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Muturi, E.J., Mwangangi, J., Shililu, J., Muriu, S.M., Jacob, B.G., Kabiru, E.W., Gu, W., Mbogo, C.M., Githure, J. and Novak, R.J. (2007) Mosquito Species Succession and Physicochemical Factors Affecting Their Abundance in Rice Fields in Mwea, Kenya. Journal of Medical Entomology, 44, 336-344. http://dx.doi.org/10.1603/0022-2585(2007)44[336:MSSAPF]2.0.CO;2

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• TITLE: Integrating a Trimble Recon X 400 MHz Intel PXA255 Xscale CPU® Mobile Field Data Collection System Using Differentially Corrected Global Positioning System Technology and a Real-Time Bidirectional Actionable Platform within an ArcGIS Cyberenvironment for Implementing Mosquito Control

  AUTHORS: Benjamin G. Jacob, Robert J. Novak

  KEYWORDS: Trimble Recon X, Vector Control Management System (VCMS), Anopheles arabiensis, QuickBird Imagery

  JOURNAL NAME: Advances in Remote Sensing, Vol.3 No.3, September 29, 2014

  ABSTRACT: In this research, we determined the feasibility of using a Personal Digital Assistant (PDA) as a mobile field data collection system by monitoring mapping and regressing digitized sub-meter resolution polygons of multiple, malaria, mosquito, Anopheline arabiensis s.s., aquatic, larval, habitat covariates. The system employed QuickBird raster imagery displayed on a Trimble Recon X 400 MHz Intel PXA255 Xscale CPU®. The mobile mapping platform was employed to identify specific geographical locations of treated and untreated seasonal An. arabiensis s.s. aquatic larval habitats in Karima rice-village complex in the Mwea Rice Scheme, Kenya. As data pertaining to An. arabiensis s.s. larval habitats were entered, all treated and untreated rice paddies within a 2 km buffer of the agro-village, riceland-complex, epidemiological, study site were viewed and managed on the PDA.