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Epidemiological uses of a population model for the tick Rhipicephalus appendiculatus
Author(s) -
Randolph Sarah
Publication year - 1999
Publication title -
tropical medicine and international health
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.056
H-Index - 114
eISSN - 1365-3156
pISSN - 1360-2276
DOI - 10.1046/j.1365-3156.1999.00449.x
Subject(s) - tick , population , rhipicephalus , tick borne disease , geography , ecology , abundance (ecology) , spatial distribution , biology , environmental health , remote sensing , medicine
Summary The spatial and temporal risk of tick‐borne disease depends fundamentally on the distribution, abundance and seasonal dynamics of the vector ticks. The latter factor exerts a major quantitative influence on the transmission dynamics of tick‐borne parasites. The population model for Rhipicephalus appendiculatus applies throughout the range of this tick in eastern Africa, and predicts all three fundamental risk factors on the basis of the local temperature and rainfall conditions. Satellite imagery can provide more detailed, real‐time measures of environmental conditions over extensive areas than climatic data. There is preliminary evidence to suggest that the population model could be driven by satellite‐derived surrogates of its climatic predictors, thus providing wide‐scale predictive risk maps of theileriosis.