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Remote Sens. 2016, 8(9), 770; doi:10.3390/rs8090770

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

1
Department of Environmental Health Science, Fairbanks School of Public Health, Indiana University, IUPUI, Indianapolis, IN 46202, USA
2
Department of Geography, Indiana University, IUPUI, Indianapolis, IN 46202, USA
*
Author to whom correspondence should be addressed.
Academic Editors: Naser El-Sheimy, Zahra Lari, Adel Moussa, Deepak R. Mishra, Douglas G. Goodin, Xiaofeng Li and Prasad S. Thenkabail
Received: 1 July 2016 / Revised: 15 August 2016 / Accepted: 9 September 2016 / Published: 19 September 2016
(This article belongs to the Special Issue Multi-Sensor and Multi-Data Integration in Remote Sensing)
View Full-Text   |   Download PDF [1928 KB, uploaded 19 September 2016]   |  

Abstract

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. View Full-Text
Keywords: Dengue Fever; Aedes aegypti; remote sensing; GIS; factor analysis; vector modeling Dengue Fever; Aedes aegypti; remote sensing; GIS; factor analysis; vector modeling
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Stanforth, A.; Moreno-Madriñán, M.J.; Ashby, J. Exploratory Analysis of Dengue Fever Niche Variables within the Río Magdalena Watershed. Remote Sens. 2016, 8, 770.

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