Literature DB >> 20482343

Identification of environmental covariates of West Nile virus vector mosquito population abundance.

Patricia R Trawinski1, D Scott Mackay.   

Abstract

The rapid spread of West Nile virus (WNv) in North America is a major public health concern. Culex pipiens-restuans is the principle mosquito vector of WNv in the northeastern United States while Aedes vexans is an important bridge vector of the virus in this region. Vector mosquito abundance is directly dependent on physical environmental factors that provide mosquito habitats. The objective of this research is to determine landscape elements that explain the population abundance and distribution of WNv vector mosquitoes using stepwise linear regression. We developed a novel approach for examining a large set of landscape variables based on a land use and land cover classification by selecting variables in stages to minimize multicollinearity. We also investigated the distance at which landscape elements influence abundance of vector populations using buffer distances of 200, 400, and 1000 m. Results show landscape effects have a significant impact on Cx. pipiens-estuans population distribution while the effects of landscape features are less important for prediction of Ae. vexans population distributions. Cx. pipiens-restuans population abundance is positively correlated with human population density, housing unit density, and urban land use and land cover classes and negatively correlated with age of dwellings and amount of forested land.

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Mesh:

Year:  2010        PMID: 20482343     DOI: 10.1089/vbz.2008.0063

Source DB:  PubMed          Journal:  Vector Borne Zoonotic Dis        ISSN: 1530-3667            Impact factor:   2.133


  19 in total

1.  Weather and land cover influences on mosquito populations in Sioux Falls, South Dakota.

Authors:  Ting-Wu Chuang; Michael B Hildreth; Denise L Vanroekel; Michael C Wimberly
Journal:  J Med Entomol       Date:  2011-05       Impact factor: 2.278

2.  Spatiotemporal Bayesian modeling of West Nile virus: Identifying risk of infection in mosquitoes with local-scale predictors.

Authors:  Mark H Myer; John M Johnston
Journal:  Sci Total Environ       Date:  2018-10-02       Impact factor: 7.963

3.  Increased Human Incidence of West Nile Virus Disease near Rice Fields in California but Not in Southern United States.

Authors:  Tony J Kovach; A Marm Kilpatrick
Journal:  Am J Trop Med Hyg       Date:  2018-04-19       Impact factor: 2.345

4.  Spatio-temporal patterns of distribution of West Nile virus vectors in eastern Piedmont Region, Italy.

Authors:  Donal Bisanzio; Mario Giacobini; Luigi Bertolotti; Andrea Mosca; Luca Balbo; Uriel Kitron; Gonzalo M Vazquez-Prokopec
Journal:  Parasit Vectors       Date:  2011-12-09       Impact factor: 3.876

5.  Characterizing environmental risk factors for West Nile virus in Quebec, Canada, using clinical data in humans and serology in pet dogs.

Authors:  J P Rocheleau; P Michel; L R Lindsay; M Drebot; A Dibernardo; N H Ogden; A Fortin; J Arsenault
Journal:  Epidemiol Infect       Date:  2017-08-24       Impact factor: 4.434

6.  Mosquitoes (Diptera: Culicidae) and their relevance as disease vectors in the city of Vienna, Austria.

Authors:  Karin Lebl; Carina Zittra; Katja Silbermayr; Adelheid Obwaller; Dominik Berer; Katharina Brugger; Melanie Walter; Beate Pinior; Hans-Peter Fuehrer; Franz Rubel
Journal:  Parasitol Res       Date:  2014-12-03       Impact factor: 2.289

7.  Predicting Spatial Patterns of Sindbis Virus (SINV) Infection Risk in Finland Using Vector, Host and Environmental Data.

Authors:  Ruut Uusitalo; Mika Siljander; C Lorna Culverwell; Guy Hendrickx; Andreas Lindén; Timothée Dub; Juha Aalto; Jussi Sane; Cedric Marsboom; Maija T Suvanto; Andrea Vajda; Hilppa Gregow; Essi M Korhonen; Eili Huhtamo; Petri Pellikka; Olli Vapalahti
Journal:  Int J Environ Res Public Health       Date:  2021-07-01       Impact factor: 3.390

8.  Climatic, ecological and socioeconomic factors as predictors of Sindbis virus infections in Finland.

Authors:  K Jalava; J Sane; J Ollgren; R Ruuhela; O Rätti; S Kurkela; P Helle; S Hartonen; P Pirinen; O Vapalahti; M Kuusi
Journal:  Epidemiol Infect       Date:  2012-11-16       Impact factor: 4.434

9.  Entropy Based Modelling for Estimating Demographic Trends.

Authors:  Guoqi Li; Daxuan Zhao; Yi Xu; Shyh-Hao Kuo; Hai-Yan Xu; Nan Hu; Guangshe Zhao; Christopher Monterola
Journal:  PLoS One       Date:  2015-09-18       Impact factor: 3.240

10.  Mosquitoes established in Lhasa city, Tibet, China.

Authors:  Qiyong Liu; Xiaobo Liu; Alistair Woodward; Li Bai; Shaowei Sang; Fangjun Wan; Lin Zhou; Yuhong Guo; Haixia Wu; Guichang Li; Liang Lu; Jun Wang; Cordia Chu
Journal:  Parasit Vectors       Date:  2013-08-06       Impact factor: 3.876

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