Sampling for disease absence—deriving informed monitoring from epidemic traits

Journal of Theoretical Biology

Volumn 461, Issue , 2019, Pages 8-16

  Bourhis, Yoann ^a   Gottwald, Timothy R ^b   Lopez Ruiz, Francisco J ^c   Patarapuwadol, Sujin ^d   van den Bosch, Frank ^a  

^a ROTHAMSTED RESEARCH   (United Kingdom)

^b U S HORTICULTURAL RESEARCH LABORATORY   (United States)

^c CURTIN UNIVERSITY   (Australia)

^d KASETSART UNIVERSITY   (Thailand)

Author keywords

Bayes Rule; Disease absence; Early detection; Risk assessment; Sampling theory

Indexed keywords

ACCURACY ASSESSMENT; BAYESIAN ANALYSIS; DISEASE INCIDENCE; EPIDEMIC; INFECTIOUS DISEASE; PROBABILITY DENSITY FUNCTION; RISK ASSESSMENT; SAMPLING;

ARTICLE; BACTERIAL BLIGHT; BACTERIAL VIRULENCE; BAYES THEOREM; CANKER; CONTROLLED STUDY; EPIDEMIC; EPIDEMIOLOGICAL MONITORING; FUNGAL VIRULENCE; GRAPE; GROWTH RATE; INCIDENCE; INFECTION RATE; MEASUREMENT ACCURACY; MOULD; NONHUMAN; PRIORITY JOURNAL; PROBABILITY; RICE; XANTHOMONAS CITRI; XANTHOMONAS ORYZAE PV. ORYZAE; ANIMAL; COMMUNICABLE DISEASE; HUMAN; MICROBIOLOGY; PLANT DISEASE; SAMPLE SIZE; STATISTICAL MODEL;

BACTERIA (MICROORGANISMS); BOTRYTIS; CITRUS;

ANIMALS; COMMUNICABLE DISEASES; EPIDEMICS; EPIDEMIOLOGICAL MONITORING; HUMANS; INCIDENCE; MODELS, STATISTICAL; PLANT DISEASES; PROBABILITY; SAMPLE SIZE;

EID: 85055688107     PISSN: 00225193     EISSN: 10958541     Source Type: Journal    
DOI: 10.1016/j.jtbi.2018.10.038     Document Type: Article

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