Literature DB >> 16584329

Factors affecting the geographic distribution of West Nile virus in Georgia, USA: 2002-2004.

Samantha E J Gibbs1, Michael C Wimberly, Marguerite Madden, Janna Masour, Michael J Yabsley, David E Stallknecht.   

Abstract

The distribution of West Nile virus (WNV) is dependent on the occurrence of both susceptible avian reservoir hosts and competent mosquito vectors. Both factors can be influenced by geographic variables such as land use/landcover, elevation, human population density, physiographic region, and temperature. The current study uses geographic information systems (GIS) and logistic regression analyses to model the distribution of WNV in the state of Georgia based on a wild bird indicator system, and to identify human and environmental predictor variables that are important in the determination of WNV distribution. A database for Georgia was constructed that included (1) location points of all the avian samples tested for WNV, (2) local land use classifications, including temperature, physiographic divisions, land use/landcover, and elevation, (3) human demographic data from the U.S. Census, and (4) statistics summarizing land cover, elevation, and climate within a 1-km-radius landscape around each sample point. Logistic regression analysis was carried out using the serostatus of avian collection sites as the dependent variable. Temperature, housing density, urban/suburban land use, and mountain physiographic region were important variables in predicting the distribution of WNV in the state of Georgia. While weak, the positive correlation between WNV-antibody positive sites and the urban/suburban environment was consistent throughout the study period. The risks associated with WNV endemicity appear to be increased in urban/ suburban areas and decreased in the mountainous region of the state. This information may be used in addressing regional public health needs and mosquito control programs.

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Year:  2006        PMID: 16584329     DOI: 10.1089/vbz.2006.6.73

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


  51 in total

1.  Spatial and temporal variation in vector competence of Culex pipiens and Cx. restuans mosquitoes for West Nile virus.

Authors:  A Marm Kilpatrick; Dina M Fonseca; Gregory D Ebel; Michael R Reddy; Laura D Kramer
Journal:  Am J Trop Med Hyg       Date:  2010-09       Impact factor: 2.345

2.  Integrating Environmental Monitoring and Mosquito Surveillance to Predict Vector-borne Disease: Prospective Forecasts of a West Nile Virus Outbreak.

Authors:  Justin K Davis; Geoffrey Vincent; Michael B Hildreth; Lon Kightlinger; Christopher Carlson; Michael C Wimberly
Journal:  PLoS Curr       Date:  2017-05-23

Review 3.  Climate change impacts on West Nile virus transmission in a global context.

Authors:  Shlomit Paz
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2015-04-05       Impact factor: 6.237

4.  Delineating West Nile Virus Transmission Cycles at Various Scales: The Nearest Neighbor Distance-Time Model.

Authors:  Debarchana Ghosh; Steven M Manson; Robert B McMaster
Journal:  Cartogr Geogr Inf Sci       Date:  2010-04-01

5.  Absence of indigenous specific West Nile virus antibodies in Tyrolean blood donors.

Authors:  S T Sonnleitner; J Simeoni; E Schmutzhard; M Niedrig; F Ploner; H Schennach; M P Dierich; G Walder
Journal:  Eur J Clin Microbiol Infect Dis       Date:  2011-05-10       Impact factor: 3.267

6.  Persistent impacts of West Nile virus on North American bird populations.

Authors:  T Luke George; Ryan J Harrigan; Joseph A LaManna; David F DeSante; James F Saracco; Thomas B Smith
Journal:  Proc Natl Acad Sci U S A       Date:  2015-11-02       Impact factor: 11.205

7.  Spatio-temporal cluster analysis of county-based human West Nile virus incidence in the continental United States.

Authors:  Ramanathan Sugumaran; Scott R Larson; John P Degroote
Journal:  Int J Health Geogr       Date:  2009-07-13       Impact factor: 3.918

8.  Developing GIS-based eastern equine encephalitis vector-host models in Tuskegee, Alabama.

Authors:  Benjamin G Jacob; Nathan D Burkett-Cadena; Jeffrey C Luvall; Sarah H Parcak; Christopher J W McClure; Laura K Estep; Geoffrey E Hill; Eddie W Cupp; Robert J Novak; Thomas R Unnasch
Journal:  Int J Health Geogr       Date:  2010-02-24       Impact factor: 3.918

9.  Risk factors for human infection with West Nile Virus in Connecticut: a multi-year analysis.

Authors:  Ann Liu; Vivian Lee; Deron Galusha; Martin D Slade; Maria Diuk-Wasser; Theodore Andreadis; Matthew Scotch; Peter M Rabinowitz
Journal:  Int J Health Geogr       Date:  2009-11-27       Impact factor: 3.918

10.  Limited spillover to humans from West Nile Virus viremic birds in Atlanta, Georgia.

Authors:  Rebecca S Levine; Daniel G Mead; Uriel D Kitron
Journal:  Vector Borne Zoonotic Dis       Date:  2013-10-09       Impact factor: 2.133

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