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  6. The risk and control of Salmonella outbreaks in calf-raising operations: a mathematical modeling approach
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The risk and control of Salmonella outbreaks in calf-raising operations: a mathematical modeling approach

Source Publication
Veterinary Research
Date Issued
November 1, 2008
Author(s)
Lanzas, Cristina  
Warnick, L D
Ivanek, R
Ayscue, P
Nydam, D V
Grohn, Y T
Permanent URI
https://trace.tennessee.edu/handle/20.500.14382/16459
Abstract

Salmonellosis in calves has economic and welfare implications, and serves as a potential source of human infections. Our objectives were to assess the risk of Salmonella spread following its introduction into a herd of pre-weaned calves and to evaluate the efficacy of control strategies to prevent and control outbreaks. To meet these objectives, we developed a model of Salmonella transmission within a pre-weaned group of calves based on a well documented outbreak of salmonellosis in a calf-raising operation and other literature. Intervention scenarios were evaluated in both deterministic and stochastic versions of the model. While the basic reproduction number (R0) was estimated to be 2.4, simulation analysis showed that more than 60% of the invasions failed after the introduction of a single index case. With repeated introduction of index cases, the probability of Salmonella spread was close to 1, and the tested control strategies were insufficient to prevent transmission within the group. The most effective strategies to control ongoing outbreaks were to completely close the rearing operation to incoming calves, to increase the proportion of admitted calves that were immunized (>75%), and to assign personnel and equipment to groups of calves.

Disciplines
Animal Diseases
Disease Modeling
Veterinary Preventive Medicine, Epidemiology, and Public Health
File(s)
Thumbnail Image
Name

0-Lanzas_VetRes39.pdf

Size

227.5 KB

Format

Adobe PDF

Checksum (MD5)

0493580185a9a3079c1f53517f5d75e1

Thumbnail Image
Name

Lanzas_VetRes39.pdf

Size

227.5 KB

Format

Adobe PDF

Checksum (MD5)

0493580185a9a3079c1f53517f5d75e1


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