Exploratory Analysis of Dengue Fever Niche Variables within the Río Magdalena Watershed

Previous research on Dengue Fever have involved laboratory tests or study areas with less diverse temperature and elevation ranges than is found in Colombia; therefore, preliminary research was needed to identify location specific attributes of Dengue Fever transmission. Environmental variables deri...

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Main Authors: Austin Stanforth, Max J. Moreno-Madriñán, Jeffrey Ashby
Format: Article
Language:English
Published: MDPI AG 2016-09-01
Series:Remote Sensing
Subjects:
GIS
Online Access:http://www.mdpi.com/2072-4292/8/9/770
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spelling doaj-05986ff686214374959f7b568ca9b5ea2020-11-25T00:58:21ZengMDPI AGRemote Sensing2072-42922016-09-018977010.3390/rs8090770rs8090770Exploratory Analysis of Dengue Fever Niche Variables within the Río Magdalena WatershedAustin Stanforth0Max J. Moreno-Madriñán1Jeffrey Ashby2Department of Environmental Health Science, Fairbanks School of Public Health, Indiana University, IUPUI, Indianapolis, IN 46202, USADepartment of Environmental Health Science, Fairbanks School of Public Health, Indiana University, IUPUI, Indianapolis, IN 46202, USADepartment of Environmental Health Science, Fairbanks School of Public Health, Indiana University, IUPUI, Indianapolis, IN 46202, USAPrevious research on Dengue Fever have involved laboratory tests or study areas with less diverse temperature and elevation ranges than is found in Colombia; therefore, preliminary research was needed to identify location specific attributes of Dengue Fever transmission. Environmental variables derived from the Moderate Resolution Imaging Spectroradiometer (MODIS) and Tropical Rainfall Measuring Mission (TRMM) satellites were combined with population variables to be statistically compared against reported cases of Dengue Fever in the Río Magdalena watershed, Colombia. Three-factor analysis models were investigated to analyze variable patterns, including a population, population density, and empirical Bayesian estimation model. Results identified varying levels of Dengue Fever transmission risk, and environmental characteristics which support, and advance, the research literature. Multiple temperature metrics, elevation, and vegetation composition were among the more contributory variables found to identify future potential outbreak locations.http://www.mdpi.com/2072-4292/8/9/770Dengue FeverAedes aegyptiremote sensingGISfactor analysisvector modeling
collection DOAJ
language English
format Article
sources DOAJ
author Austin Stanforth
Max J. Moreno-Madriñán
Jeffrey Ashby
spellingShingle Austin Stanforth
Max J. Moreno-Madriñán
Jeffrey Ashby
Exploratory Analysis of Dengue Fever Niche Variables within the Río Magdalena Watershed
Remote Sensing
Dengue Fever
Aedes aegypti
remote sensing
GIS
factor analysis
vector modeling
author_facet Austin Stanforth
Max J. Moreno-Madriñán
Jeffrey Ashby
author_sort Austin Stanforth
title Exploratory Analysis of Dengue Fever Niche Variables within the Río Magdalena Watershed
title_short Exploratory Analysis of Dengue Fever Niche Variables within the Río Magdalena Watershed
title_full Exploratory Analysis of Dengue Fever Niche Variables within the Río Magdalena Watershed
title_fullStr Exploratory Analysis of Dengue Fever Niche Variables within the Río Magdalena Watershed
title_full_unstemmed Exploratory Analysis of Dengue Fever Niche Variables within the Río Magdalena Watershed
title_sort exploratory analysis of dengue fever niche variables within the río magdalena watershed
publisher MDPI AG
series Remote Sensing
issn 2072-4292
publishDate 2016-09-01
description Previous research on Dengue Fever have involved laboratory tests or study areas with less diverse temperature and elevation ranges than is found in Colombia; therefore, preliminary research was needed to identify location specific attributes of Dengue Fever transmission. Environmental variables derived from the Moderate Resolution Imaging Spectroradiometer (MODIS) and Tropical Rainfall Measuring Mission (TRMM) satellites were combined with population variables to be statistically compared against reported cases of Dengue Fever in the Río Magdalena watershed, Colombia. Three-factor analysis models were investigated to analyze variable patterns, including a population, population density, and empirical Bayesian estimation model. Results identified varying levels of Dengue Fever transmission risk, and environmental characteristics which support, and advance, the research literature. Multiple temperature metrics, elevation, and vegetation composition were among the more contributory variables found to identify future potential outbreak locations.
topic Dengue Fever
Aedes aegypti
remote sensing
GIS
factor analysis
vector modeling
url http://www.mdpi.com/2072-4292/8/9/770
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