scholarly journals Spatio-Temporal Distribution of Vector-Host Contact (VHC) Ratios and Ecological Niche Modeling of the West Nile Virus Mosquito Vector, Culex quinquefasciatus, in the City of New Orleans, LA, USA

2017 ◽  
Vol 14 (8) ◽  
pp. 892 ◽  
Author(s):  
Mohamed Sallam ◽  
Sarah Michaels ◽  
Claudia Riegel ◽  
Roberto Pereira ◽  
Wayne Zipperer ◽  
...  
Keyword(s):  
West Nile Virus ◽  
New Orleans ◽  
Ecological Niche ◽  
Ecological Niche Modeling ◽  
Temporal Distribution ◽  
Niche Modeling ◽  
Mosquito Vector ◽  
The West ◽  
Spatio Temporal ◽  
The City

scholarly journals Ecological Niche Modeling of West Nile Virus Vector in Northwest of Iran

2019 ◽  
Vol 34 (6) ◽  
pp. 514-520
Author(s):  
Davoud Adham ◽  
Eslam Moradi-Asl ◽  
Hassan Vatandoost ◽  
Abedin Saghafipour
Keyword(s):  
West Nile Virus ◽  
Ecological Niche ◽  
Ecological Niche Modeling ◽  
Niche Modeling ◽  
Virus Vector ◽  
West Nile ◽  
Northwest Of Iran

scholarly journals Ecological Niche Modeling of Potential West Nile Virus Vector Mosquito Species in Iowa

2010 ◽  
Vol 10 (110) ◽  
pp. 1-17 ◽  
Author(s):  
Scott R. Larson ◽  
John P. DeGroote ◽  
Lyric C. Bartholomay ◽  
Ramanathan Sugumaran
Keyword(s):  
West Nile Virus ◽  
Ecological Niche ◽  
Ecological Niche Modeling ◽  
Mosquito Species ◽  
Niche Modeling ◽  
Virus Vector ◽  
West Nile ◽  
Vector Mosquito

scholarly journals Ensemble ecological niche modeling of West Nile virus probability in Florida

PLoS ONE ◽  
2021 ◽  
Vol 16 (10) ◽  
pp. e0256868
Author(s):  
Sean P. Beeman ◽  
Andrea M. Morrison ◽  
Thomas R. Unnasch ◽  
Robert S. Unnasch
Keyword(s):  
West Nile Virus ◽  
Random Forest ◽  
Maximum Entropy ◽  
Ecological Niche ◽  
Ecological Niche Modeling ◽  
Regression Tree ◽  
Niche Modeling ◽  
West Nile ◽  
Boosted Regression Tree ◽  
Forest Model

Ecological Niche Modeling is a process by which spatiotemporal, climatic, and environmental data are analyzed to predict the distribution of an organism. Using this process, an ensemble ecological niche model for West Nile virus habitat prediction in the state of Florida was developed. This model was created through the weighted averaging of three separate machine learning models—boosted regression tree, random forest, and maximum entropy—developed for this study using sentinel chicken surveillance and remote sensing data. Variable importance differed among the models. The highest variable permutation value included mean dewpoint temperature for the boosted regression tree model, mean temperature for the random forest model, and wetlands focal statistics for the maximum entropy mode. Model validation resulted in area under the receiver curve predictive values ranging from good [0.8728 (95% CI 0.8422–0.8986)] for the maximum entropy model to excellent [0.9996 (95% CI 0.9988–1.0000)] for random forest model, with the ensemble model predictive value also in the excellent range [0.9939 (95% CI 0.9800–0.9979]. This model should allow mosquito control districts to optimize West Nile virus surveillance, improving detection and allowing for a faster, targeted response to reduce West Nile virus transmission potential.

scholarly journals Potential Distribution of Chagas Disease Vectors (Hemiptera, Reduviidae, Triatominae) in Colombia, Based on Ecological Niche Modeling

2016 ◽  
Vol 2016 ◽  
pp. 1-10 ◽  
Author(s):  
Gabriel Parra-Henao ◽  
Laura C. Suárez-Escudero ◽  
Sebastián González-Caro
Keyword(s):  
Chagas Disease ◽  
Sierra Nevada ◽  
Geographic Distribution ◽  
Ecological Niche ◽  
Ecological Niche Modeling ◽  
Climatic Factors ◽  
Niche Modeling ◽  
Triatomine Species ◽  
Local Risk ◽  
And Control

Ecological niche modeling of Triatominae bugs allow us to establish the local risk of transmission of the parasiteTrypanosoma cruzi,which causes Chagas disease.This information could help to guide health authority recommendations on infection monitoring, prevention, and control. In this study, we estimated the geographic distribution of triatomine species in Colombia and identified the relationship between landscape structure and climatic factors influencing their occurrence. A total of 2451 records of 4 triatomine species (Panstrongylus geniculatus,Rhodnius pallescens,R. prolixus, andTriatoma maculata) were analyzed.The variables that provided more information to explain the ecologic niche of these vectors were related to precipitation, altitude, and temperature. We found that the species with the broadest potential geographic distribution wereP. geniculatus,R. pallescens, andR. prolixus. In general, the models predicted the highest occurrence probability of these vectors in the eastern slope of the Eastern Cordillera, the southern region of the Magdalena valley, and the Sierra Nevada of Santa Marta.

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