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Article: Modelling distributions of Aedes aegypti and Aedes albopictus using climate, host density and interspecies competition

TitleModelling distributions of Aedes aegypti and Aedes albopictus using climate, host density and interspecies competition
Authors
Issue Date2021
Citation
PLoS Neglected Tropical Diseases, 2021, v. 15, n. 3, article no. e0009063 How to Cite?
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 mixedeffects 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.
Persistent Identifierhttp://hdl.handle.net/10722/318921
ISSN
2011 Impact Factor: 4.716
2023 SCImago Journal Rankings: 1.258
PubMed Central ID
ISI Accession Number ID

 

DC FieldValueLanguage
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 U.G.-
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 A.T.-
dc.date.accessioned2022-10-11T12:24:52Z-
dc.date.available2022-10-11T12:24:52Z-
dc.date.issued2021-
dc.identifier.citationPLoS Neglected Tropical Diseases, 2021, v. 15, n. 3, article no. e0009063-
dc.identifier.issn1935-2727-
dc.identifier.urihttp://hdl.handle.net/10722/318921-
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 mixedeffects 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.languageeng-
dc.relation.ispartofPLoS Neglected Tropical Diseases-
dc.rightsThis work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.-
dc.titleModelling distributions of Aedes aegypti and Aedes albopictus using climate, host density and interspecies competition-
dc.typeArticle-
dc.description.naturepublished_or_final_version-
dc.identifier.doi10.1371/journal.pntd.0009063-
dc.identifier.pmid33764975-
dc.identifier.pmcidPMC8051819-
dc.identifier.scopuseid_2-s2.0-85104374576-
dc.identifier.volume15-
dc.identifier.issue3-
dc.identifier.spagearticle no. e0009063-
dc.identifier.epagearticle no. e0009063-
dc.identifier.eissn1935-2735-
dc.identifier.isiWOS:000634794600008-

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