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

Autor: Yang B; Department of Biology, University of Florida, Gainesville, Florida, United States of America.; Emerging Pathogens Institute, University of Florida, Gainesville, Florida, United States of America., Borgert BA; Department of Biology, University of Florida, Gainesville, Florida, United States of America.; Emerging Pathogens Institute, University of Florida, Gainesville, Florida, United States of America., Alto BW; Department of Entomology and Nematology, Florida Medical Entomology Laboratory, University of Florida, Vero Beach, Florida, United States of America., Boohene CK; Polk County Mosquito Control, Parks and Natural Resources Division, Florida, United States of America., Brew J; Institut de Salut Global de Barcelona, Carrer del Rosselló, Barcelona, Catalonia, Spain., Deutsch K; Orange County Government, Florida, Orange County Mosquito Control Division, Florida, United States of America., DeValerio JT; University of Florida Institute of Food and Agricultural Sciences, Bradford County Extension, Starke, Florida, United States of America., Dinglasan RR; Emerging Pathogens Institute, University of Florida, Gainesville, Florida, United States of America.; Department of Infectious Diseases and Immunology, University of Florida, Gainesville, Florida, United States of America., Dixon D; Anastasia Mosquito Control District, St. Augustine, Florida, United States of America., Faella JM; Brevard County Mosquito Control, Florida, United States of America., Fisher-Grainger SL; Hernando County Mosquito Control, Florida, United States of America., Glass GE; Emerging Pathogens Institute, University of Florida, Gainesville, Florida, United States of America.; Department of Geography, University of Florida, Gainesville, Florida, United States of America., Hayes R Jr; Palm Beach County Mosquito Control, Florida, United States of America., Hoel DF; Lee County Mosquito Control District, Florida, United States of America., Horton A; Gulf County Mosquito Control, Florida, United States of America., Janusauskaite A; Pasco County Mosquito Control District, Florida, United States of America., Kellner B; Citrus County Mosquito Control District, Florida, United States of America., Kraemer MUG; Harvard Medical School, Boston, Massachusetts, United States of America.; Computational Epidemiology Lab, Boston Children's Hospital, Boston, Massachusetts, United States of America.; Department of Zoology, University of Oxford, Oxford, United Kingdom., Lucas KJ; Collier Mosquito Control District, Naples, Florida, United States of America., Medina J; Miami-Dade County Mosquito Control, Florida, United States of America., Morreale R; Lee County Mosquito Control District, Florida, United States of America., Petrie W; Miami-Dade County Mosquito Control, Florida, United States of America., Reiner RC Jr; Institute for Health Metrics and Evaluation, University of Washington, Seattle, Washington, United States of America., Riles MT; Beach Mosquito Control District, Florida, United States of America., Salje H; Mathematical Modelling Unit, Institut Pasteur, Paris, France., Smith DL; Institute for Health Metrics and Evaluation, University of Washington, Seattle, Washington, United States of America., Smith JP; Florida State University, Panama City, Florida, United States of America., Solis A; Clarke: Aquatic and Mosquito Control Services and Products, St. Charles, Illinois, United States of America., Stuck J; Pinellas County Mosquito Control, Stormwater and Vegetation Division, Florida, United States of America., Vasquez C; Miami-Dade County Mosquito Control, Florida, United States of America., Williams KF; Manatee County Mosquito Control District, Florida, United States of America., Xue RD; Brevard County Mosquito Control, Florida, United States of America., Cummings DAT; Department of Biology, University of Florida, Gainesville, Florida, United States of America.; Emerging Pathogens Institute, University of Florida, Gainesville, Florida, United States of America.
Jazyk: angličtina
Zdroj: PLoS neglected tropical diseases [PLoS Negl Trop Dis] 2021 Mar 25; Vol. 15 (3), pp. e0009063. Date of Electronic Publication: 2021 Mar 25 (Print Publication: 2021).
DOI: 10.1371/journal.pntd.0009063
Abstrakt: 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.
Competing Interests: The authors declare no competing financial interests.
Databáze: MEDLINE
Externí odkaz:
Nepřihlášeným uživatelům se plný text nezobrazuje