High-Impact Risk Factors for Mycobacterium avium ssp. paratuberculosis in Dairy Herds in Germany

Author:

Krieger Mette1ORCID,Eisenberg Susanne2ORCID,Donat Karsten3ORCID,Campe Amely1ORCID

Affiliation:

1. Department of Biometry, Epidemiology and Information Processing, WHO Collaborating Centre for Research and Training for Health at the Human-Animal-Environment Interface, University of Veterinary Medicine Hannover, 30559 Hanover, Germany

2. Lower Saxonian Animal Diseases Fund, 30169 Hanover, Germany

3. Animal Health Service, Thuringian Animal Diseases Fund, 07745 Jena, Germany

Abstract

In a cross-sectional study, it was identified that three regions in Germany differed with respect to their herd-level prevalence for paratuberculosis in dairy cattle. In the study presented here, the same farms were analyzed to identify those components of biosecurity and farm management with the highest impact on Mycobacterium avium ssp. paratuberculosis (MAP) introduction and establishment in a farm. Hence, the data analyzes included 183, 170 and 104 herds from the study regions north, east and south, respectively. A herd was considered MAP-positive if at least one fecal environmental sample was positive. Twenty-six different possible risk factors from five different components of biosecurity and farm management were analyzed. We show that the average management of calf feeding increased the odds for a MAP-positive farm by 5.22 times (95% confidence interval (CI) = 1.25–21.83). With every 100-cow increase in farm size, the risk for a farm to test MAP-positive increased by 1.94 times (CI = 1.15–3.27), 1.14 times (CI = 1.02–1.27) and 5.53 times (CI = 0.44–68.97) in the north, east and south study regions, respectively. Furthermore, the purchase of cattle with an unknown MAP status increased the risk for a farm testing MAP-positive by 2.86-fold (CI = 1.45–5.67). Our results demonstrate that herd size, unknown MAP status of the purchased cattle and different aspects of calf feeding play an important role in the MAP status of a farm and should be in focus in regions with different MAP between-herd prevalence. Additionally, farm individual risk patterns should be identified during (veterinary) biosecurity consultancy.

Funder

Deutsche Forschungsgemeinschaft

University of Veterinary Medicine Hannover, Foundation

German Animal Diseases Fund

Animal Health Service of Bavaria

Ministry of Energy, Agriculture, Environment, Nature and Digitalization (MELUND) of Schleswig-Holstein

Federal Ministry of Food and Agriculture (BMEL) through the Federal Office for Agriculture and Food

Publisher

MDPI AG

Subject

General Veterinary,Animal Science and Zoology

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