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

Florida 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 occ...

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Main Authors: Bingyi Yang (Author), Brooke A Borgert (Author), Barry W Alto (Author), Carl K Boohene (Author), Joe Brew (Author), Kelly Deutsch (Author), James T DeValerio (Author), Rhoel R Dinglasan (Author), Daniel Dixon (Author), Joseph M Faella (Author), Sandra L Fisher-Grainger (Author), Gregory E Glass (Author), Reginald Hayes (Author), David F Hoel (Author), Austin Horton (Author), Agne Janusauskaite (Author), Bill Kellner (Author), Moritz U G Kraemer (Author), Keira J Lucas (Author), Johana Medina (Author), Rachel Morreale (Author), William Petrie (Author), Robert C Reiner (Author), Michael T Riles (Author), Henrik Salje (Author), David L Smith (Author), John P Smith (Author), Amy Solis (Author), Jason Stuck (Author), Chalmers Vasquez (Author), Katie F Williams (Author), Rui-De Xue (Author), Derek A T Cummings (Author)
Format: Book
Published: Public Library of Science (PLoS), 2021-03-01T00:00:00Z.
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042 |a dc 
100 1 0 |a Bingyi Yang  |e author 
700 1 0 |a Brooke A Borgert  |e author 
700 1 0 |a Barry W Alto  |e author 
700 1 0 |a Carl K Boohene  |e author 
700 1 0 |a Joe Brew  |e author 
700 1 0 |a Kelly Deutsch  |e author 
700 1 0 |a James T DeValerio  |e author 
700 1 0 |a Rhoel R Dinglasan  |e author 
700 1 0 |a Daniel Dixon  |e author 
700 1 0 |a Joseph M Faella  |e author 
700 1 0 |a Sandra L Fisher-Grainger  |e author 
700 1 0 |a Gregory E Glass  |e author 
700 1 0 |a Reginald Hayes  |e author 
700 1 0 |a David F Hoel  |e author 
700 1 0 |a Austin Horton  |e author 
700 1 0 |a Agne Janusauskaite  |e author 
700 1 0 |a Bill Kellner  |e author 
700 1 0 |a Moritz U G Kraemer  |e author 
700 1 0 |a Keira J Lucas  |e author 
700 1 0 |a Johana Medina  |e author 
700 1 0 |a Rachel Morreale  |e author 
700 1 0 |a William Petrie  |e author 
700 1 0 |a Robert C Reiner  |e author 
700 1 0 |a Michael T Riles  |e author 
700 1 0 |a Henrik Salje  |e author 
700 1 0 |a David L Smith  |e author 
700 1 0 |a John P Smith  |e author 
700 1 0 |a Amy Solis  |e author 
700 1 0 |a Jason Stuck  |e author 
700 1 0 |a Chalmers Vasquez  |e author 
700 1 0 |a Katie F Williams  |e author 
700 1 0 |a Rui-De Xue  |e author 
700 1 0 |a Derek A T Cummings  |e author 
245 0 0 |a Modelling distributions of Aedes aegypti and Aedes albopictus using climate, host density and interspecies competition. 
260 |b Public Library of Science (PLoS),   |c 2021-03-01T00:00:00Z. 
500 |a 1935-2727 
500 |a 1935-2735 
500 |a 10.1371/journal.pntd.0009063 
520 |a Florida 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. 
546 |a EN 
690 |a Arctic medicine. Tropical medicine 
690 |a RC955-962 
690 |a Public aspects of medicine 
690 |a RA1-1270 
655 7 |a article  |2 local 
786 0 |n PLoS Neglected Tropical Diseases, Vol 15, Iss 3, p e0009063 (2021) 
787 0 |n https://doi.org/10.1371/journal.pntd.0009063 
787 0 |n https://doaj.org/toc/1935-2727 
787 0 |n https://doaj.org/toc/1935-2735 
856 4 1 |u https://doaj.org/article/76b16f7962fe44dc938ecce38d1e7857  |z Connect to this object online.