Modeling and real-time prediction of classical swine fever epidemics

Biometrics

Volumn 58, Issue 1, 2002, Pages 178-184

  Meester, R ^a   Koning, J ^a   Jong, M C M ^b   Diekmann, O ^a  

^a UTRECHT UNIVERSITY   (Netherlands)

^b WAGENINGEN UNIVERSITY   (Netherlands)

Author keywords

Branching process; Classical swine fever; EM algorithm; Maximum likelihood; Modeling of epidemics; Prediction of epidemics

Indexed keywords

DISEASE CONTROL; MAXIMUM LIKELIHOOD;

BRANCHING PROCESS; CLASSICAL SWINE FEVER; EM ALGORITHMS; INFECTIOUS DISEASE; MA XIMUM LIKELIHOODS; MAXIMUM-LIKELIHOOD; MODELING OF EPIDEMIC; MODELLING TIME; PREDICTION OF EPIDEMIC; REAL-TIME PREDICTION;

FORECASTING;

DISEASE SPREAD; EPIDEMIOLOGY; MODELING;

ARTICLE; DISEASE CONTROL; EPIDEMIC; MATHEMATICAL MODEL; NETHERLANDS; NONHUMAN; PREDICTION; STATISTICAL MODEL; SWINE DISEASE;

SUS SCROFA;

EID: 0036188787     PISSN: 0006341X     EISSN: None     Source Type: Journal    
DOI: 10.1111/j.0006-341X.2002.00178.x     Document Type: Article

References (8)

1. On assessing the progress of epidemics
2. Mathematical modelling in veterinary epidemiology: Why model building is important
3. Transmission of classical swine fever virus within herds during the 1997-1998 epidemic in The Netherlands
4. Quantification of the transmission of classical swine fever virus between herds during the 1997-1998 epidemic in the Netherlands