Next Article in Journal
Vertical Measurements in Oblique Aerial Imagery
Next Article in Special Issue
Holistics 3.0 for Health
Previous Article in Journal
Rapid Prototyping — A Tool for Presenting 3-Dimensional Digital Models Produced by Terrestrial Laser Scanning
Previous Article in Special Issue
Modeling Properties of Influenza-Like Illness Peak Events with Crossing Theory
Article Menu

Export Article

Open AccessArticle
ISPRS Int. J. Geo-Inf. 2014, 3(3), 891-913; doi:10.3390/ijgi3030891

Dasymetric Mapping and Spatial Modeling of Mosquito Vector Exposure, Chesapeake, Virginia, USA

Department of Geography, Environment & Planning, East Carolina University, Greenville, NC 27858, USA
*
Author to whom correspondence should be addressed.
Received: 14 November 2013 / Revised: 21 June 2014 / Accepted: 2 July 2014 / Published: 14 July 2014
(This article belongs to the Special Issue Remote Sensing and Geospatial Technologies in Public Health)
View Full-Text   |   Download PDF [3116 KB, uploaded 14 July 2014]   |  

Abstract

Complex biophysical, social, and human behavioral factors influence population vulnerability to vector-borne diseases. Spatially and temporally dynamic environmental and anthropogenic patterns require sophisticated mapping and modeling techniques. While many studies use environmental variables to predict risk, human population vulnerability has been a challenge to incorporate into spatial risk models. This study demonstrates and applies dasymetric mapping techniques to map spatial patterns of vulnerable human populations and characterize potential exposure to mosquito vectors of West Nile Virus across Chesapeake, Virginia. Mosquito vector abundance is quantified and combined with a population vulnerability index to evaluate exposure of human populations to mosquitoes. Spatial modeling is shown to capture the intersection of environmental factors that produce spatial hotspots in mosquito vector abundance, which in turn poses differential risks over time to humans. Such approaches can help design overall mosquito pest management and identify high-risk areas in advance of extreme weather. View Full-Text
Keywords: risk mapping; mosquito-borne disease; dasymetric mapping risk mapping; mosquito-borne disease; dasymetric mapping
Figures

This is an open access article distributed under the Creative Commons Attribution License (CC BY 3.0).

Scifeed alert for new publications

Never miss any articles matching your research from any publisher
  • Get alerts for new papers matching your research
  • Find out the new papers from selected authors
  • Updated daily for 49'000+ journals and 6000+ publishers
  • Define your Scifeed now

SciFeed Share & Cite This Article

MDPI and ACS Style

Cleckner, H.; Allen, T.R. Dasymetric Mapping and Spatial Modeling of Mosquito Vector Exposure, Chesapeake, Virginia, USA. ISPRS Int. J. Geo-Inf. 2014, 3, 891-913.

Show more citation formats Show less citations formats

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
ISPRS Int. J. Geo-Inf. EISSN 2220-9964 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top