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dc.contributor.authorAtwill, Edward
dc.contributor.authorIsabel, Lynne A.
dc.contributor.authorMcCowan, Brenda
dc.contributor.authorVanderWaal, Kimberly L.
dc.date.accessioned2014-07-09T13:10:05Z
dc.date.available2014-07-09T13:10:05Z
dc.date.issued2013
dc.identifier.citationJournal of Animal Ecology 2013en_US
dc.identifier.urihttp://hdl.handle.net/11295/72381
dc.description.abstractAlthough network analysis has drawn considerable attention as a promising tool for disease ecology, empirical research has been hindered by limitations in detecting the occurrence of pathogen transmission (who transmitted to whom) within social networks. 2. Using a novel approach, we utilize the genetics of a diverse microbe, Escherichia coli, to infer where direct or indirect transmission has occurred and use these data to construct transmission networks for a wild giraffe population (Giraffe camelopardalisi. Individuals were considered to be a part of the same transmission chain and were interlinked in the transmission network if they shared genetic subtypes of E. coli. 3. By using microbial genetics to quantify who transmits to whom independently from the behavioural data on who is in contact with whom, we were able to directly investigate how the structure of contact networks influences the structure of the transmission network. To distinguish between the effects of social and environmental contact on transmission dynamics, the transmission network was compared with two separate contact networks defined from the behavioural data: a social network based on association patterns, and a spatial network based on patterns of home-range overlap among individuals. 4. We found that links in the transmission network were more likely to occur between individuals that were strongly linked in the social network. Furthermore, individuals that had more numerous connections or that occupied 'bottleneck' positions in the social network tended to occupy similar positions in the transmission network. No similar correlations were observed between the spatial and transmission networks. This indicates that an individual's social network position is predictive of transmission network position, which has implications for identifying individuals that function as super-spreaders or transmission bottlenecks in the population.en_US
dc.description.sponsorshipUniversity of Nairobien_US
dc.language.isoenen_US
dc.publisherBritish Ecological Societyen_US
dc.relation.ispartofseriesJournal of Animal Ecology 1365-2656;
dc.subjectwildlife diseaseen_US
dc.subjectspace-use patternsen_US
dc.subjectSocial Structureen_US
dc.subjectinfection dynamicsen_US
dc.subjectepidemiologyen_US
dc.subjectdisease ecologyen_US
dc.subjectbacterial genotypingen_US
dc.titleLinking social and pathogen transmission networks using microbial genetics in giraffe (Giraffa cameJopardalis)en_US
dc.typeArticleen_US
dc.type.materialenen_US


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