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Salmonella Dublin (S. Dublin) is a costly infection for dairy cows, potentially lethal to humans. Surveillance is based on bulk tank milk (BTM) antibody measurements, taken each quarter of the year. Herds are classified as Status 1- likely free of S. Dublin, or Status 2 – likely infected with S. Dublin, based on present /recent characteristics, but not actual S. Dublin detection. We develop a predictive model based on characteristics from last quarter, using on registry data for 2001-2007 for 9387 herds in Denmark . Only 2004-2007 data modeled due to data contamination.
|Number of pages||1|
|Publication status||Published - 2012|
|Event||24th Nordic Conference in Mathematical Statistics - Umeå University, Umeå, Sweden|
Duration: 10 Jun 2012 → 14 Jun 2012
|Conference||24th Nordic Conference in Mathematical Statistics|
|Period||10/06/2012 → 14/06/2012|