Satellite imagery, tsetse and trypanosomiasis in Africa

摘要: Abstract This paper describes the application of remote sensing to studies on African trypanosomiases causing sleeping sickness in man and ‘nagana’ domestic animals. After giving some biological background problem, an important relationship between risk infection animals, tsetse fly numbers rates is presented. An understanding latter leads a prediction cattle. The problems analysing interpreting distribution abundance patterns flies are explored, mortality climogram approach described which meteorological variables appear be temperature saturation deficit. approach, can applied data collected at only very few sites, extensive predictions distributional limits Glossina morsitans Westwood. These supported by known this species throughout Africa. A similarity noted published whole-Africa normalised difference vegetation indices (NDVI) exploration usefulness NDVI for such vector studies. likely information content images identified through principal component analysis, correlations shown values annual temperature, deficit rainfall figures more than 300 sites sub-Saharan region continent. highly correlated with both figures. Significant mean monthly values, physical size vectors (known reflect affecting parental population) along approximately 700 km transect across whole range eco-climate conditions West Reasons suggested localisation human just one several regions sampled transect. Finally, seasonal changes case Uganda Kenya from areas concerned. first these negative, second positive. Explanations given terms different epidemiological situations long-standing foci East It concluded that rather limited amount available has already proved enormously useful, plea made complete National Oceanic Atmospheric Administration (NOAA) data, especially highest resolution, whilst not neglecting vitally ground-based possible results presented paper.