Using models to provide rapid programme support for California's efforts to suppress Huanglongbing disease of citrus

Philosophical Transactions of the Royal Society B: Biological Sciences

Volumn 374, Issue 1776, 2019, Pages

  McRoberts, Neil ^a   Figuera, Sara Garcia ^a   Olkowski, Sandra ^a   McGuire, Brianna ^a   Luo, Weiqi ^b,c   Posny, Drew ^b,c   Gottwald, Tim ^b  

^a UNIVERSITY OF CALIFORNIA   (United States)

^b U S HORTICULTURAL RESEARCH LABORATORY   (United States)

^c NORTH CAROLINA STATE UNIVERSITY   (United States)

Author keywords

Epidemiology; Huanglongbing; Invasive species; Modelling; Regulatory response

Indexed keywords

BACTERIAL DISEASE; DECISION MAKING; DISEASE CONTROL; DISEASE PREVALENCE; EPIDEMIOLOGY; INFECTIOUS DISEASE; INVASIVE SPECIES; NUMERICAL MODEL; RESOURCE ALLOCATION; UNCERTAINTY ANALYSIS;

CALIFORNIA; UNITED STATES;

ANIMALIA; CITRUS;

EID: 85065429419     PISSN: 09628436     EISSN: 14712970     Source Type: Journal    
DOI: 10.1098/rstb.2018.0281     Document Type: Review

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