Identifying highly connected counties compensates for resource limitations when evaluating national spread of an invasive pathogen

PLoS ONE

Volumn 7, Issue 6, 2012, Pages

  Sutrave, Sweta ^a,b   Scoglio, Caterina ^b   Isard, Scott A ^c   Hutchinson, J M Shawn ^a   Garrett, Karen A ^a  

^a KANSAS STATE UNIVERSITY   (United States)

^b Kansas State University   (United States)

^c PENNSYLVANIA STATE UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ARTICLE; COMPUTER NETWORK; CONTROLLED STUDY; EPIDEMIC; ERROR; INFECTION RATE; INVASIVE SPECIES; NONHUMAN; PHAKOPSORA PACHYRHIZI; PLANT DISEASE; PREDICTION; PROBABILITY; RANDOM SAMPLE; RESOURCE MANAGEMENT; SOYBEAN; SOYBEAN RUST; UNITED STATES; VELOCITY; WIND; BASIDIOMYCETES; COMPUTER SIMULATION; DEMOGRAPHY; INTRODUCED SPECIES; MICROBIOLOGY; THEORETICAL MODEL;

BASIDIOMYCOTA; COMPUTER SIMULATION; DEMOGRAPHY; EPIDEMICS; INTRODUCED SPECIES; MODELS, THEORETICAL; PLANT DISEASES; SOYBEANS; UNITED STATES;

EID: 84862203255     PISSN: None     EISSN: 19326203     Source Type: Journal    
DOI: 10.1371/journal.pone.0037793     Document Type: Article

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