Using biotic interaction networks for prediction in biodiversity and emerging diseases

PLoS ONE

Volumn 4, Issue 5, 2009, Pages

  Stephens, Christopher R ^a,b   Heau, Joaquín Giménez ^a   González, Camila ^a   Ibarra Cerdeña, Carlos N ^a   Sánchez Cordero, Victor ^a   González Salazar, Constantino ^a  

^a UNIVERSIDAD NACIONAL AUTÓNOMA DE MÉXICO   (Mexico)

^b INSTITUTO DE CIENCIAS NUCLEARES   (Mexico)

Author keywords

[No Author keywords available]

Indexed keywords

ARTICLE; BIODIVERSITY; DATA MINING; DISEASE CARRIER; ECOLOGY; GEOGRAPHIC DISTRIBUTION; LEISHMANIASIS; METHODOLOGY; NONHUMAN; ORGANISMAL INTERACTION; PREDICTION; SPECIES DISTRIBUTION; STATISTICAL MODEL; ANIMAL; ECOSYSTEM; GEOGRAPHY; LEISHMANIA; METABOLISM; MEXICO;

ANIMALS; BIODIVERSITY; DISEASE RESERVOIRS; DISEASE VECTORS; ECOSYSTEM; GEOGRAPHY; LEISHMANIA; LEISHMANIASIS; MEXICO;

EID: 66449113067     PISSN: None     EISSN: 19326203     Source Type: Journal    
DOI: 10.1371/journal.pone.0005725     Document Type: Article

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