Remote Sensing and Modeling of Mosquito Abundance and Habitats in Coastal Virginia, USA

Cleckner, Haley L.; Allen, Thomas R.; Bellows, A. Scott

doi:10.3390/rs3122663

Cited by 31 publications

(29 citation statements)

References 20 publications

(17 reference statements)

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“…tarsalis associated with coalbed methane development with a 72.1% success rate [15]. Cleckner et al employed Landsat ETM+ data from 2002, along with historical data of mosquito trap counts and climatic data for 2003, within a GIS to develop a spatial model that would identify mosquito habitats, and also predict mosquito abundance in coastal Virginia, USA [16]. The R 2 values for the models ranged from 0.270 to 0.405, but the authors noted that, among other considerations, the distribution of the traps could have been better, and that improving their distribution in future work may increase the effectiveness of their models.…”

Section: Introductionmentioning

confidence: 99%

Using the Normalized Difference Water Index (NDWI) within a Geographic Information System to Detect Swimming Pools for Mosquito Abatement: A Practical Approach

2013

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Mosquito-borne diseases affect millions of people worldwide. In the United States, since 1999, West Nile Virus (WNV) has infected 36,801 people and has caused the deaths of 1,580. In California, since 2002, nearly 3,600 people have been infected with WNV with an additional 124 fatalities. Analyses of remotely-and spatially-based data have proven to facilitate the study of mosquito-borne diseases, including WNV. This study proposes an efficient procedure to identify swimming pools that may serve as potential mosquito habitat. The procedure derives the Normalized Difference Water Index (NDWI) from high resolution, multi-spectral imagery to detect the presence of surface water, and then incorporates vector-based data layers within a GIS to identify residential land parcels with detectable water. This study compared the parcels identified as having water (535) with parcels known to have swimming pools (682) resulting in an accuracy of 78.4%. Nineteen of the 147 land parcels with swimming pools had backyards with enough vegetation to obscure the presence of a swimming pool from the satellite. The remaining 128 parcels lacked enough surface water for the NDWI to indicate them as actually having surface water. It is likely then that swimming pools, associated with such parcels, may have enough water in them to provide adequate habitat for mosquitoes, and so field inspection by mosquito abatement personnel would be justified.

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Section: Introductionmentioning

confidence: 99%

Using the Normalized Difference Water Index (NDWI) within a Geographic Information System to Detect Swimming Pools for Mosquito Abatement: A Practical Approach

2013

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“…Vector abundance maps were available by statistical estimation from multiple regressions of trap data on environmental factors and habitat suitability and are published in prior works [3,4]. The vulnerability index was overlaid onto predicted mosquito abundance grids to calculate a monthly exposure potential index for both groups of species per pixel, with mosquito abundance and human vulnerability input indices weighted equally in the risk formulas.…”

Section: Mapping Exposure To Mosquito Vectorsmentioning

confidence: 99%

“…In addition, the risk of exposure to mosquito-borne disease vectors may be estimated using mosquito abundance values and the broad physiological factors of human vulnerability to disease infection. Mosquito abundance values for this project were derived from a previously published study measuring the abundance of competent mosquito vector species Culiseta melanura as well as the combined abundance of Aedes vexans and Psorophora columbiae [4,5]. A. vexans and P. columbiae share a habitat preference for ephemeral pools and therefore are referred to as the "ephemeral species" throughout this paper.…”

Section: Introductionmentioning

confidence: 99%

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

Cleckner

Allen

2014

IJGI

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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.

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“…Correlative species distribution models (SDMs) relate species distribution data at known locations with information on the environmental and/or spatial characteristics of these locations [6]; these models differ from the mechanistic ones that mathematically describe the biological processes underpinning population performance [7]. In addition, Remote Sensing (RS) and Geographic Information Systems (GIS) are helpful tools for predicting and mapping species distribution [8,9].…”

Section: Introductionmentioning

confidence: 99%

Mapping of Aedes albopictus Abundance at a Local Scale in Italy

et al. 2017

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Given the growing risk of arbovirus outbreaks in Europe, there is a clear need to better describe the distribution of invasive mosquito species such as Aedes albopictus. Current challenges consist in simulating Ae. albopictus abundance, rather than its presence, and mapping its simulated abundance at a local scale to better assess the transmission risk of mosquito-borne pathogens and optimize mosquito control strategy. During 2014-2015, we sampled adult mosquitoes using 72 BG-Sentinel traps per year in the provinces of Belluno and Trento, Italy. We found that the sum of Ae. albopictus females collected during eight trap nights from June to September was positively related to the mean temperature of the warmest quarter and the percentage of artificial areas in a 250 m buffer around the sampling locations. Maps of Ae. albopictus abundance simulated from the most parsimonious model in the study area showed the largest populations in highly artificial areas with the highest summer temperatures, but with a high uncertainty due to the variability of the trapping collections. Vector abundance maps at a local scale should be promoted to support stakeholders and policy-makers in optimizing vector surveillance and control.

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Remote Sensing and Modeling of Mosquito Abundance and Habitats in Coastal Virginia, USA

Abstract: Abstract:The increase in mosquito populations following extreme weather

Cited by 31 publications

References 20 publications

Using the Normalized Difference Water Index (NDWI) within a Geographic Information System to Detect Swimming Pools for Mosquito Abatement: A Practical Approach

Using the Normalized Difference Water Index (NDWI) within a Geographic Information System to Detect Swimming Pools for Mosquito Abatement: A Practical Approach

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

Mapping of Aedes albopictus Abundance at a Local Scale in Italy

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