Snail-borne diseases that are classified as Tropical Neglected Diseases (TND) are of great public health concern in many countries of Sub-Saharan Africa. Two forms of the disease occur in Kenya, notably urinary schistosomiasis caused by Schistosoma haematobium and intestinal schistosomiasis caused by Schistosoma mansoni. It is estimated that about 6 million people are at risks of infection and over 2 million people are infected based on a public health press release in 2010. The parasites that cause these snail-borne diseases thrive in several species of freshwater snails spread among freshwater habitats in Kenya. Therefore, understanding the distribution of these freshwater snails and their population status among the various wetlands is valuable for planning and focusing on control of these diseases. Bioinformatics involves development of databases relevant for advancing the understanding of species distribution and population status, and provides an excellent avenue for studying these diseases. Since 2010, the National Museums of Kenya, which host a large collection of invertebrates including freshwater snails, have embarked on an ambitious bioinformatics program for invertebrates. Over the years, the program has managed to database many invertebrates and update the old collection with new field observations. The bioinformatics work opened avenues for further application of the data captured. Mapping freshwater snails distributions for developing snail-borne diseases risks maps was the first opportunity that was recognized through the bioinformatics work. Currently, a snail-borne disease risk map has been developed for Taveta sub-county and these results will be shared during the 2015 TDWG conference. The risks maps may be used by the sub-county public health officials to focus snail-borne disease control interventions such as mass drug administration.