Journal Article

Utilization of combined remote sensing techniques to detect environmental variables influencing malaria vector densities in rural West Africa

Sauerborn, Rainer, Vignolles, Cécile, Sié, Ali, Machault, Vanessa, Dambach, Peter, Lacaux, Jean-Pierre

2012

Overview

Introduction The use of remote sensing has found its way into the field of epidemiology within the last decades. With the increased sensor resolution of recent and future satellites new possibilities emerge for high resolution risk modeling and risk mapping. Methods A SPOT 5 satellite image, taken during the rainy season 2009 was used for calculating indices by combining the image's spectral bands. Besides the widely used Normalized Difference Vegetation Index (NDVI) other indices were tested for significant correlation against field observations. Multiple steps, including the detection of surface water, its breeding appropriateness for Anopheles and modeling of vector imagines abundance, were performed. Data collection on larvae, adult vectors and geographic parameters in the field, was amended by using remote sensing techniques to gather data on altitude (Digital Elevation Model = DEM), precipitation (Tropical Rainfall Measurement Mission = TRMM), land surface temperatures (LST). Results The DEM derived altitude as well as indices calculations combining the satellite's spectral bands (NDTI = Normalized Difference Turbidity Index, NDWI Mac Feeters = Normalized Difference Water Index) turned out to be reliable indicators for surface water in the local geographic setting. While Anopheles larvae abundance in habitats is driven by multiple, interconnected factors - amongst which the NDVI - and precipitation events, the presence of vector imagines was found to be correlated negatively to remotely sensed LST and positively to the cumulated amount of rainfall in the preceding 15 days and to the Normalized Difference Pond Index (NDPI) within the 500 m buffer zone around capture points. Conclusions Remotely sensed geographical and meteorological factors, including precipitations, temperature, as well as vegetation, humidity and land cover indicators could be used as explanatory variables for surface water presence, larval development and imagines densities. This modeling approach based on remotely sensed information is potentially useful for counter measures that are putting on at the environmental side, namely vector larvae control via larviciding and water body reforming.

• Publisher: BioMed Central,BioMed Central Ltd,Springer Nature B.V,BMC
• Subject: Africa - epidemiology / Altitude / Animals / Anopheles / Atmospheric and Oceanic Physics / Burkina Faso / Burkina Faso - epidemiology / Data collection / Digital elevation model / Disease Vectors / Environment / Epidemiology / Fresh Water / Geographic information system / Geographic Information Systems - utilization / Health Informatics / Health Promotion and Disease Prevention / High spatial resolution / Human Geography / Humans / Land surface temperature / Larvae / Larval development / Malaria / Malaria - epidemiology / Medical Geography / Medicine / Medicine & Public Health / MODIS / Physics / Public Health / Rain / Rainfall measurement / Rainy season / Remote sensing / Remote Sensing Technology - utilization / Risk factors / Rural Population / Rural West Africa / Satellite Communications - utilization / Satellites / SPOT 5 satellite / Surface water / TRMM / Turbidity / Vector-borne diseases / Vegetation / Water bodies