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ISPRS Int. J. Geo-Inf. 2014, 3(2), 732-749; doi:10.3390/ijgi3020732

Correlating Remote Sensing Data with the Abundance of Pupae of the Dengue Virus Mosquito Vector, Aedes aegypti, in Central Mexico

Department of Environmental Health, Fairbanks School of Public Health, Indiana University, IUPUI, Indianapolis, IN 46202, USA
Science and Technology Institute, Universities Space Research Association (USRA), Huntsville, AL 35805, USA
Department of Microbiology, Immunology and Pathology, Colorado State University, Fort Collins, CO 80523, USA
Earth and System Science Center, University of Alabama in Huntsville, Huntsville, AL 35805, USA
Research Applications Laboratory, National Center for Atmospheric Research, Boulder, CO 80307, USA
Earth Science Division, Applied Sciences Program, NASA Headquarters, Washington, DC 20024-3210, USA
Earth Science, NASA Marshall Space Flight Center, Huntsville, AL 35811, USA
Earth Sciences Center, Veracruz University, 91090 Xalapa, Mexico
Division of Vector-Borne Diseases, National Center for Emerging and Zoonotic Infectious Diseases, Centers for Disease Control and Prevention, Fort Collins, CO 80521, USA
Author to whom correspondence should be addressed.
Received: 24 March 2014 / Revised: 23 April 2014 / Accepted: 29 April 2014 / Published: 20 May 2014
(This article belongs to the Special Issue Remote Sensing and Geospatial Technologies in Public Health)
View Full-Text   |   Download PDF [367 KB, 28 May 2014; original version 20 May 2014]   |  


Using a geographic transect in Central Mexico, with an elevation/climate gradient, but uniformity in socio-economic conditions among study sites, this study evaluates the applicability of three widely-used remote sensing (RS) products to link weather conditions with the local abundance of the dengue virus mosquito vector, Aedes aegypti (Ae. aegypti). Field-derived entomological measures included estimates for the percentage of premises with the presence of Ae. aegypti pupae and the abundance of Ae. aegypti pupae per premises. Data on mosquito abundance from field surveys were matched with RS data and analyzed for correlation. Daily daytime and nighttime land surface temperature (LST) values were obtained from Moderate Resolution Imaging Spectroradiometer (MODIS)/Aqua cloud-free images within the four weeks preceding the field survey. Tropical Rainfall Measuring Mission (TRMM)-estimated rainfall accumulation was calculated for the four weeks preceding the field survey. Elevation was estimated through a digital elevation model (DEM). Strong correlations were found between mosquito abundance and RS-derived night LST, elevation and rainfall along the elevation/climate gradient. These findings show that RS data can be used to predict Ae. aegypti abundance, but further studies are needed to define the climatic and socio-economic conditions under which the correlations observed herein can be assumed to apply.
Keywords: MODIS; TRMM; DEM; Aqua; remote sensing; elevation; mosquito; rainfall; temperature MODIS; TRMM; DEM; Aqua; remote sensing; elevation; mosquito; rainfall; temperature

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

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MDPI and ACS Style

Moreno-Madriñán, M.J.; Crosson, W.L.; Eisen, L.; Estes, S.M.; Estes Jr., M.G.; Hayden, M.; Hemmings, S.N.; Irwin, D.E.; Lozano-Fuentes, S.; Monaghan, A.J.; Quattrochi, D.; Welsh-Rodriguez, C.M.; Zielinski-Gutierrez, E. Correlating Remote Sensing Data with the Abundance of Pupae of the Dengue Virus Mosquito Vector, Aedes aegypti, in Central Mexico. ISPRS Int. J. Geo-Inf. 2014, 3, 732-749.

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