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

Autor: David L. Smith, John P. Smith, Joseph M. Faella, Rui-De Xue, Carl K. Boohene, Rachel Morreale, Barry W. Alto, Derek A. T. Cummings, Brooke A. Borgert, Henrik Salje, Katie F. Williams, Keira J. Lucas, Robert Reiner, Bill Kellner, Sandra L. Fisher-Grainger, James T. DeValerio, Agne Janusauskaite, Gregory E. Glass, Bingyi Yang, Rhoel R. Dinglasan, Joe Brew, David F. Hoel, Daniel Dixon, Chalmers Vasquez, Reginald Hayes, William Petrie, Johana Medina, Kelly Deutsch, Jason Stuck, Amy Solis, Moritz U. G. Kraemer, Michael T. Riles, Austin Horton
Přispěvatelé: Borgert, Brooke A [0000-0002-1429-7365], Cummings, Derek AT [0000-0002-9437-1907], Apollo - University of Cambridge Repository
Rok vydání: 2020
Předmět:
0301 basic medicine
Male
Atmospheric Science
Climate
RC955-962
Binomials
Wind
Disease Vectors
Population density
Mosquitoes
Polynomials
Geographical locations
0302 clinical medicine
Medical Conditions
Abundance (ecology)
Aedes
Arctic medicine. Tropical medicine
Medicine and Health Sciences
Eukaryota
Insects
Infectious Diseases
Physical Sciences
Viruses
Florida
Female
Public aspects of medicine
RA1-1270
Research Article
Competitive Behavior
Aedes albopictus
Arthropoda
030231 tropical medicine
education
Zoology
Aedes aegypti
Mosquito Vectors
Biology
Aedes Aegypti
Spatial distribution
Models
Biological
03 medical and health sciences
Meteorology
Species Specificity
Population Metrics
Animals
Ecosystem
Population Density
Population Biology
Host (biology)
Public Health
Environmental and Occupational Health
Organisms
Biology and Life Sciences
Humidity
Interspecific competition
biology.organism_classification
Invertebrates
United States
Insect Vectors
Species Interactions
030104 developmental biology
Algebra
North America
Earth Sciences
People and places
Animal Distribution
Entomology
Mathematics
Arboviruses
Zdroj: PLoS Neglected Tropical Diseases
PLoS Neglected Tropical Diseases, Vol 15, Iss 3, p e0009063 (2021)
ISSN: 1935-2735
Popis: 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.
Author summary Aedes aegypti and Aedes albopictus are two prime mosquito vectors that transmit emerging arboviral pathogens (e.g. dengue virus, Zika virus and chikungunya virus), which cause substantial disease burden in humans. This study attempts to improve previous studies to map the distribution of Ae. aegypti and Ae. albopictus with greater validation and provide a finer resolution of current and future projections of mosquito populations. We found evidence of an asymmetrical competitive interaction between Aedes vectors where Aedes aegypti is suppressed by Aedes albopictus. In addition to the role of species interactions, abiotic factors, including meteorological factors and human population density, are important predictors of the distribution of these two Aedes mosquito species. Our models demonstrate the potential to predict the occurrence and abundance of the two Aedes vectors, which can enhance domestic mosquito control efforts.
Databáze: OpenAIRE
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