Volume 54, Issue 3
  • ISSN: 0002-9637
  • E-ISSN: 1476-1645



Use of multispectral satellite data to predict arthropod-borne disease trouble spots is dependent on clear understandings of environmental factors that determine the presence of disease vectors. A blind test of remote sensing-based predictions for the spatial distribution of a malaria vector, , was conducted as a follow-up to two years of studies on vector-environmental relationships in Belize. Four of eight sites that were predicted to be high probability locations for presence of were positive and all low probability sites (0 of 12) were negative. The absence of at four high probability locations probably reflects the low densities that seem to characterize field populations of this species, i.e., the population densities were below the threshold of our sampling effort. Another important malaria vector, , was also present at all high probability sites and absent at all low probability sites. , like , is a riverine species. Prior to these collections at ecologically defined locations, this species was last detected in Belize in 1946.


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