Estimating the kernel parameters of premises-based stochastic models of farmed animal infectious disease epidemics using limited, incomplete, or ongoing data

Theoretical Population Biology

Volumn 78, Issue 1, 2010, Pages 46-53

  Rorres, Chris ^a   Pelletier, Sky T K ^a   Keeling, Matt J ^b   Smith, Gary ^a  

^a UNIVERSITY OF PENNSYLVANIA   (United States)

^b UNIVERSITY OF WARWICK   (United Kingdom)

Author keywords

Animal diseases; Epidemics; Estimators; Mathematical models; Maximum likelihood; Parameter estimation

Indexed keywords

ANIMAL; ANIMAL HUSBANDRY; DATA ACQUISITION; DISEASE CONTROL; EPIDEMIC; INFECTIOUS DISEASE; MAXIMUM LIKELIHOOD ANALYSIS; NUMERICAL MODEL; PARAMETERIZATION; PATHOGEN; STOCHASTICITY;

ANIMAL; ANIMAL DISEASE; ARTICLE; BIOLOGY; COMMUNICABLE DISEASE; DOMESTIC ANIMAL; EPIDEMIC; GEOGRAPHY; INFORMATION PROCESSING; PROBABILITY; STATISTICAL MODEL; STATISTICS; THEORETICAL MODEL; UNITED STATES;

ANIMALS; ANIMALS, DOMESTIC; COMMUNICABLE DISEASES; COMPUTATIONAL BIOLOGY; DATA COLLECTION; DISEASE OUTBREAKS; GEOGRAPHY; LIKELIHOOD FUNCTIONS; MODELS, STATISTICAL; MODELS, THEORETICAL; PROBABILITY; STOCHASTIC PROCESSES; UNITED STATES;

ANIMALIA;

EID: 77953960708     PISSN: 00405809     EISSN: 10960325     Source Type: Journal    
DOI: 10.1016/j.tpb.2010.04.003     Document Type: Article

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