A graph-based evidence synthesis approach to detecting outbreak clusters: An application to dog rabies

PLoS Computational Biology

Volumn 14, Issue 12, 2018, Pages

  Cori, Anne ^a   Nouvellet, Pierre ^a,b   Garske, Tini ^a   Bourhy, Hervé ^c   Nakouné, Emmanuel ^d   Jombart, Thibaut ^a  

^a IMPERIAL COLLEGE LONDON   (United Kingdom)

^b UNIVERSITY OF SUSSEX   (United Kingdom)

^c INSTITUT PASTEUR   (France)

^d Institut Pasteur de Bangui   (South Africa)

Author keywords

[No Author keywords available]

Indexed keywords

CELL PROLIFERATION; DISEASE CONTROL; GRAPHIC METHODS;

CONTROL MEASURES; DATA STREAM; GENETIC DATA; GRAPH-BASED; INFECTIOUS DISEASE; INFECTIOUS DISEASE OUTBREAKS; MUTATION RATES; SPATIAL DATA; SPATIAL KERNELS; TEMPORAL DATA;

DISEASES;

AFRICA; ARTICLE; CONTROLLED STUDY; DATA ANALYSIS; DATA SYNTHESIS; DISEASE COURSE; DISEASE SURVEILLANCE; DISEASE TRANSMISSION; DOG; EPIDEMIC; GEOGRAPHIC DISTRIBUTION; HUMAN; INFORMATION PROCESSING; MUTATION RATE; NONHUMAN; RABIES; SIMULATION; SPATIAL ANALYSIS; STATISTICAL ANALYSIS; TEMPORAL ANALYSIS; WHOLE GENOME SEQUENCING; ANIMAL; CLASSIFICATION; CLUSTER ANALYSIS; COMMUNICABLE DISEASE; TIME; VETERINARY MEDICINE;

ANIMALS; CLUSTER ANALYSIS; COMMUNICABLE DISEASES; DISEASE OUTBREAKS; DOGS; RABIES; TIME;

EID: 85059253224     PISSN: 1553734X     EISSN: 15537358     Source Type: Journal    
DOI: 10.1371/journal.pcbi.1006554     Document Type: Article

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