Compound processes as models for clumped parasite data

Mathematical Biosciences

Volumn 222, Issue 1, 2009, Pages 27-35

  Heinzmann, Dominik ^a   Barbour, A D ^a   Torgerson, Paul R ^a,b  

^a UNIVERSITY OF ZURICH   (Switzerland)

^b Ross University   (Saint Kitts and Nevis)

Author keywords

Clumped infection; Compound processes; Echinococcus; Mixed Poisson; Parasite data

Indexed keywords

CLUMPED INFECTION; COMPOUND PROCESSES; ECHINOCOCCUS; MIXED POISSON; PARASITE DATA;

POISSON EQUATION; SIZE DISTRIBUTION; TUMORS; WOOL;

POISSON DISTRIBUTION;

CYST; INGESTION RATE; NUMERICAL MODEL; PARAMETERIZATION; PARASITE; POISSON RATIO; POWER LAW DISTRIBUTION; SIZE DISTRIBUTION;

ARTICLE; BINOMIAL DISTRIBUTION; COMPOUND PROCESS; ECHINOCOCCOSIS; ECHINOCOCCUS GRANULOSUS; IMMUNE RESPONSE; IMMUNE SYSTEM; INFECTION RATE; INGESTION; MATHEMATICAL MODEL; MAXIMUM LIKELIHOOD METHOD; NONHUMAN; PARASITE TRANSMISSION; POISSON DISTRIBUTION; PREVALENCE; PROBABILITY; SURVIVAL RATE;

AGE FACTORS; ANIMALS; COMPUTER SIMULATION; ECHINOCOCCOSIS; ECHINOCOCCUS GRANULOSUS; MODELS, BIOLOGICAL; POISSON DISTRIBUTION; PREVALENCE; SHEEP; SHEEP DISEASES;

ECHINOCOCCUS; ECHINOCOCCUS GRANULOSUS; OVIS ARIES;

EID: 70350553823     PISSN: 00255564     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.mbs.2009.08.007     Document Type: Article

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