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Volumn 30, Issue 1, 1997, Pages 37-47
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A modelling approach to the quantification of the benefits of a national surveillance programme
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Author keywords
Salmonella dublin; Simulation modelling; Surveillance
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Indexed keywords
ANIMALIA;
BOS TAURUS;
SALMONELLA;
SALMONELLA ENTERICA SUBSP. ENTERICA SEROVAR DUBLIN;
ANIMAL;
ANIMAL DISEASE;
ANIMAL SALMONELLOSIS;
ARTICLE;
BIOLOGICAL MODEL;
CATTLE;
CATTLE DISEASE;
COMPUTER SIMULATION;
DISEASE PREDISPOSITION;
EPIDEMIC;
HEALTH CARE ORGANIZATION;
HEALTH STATUS;
HEALTH SURVEY;
MONTE CARLO METHOD;
NEW ZEALAND;
PATHOPHYSIOLOGY;
PROBABILITY;
TIME;
ANIMALS;
CATTLE;
CATTLE DISEASES;
COMPUTER SIMULATION;
DISEASE OUTBREAKS;
DISEASE SUSCEPTIBILITY;
HEALTH CARE RATIONING;
HEALTH STATUS;
MODELS, BIOLOGICAL;
MONTE CARLO METHOD;
NEW ZEALAND;
POPULATION SURVEILLANCE;
PROBABILITY;
SALMONELLA INFECTIONS, ANIMAL;
TIME FACTORS;
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EID: 0031114684
PISSN: 01675877
EISSN: None
Source Type: Journal
DOI: 10.1016/S0167-5877(96)01083-5 Document Type: Article |
Times cited : (7)
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References (7)
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