A Bayesian Approach for Modeling Cattle Movements in the United States: Scaling up a Partially Observed Network

PLoS ONE

Volumn 8, Issue 1, 2013, Pages

  Lindström, Tom ^a,b   Grear, Daniel A ^c   Buhnerkempe, Michael ^c   Webb, Colleen T ^c   Miller, Ryan S ^d   Portacci, Katie ^d   Wennergren, Uno ^a  

^a LINKÖPING UNIVERSITY   (Sweden)

^b UNIVERSITY OF SYDNEY   (Australia)

^c Department of Environmental and Radiological Health Sciences   (United States)

^d CENTERS FOR EPIDEMIOLOGY AND ANIMAL HEALTH   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ARTICLE; BAYES THEOREM; CATTLE; CONTROLLED STUDY; FUZZY SYSTEM; HIDDEN MARKOV MODEL; KERNEL METHOD; MONTE CARLO METHOD; NONHUMAN; PARAMETRIC TEST; POPULATION MOVEMENT PATTERN; PREDICTION; SCALE UP; UNITED STATES;

ANIMAL HUSBANDRY; ANIMALS; BAYES THEOREM; CATTLE; CATTLE DISEASES; EPIDEMIOLOGICAL MONITORING; MARKOV CHAINS; TRANSPORTATION; UNITED STATES;

ANIMALIA; BOS;

EID: 84871915220     PISSN: None     EISSN: 19326203     Source Type: Journal    
DOI: 10.1371/journal.pone.0053432     Document Type: Article

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