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. 2014 Jul 15;7:452. doi: 10.1186/1756-0500-7-452

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Copyright © 2014 Knipe et al.; licensee BioMed Central Ltd.

This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited.

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Identification of cluster boundaries for randomisation. The figure illustrates the finalised cluster boundaries used for a particular band within the study area. GPS points, local knowledge and GIS were used to identify approximate clusters. This was achieved by plotting all surveyed household within a certain area onto Google Earth. Using this as a tool alongside local knowledge, we would roughly draw cluster boundaries using the polygon drawing functionality in Google Earth. These rough boundaries were then translated into finalised cluster boundaries using ArcGIS.