1999/03/01 by G. Hendrickx, Guy Hendrickx, A. Napala +6 · 1 citation
Agricultural and Biological Sciences · Medicine · #Insect symbiosis and bacterial influences #Mosquito-borne diseases and control #Trypanosoma species research and implications
paper · doi:10.1017/s0007485399000358
crossref issued 1999/03/01 · crossref published 1999/03/01 · crossref published-print 1999/03/01 · openalex publication_date 1999/03/01 · crossref published-online 2007/03/09 · crossref created 2007/11/26 · crossref deposited 2019/05/09 · openalex created_date 2025/10/10 · crossref indexed 2026/07/28 · openalex updated_date 2026/07/29
Abstract A raster or grid-based Geographic Information System with data on tsetse, trypanosomosis, animal production, agriculture and land use has recently been developed in Togo. This paper describes the generation of area-wide digital tsetse distribution and abundance maps and how these accord with the local climatic and agro-ecological setting. Results include: (i) a spatial demarcation of ecologically distinct areas, producing a seasonal cluster map based on seasonal weather data and temporal series of satellite derived National Oceanic and Atmospheric Administration (NOAA) AVHRR and METEOSAT variables: (ii) tsetse distribution maps of Glossina tachinoides Westwood, G. palpalis palpalis (Robineau-Desvoidy), G. morsitans submorsitans Newstead, G. longipalpis Wiedemann, G. medicorum Austen and G. fusca fusca (Walker); and (iii) tsetse abundance or ‘risk’ maps, corrected for within database seasonal fluctuations, for G. tachinoides and G. p. palpalis . It is concluded that grid-based sampling is the ideal method for rapid assessment of the current vector and disease situation within any country or region, and that remote sensing has an important role to play in planning such a sampling system.