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dc.contributor.authorYang, Bingyi
dc.contributor.authorBorgert, Brooke A
dc.contributor.authorAlto, Barry W
dc.contributor.authorBoohene, Carl K
dc.contributor.authorBrew, Joe
dc.contributor.authorDeutsch, Kelly
dc.contributor.authorDeValerio, James T
dc.contributor.authorDinglasan, Rhoel R
dc.contributor.authorDixon, Daniel
dc.contributor.authorFaella, Joseph M
dc.contributor.authorFisher-Grainger, Sandra L
dc.contributor.authorGlass, Gregory E
dc.contributor.authorHayes, Reginald
dc.contributor.authorHoel, David F
dc.contributor.authorHorton, Austin
dc.contributor.authorJanusauskaite, Agne
dc.contributor.authorKellner, Bill
dc.contributor.authorKraemer, Moritz UG
dc.contributor.authorLucas, Keira J
dc.contributor.authorMedina, Johana
dc.contributor.authorMorreale, Rachel
dc.contributor.authorPetrie, William
dc.contributor.authorReiner, Robert C
dc.contributor.authorRiles, Michael T
dc.contributor.authorSalje, Henrik
dc.contributor.authorSmith, David L
dc.contributor.authorSmith, John P
dc.contributor.authorSolis, Amy
dc.contributor.authorStuck, Jason
dc.contributor.authorVasquez, Chalmers
dc.contributor.authorWilliams, Katie F
dc.contributor.authorXue, Rui-De
dc.contributor.authorCummings, Derek AT
dc.date.accessioned2021-11-25T11:49:19Z
dc.date.available2021-11-25T11:49:19Z
dc.date.issued2021-03
dc.identifier.issn1935-2727
dc.identifier.urihttps://www.repository.cam.ac.uk/handle/1810/331126
dc.description.abstractFlorida faces the challenge of repeated introduction and autochthonous transmission of arboviruses transmitted by Aedes aegypti and Aedes albopictus. Empirically-based predictive models of the spatial distribution of these species would aid surveillance and vector control efforts. To predict the occurrence and abundance of these species, we fit a mixed-effects zero-inflated negative binomial regression to a mosquito surveillance dataset with records from more than 200,000 trap days, representative of 53% of the land area and ranging from 2004 to 2018 in Florida. We found an asymmetrical competitive interaction between adult populations of Aedes aegypti and Aedes albopictus for the sampled sites. Wind speed was negatively associated with the occurrence and abundance of both vectors. Our model predictions show high accuracy (72.9% to 94.5%) in validation tests leaving out a random 10% subset of sites and data since 2017, suggesting a potential for predicting the distribution of the two Aedes vectors.
dc.format.mediumElectronic-eCollection
dc.languageeng
dc.publisherPublic Library of Science (PLoS)
dc.rightsCC0 No rights reserved
dc.subjectAnimals
dc.subjectAedes
dc.subjectCompetitive Behavior
dc.subjectEcosystem
dc.subjectClimate
dc.subjectPopulation Density
dc.subjectSpecies Specificity
dc.subjectModels, Biological
dc.subjectFlorida
dc.subjectFemale
dc.subjectMale
dc.subjectAnimal Distribution
dc.subjectMosquito Vectors
dc.titleModelling distributions of Aedes aegypti and Aedes albopictus using climate, host density and interspecies competition.
dc.typeArticle
prism.issueIdentifier3
prism.publicationDate2021
prism.publicationNamePLoS Negl Trop Dis
prism.startingPagee0009063
prism.volume15
dc.identifier.doi10.17863/CAM.78573
dc.identifier.doi10.17863/CAM.78573
dcterms.dateAccepted2020-12-09
rioxxterms.versionofrecord10.1371/journal.pntd.0009063
rioxxterms.versionVoR
rioxxterms.licenseref.urihttp://www.rioxx.net/licenses/all-rights-reserved
rioxxterms.licenseref.startdate2021-03-25
dc.contributor.orcidBorgert, Brooke A [0000-0002-1429-7365]
dc.contributor.orcidSalje, Henrik [0000-0003-3626-4254]
dc.contributor.orcidCummings, Derek AT [0000-0002-9437-1907]
dc.identifier.eissn1935-2735
rioxxterms.typeJournal Article/Review
cam.issuedOnline2021-03-25


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