animals infected with Mycobacterium avium subspecies<br />

paratuberculosis in a New York State dairy herd<br />

Fieke van Genugten, 1,2 Mitchell RM, 1 Stehman, SM, 1 and Schukken YH 1*<br />

1Department <str<strong>on</strong>g>of</str<strong>on</strong>g> Populati<strong>on</strong> Medicine and Diagnostic Sciences, College <str<strong>on</strong>g>of</str<strong>on</strong>g> Veterinary Medicine,<br />

Cornell University, Ithaca, NY, USA; 2 Veterinary Centre “De Overlaet“, Oss, <str<strong>on</strong>g>the</str<strong>on</strong>g> Ne<str<strong>on</strong>g>the</str<strong>on</strong>g>rlands;<br />

* Corresp<strong>on</strong>ding author: Tel: +1-607-255-8202; Fax: +1-607-257-8485; Email:<br />

yschukken@cornell.edu<br />

ABSTRACT<br />

In this l<strong>on</strong>gitudinal study <strong>on</strong> an eight year database <str<strong>on</strong>g>of</str<strong>on</strong>g> a New York dairy farm, we attempted to<br />

evaluate whe<str<strong>on</strong>g>the</str<strong>on</strong>g>r cows who eventually become Map shedders, were more likely born in clusters<br />

<str<strong>on</strong>g>of</str<strong>on</strong>g> shedders. The data set used in this study c<strong>on</strong>tains data <str<strong>on</strong>g>of</str<strong>on</strong>g> 2788 cows from <strong>on</strong>e dairy farm<br />

during an intensive individual animal diagnostic testing period starting in 1995 and lasting until<br />

2002. During this period a Johne’s C<strong>on</strong>trol program was implemented <strong>on</strong> <str<strong>on</strong>g>the</str<strong>on</strong>g> farm. The<br />

SaTScan v 7.01 s<str<strong>on</strong>g>of</str<strong>on</strong>g>tware was used to make temporary scans for <str<strong>on</strong>g>the</str<strong>on</strong>g> birth clusters in this<br />

herd. SaTScan is a s<str<strong>on</strong>g>of</str<strong>on</strong>g>tware that analyzes spatial, temporal and space-time data using <str<strong>on</strong>g>the</str<strong>on</strong>g><br />

spatial, temporal, or space-time scan statistics This program was designed to use windows <str<strong>on</strong>g>of</str<strong>on</strong>g><br />

different size to identify statistically significant clusters <str<strong>on</strong>g>of</str<strong>on</strong>g> events (p

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