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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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 |
work_keys_str_mv |
AT austinstanforth exploratoryanalysisofdenguefevernichevariableswithintheriomagdalenawatershed AT maxjmorenomadrinan exploratoryanalysisofdenguefevernichevariableswithintheriomagdalenawatershed AT jeffreyashby exploratoryanalysisofdenguefevernichevariableswithintheriomagdalenawatershed |
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1725220480853475328 |