Bayesian Analysis for Inference of an Emerging Epidemic: Citrus Canker in Urban Landscapes

PLoS Computational Biology

Volumn 10, Issue 4, 2014, Pages

  Neri, Franco M ^a   Cook, Alex R ^b,c,d   Gibson, Gavin J ^e   Gottwald, Tim R ^f   Gilligan, Christopher A ^a  

^a UNIVERSITY OF CAMBRIDGE   (United Kingdom)

^b NATIONAL UNIVERSITY OF SINGAPORE   (Singapore)

^c DUKE NUS MEDICAL SCHOOL   (Singapore)

^d TAN TOCK SENG HOSPITAL   (Singapore)

^e HERIOT WATT UNIVERSITY   (United Kingdom)

^f U S HORTICULTURAL RESEARCH LABORATORY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

DISEASES; EPIDEMIOLOGY; MARKOV PROCESSES; PARAMETER ESTIMATION; PLANTS (BOTANY); WEATHER FORECASTING;

BAYESIAN ANALYSIS; CITRUS CANKER; EMERGING DISEASE; INFECTIOUS DISEASE; PLANT DISEASE; POLICY MAKERS; RAPID RESPONSE; SPATIALLY RESOLVED; TEMPORALLY RESOLVED; URBAN LANDSCAPE;

MONTE CARLO METHODS;

ARTICLE; BAYES THEOREM; CANKER; CITRUS; INFECTION RATE; LANDSCAPE ECOLOGY; MONTE CARLO METHOD; NONHUMAN; PREDICTION; SEASONAL VARIATION; SPATIOTEMPORAL ANALYSIS; STOCHASTIC MODEL; URBAN AREA; EPIDEMIC; MICROBIOLOGY; PLANT DISEASE; PROBABILITY; WEATHER;

BAYES THEOREM; CITRUS; EPIDEMICS; MARKOV CHAINS; MONTE CARLO METHOD; PLANT DISEASES; WEATHER;

EID: 84901297529     PISSN: 1553734X     EISSN: 15537358     Source Type: Journal    
DOI: 10.1371/journal.pcbi.1003587     Document Type: Article

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