Applying multi-scale occupancy models to infer host and site occupancy of an emerging viral fish pathogen in the Great Lakes

Journal of Great Lakes Research

Volumn 41, Issue 2, 2015, Pages 520-529

  Cornwell, Emily R ^a   Anderson, Gregory B ^b,d   Coleman, Destiny ^a   Getchell, Rodman G ^a   Groocock, Geoffrey H ^a   Warg, Janet V ^c   Cruz, Angela M ^c   Casey, James W ^a   Bain, Mark B ^b   Bowser, Paul R ^a  

^a Cornell University ^*  (United States)

^b Department of Obstetrics Gynecology   (United States)

^c National Veterinary Services Laboratories   (United States)

^d VIRGINIA POLYTECHNIC INSTITUTE AND STATE UNIVERSITY   (United States)

Author keywords

Multi scale occupancy model; QRT PCR; Reversible Jump Markov chain Monte Carlo; Viral hemorrhagic septicemia virus; Viral surveillance; Virus isolation

Indexed keywords

DIAGNOSIS; FISH; FISHERIES; LOGISTIC REGRESSION; MARKOV CHAINS; PATHOGENS; VIRUSES;

DETECTION PROBABILITIES; DISEASE MANAGEMENT; MULTI-SCALE MODELING; PATHOGEN DETECTION; Q-RT-PCR; REVERSIBLE JUMP MARKOV CHAIN MONTE CARLO; VIRAL HEMORRHAGIC SEPTICEMIA VIRUS; WILDLIFE POPULATIONS;

LAKES;

DISEASE CONTROL; ECOLOGICAL MODELING; FISH; HOST-PATHOGEN INTERACTION; MOLECULAR ANALYSIS; MONTE CARLO ANALYSIS; POLYMERASE CHAIN REACTION; POPULATION STRUCTURE; RISK FACTOR; SITE SELECTION; VIRAL DISEASE; WILD POPULATION;

GREAT LAKES [NORTH AMERICA];

VIRAL HEMORRHAGIC SEPTICEMIA VIRUS;

EID: 84930249835     PISSN: 03801330     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jglr.2015.01.002     Document Type: Article

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