Evaluation Of Decision Options For Industry Wide Control Of Salmonella In Dairy cattle
Publikation: Konferencebidrag › Konferenceabstrakt til konference › Forskning
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Evaluation Of Decision Options For Industry Wide Control Of Salmonella In Dairy cattle. / Jordan, David; Nielsen, Liza Rosenbaum; Warnick, Lorin Dean.
2009.Publikation: Konferencebidrag › Konferenceabstrakt til konference › Forskning
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TY - ABST
T1 - Evaluation Of Decision Options For Industry Wide Control Of Salmonella In Dairy cattle
AU - Jordan, David
AU - Nielsen, Liza Rosenbaum
AU - Warnick, Lorin Dean
PY - 2009
Y1 - 2009
N2 - Modeling the transmission of a pathogen between herds provides useful insight into how prevention and surveillance programs can be organised. We aimed to devise a technique for simulating the transfer of Salmonella (S.) Dublin between Danish dairy herds based on trading patterns and infection rates extracted from data archives. The framework for the model was a virtual hierarchy of objects residing in computer memory. The model was used to assess strategies for reducing the prevalence over a ten year period. Each object in the hierarchy was programmed to mimic a level of organization of the Danish dairy industry using data fields and logic mimicking the ecology, surveillance and control of S. Dublin. Superimposed on this was a system for simulating movement of cattle between herds and between regions accounting for the infection status of both the source and destination herds. Predictions from simulations showed that programs that enhance herd-level biosecurity (prevention of new outbreaks) and quickly resolve infections once they are detected are attractive additions to the current approach that has already resulted in substantial progress.
AB - Modeling the transmission of a pathogen between herds provides useful insight into how prevention and surveillance programs can be organised. We aimed to devise a technique for simulating the transfer of Salmonella (S.) Dublin between Danish dairy herds based on trading patterns and infection rates extracted from data archives. The framework for the model was a virtual hierarchy of objects residing in computer memory. The model was used to assess strategies for reducing the prevalence over a ten year period. Each object in the hierarchy was programmed to mimic a level of organization of the Danish dairy industry using data fields and logic mimicking the ecology, surveillance and control of S. Dublin. Superimposed on this was a system for simulating movement of cattle between herds and between regions accounting for the infection status of both the source and destination herds. Predictions from simulations showed that programs that enhance herd-level biosecurity (prevention of new outbreaks) and quickly resolve infections once they are detected are attractive additions to the current approach that has already resulted in substantial progress.
KW - Former LIFE faculty
KW - Veterinær epidemiologi
KW - modelling
KW - Salmonella Dublin
M3 - Conference abstract for conference
ER -
ID: 37742527