Leishmaniasis is a disease that affects humans, canids, rodents, and
vertebrates. It is caused by different species of Leishmania protozoa, with tiny sand-fly
insects as the incriminated vectors of the disease. Some cases of the diseases require
treatment, while in other cases if left untreated, it can lead to the death of the affected
victim. The factors that affect the distribution and abundance of these vectors are still
not completely known. Therefore, it is of utmost importance to fill in the gaps
necessary to fully understand the contributing factors to the abundance and distribution
of the vectors and how these factors affect their behavior. Artificial Neural Networks is
quite an accomplished problem-solving approach in computing and information
technology-oriented devices. In this paper, backpropagation neural networks are
applied in recognizing some vectors of leishmaniasis using some environmental factors
and how these environmental factors contribute to the distribution and abundance of
the vectors analyzed in this study.
Keywords: Artificial Neural Networks, Intelligent System, Leishmaniasis,
Sandflies.
