BackgroundAfter many years of general neglect, interest has grown and efforts came under way for the mapping, control, surveillance, and eventual elimination of neglected tropical diseases (NTDs). Disease risk estimates are a key feature to target control interventions, and serve as a benchmark for monitoring and evaluation. What is currently missing is a georeferenced global database for NTDs providing open-access to the available survey data that is constantly updated and can be utilized by researchers and disease control managers to support other relevant stakeholders. We describe the steps taken toward the development of such a database that can be employed for spatial disease risk modeling and control of NTDs.MethodologyWith an emphasis on schistosomiasis in Africa, we systematically searched the literature (peer-reviewed journals and ‘grey literature’), contacted Ministries of Health and research institutions in schistosomiasis-endemic countries for location-specific prevalence data and survey details (e.g., study population, year of survey and diagnostic techniques). The data were extracted, georeferenced, and stored in a MySQL database with a web interface allowing free database access and data management.Principal FindingsAt the beginning of 2011, our database contained more than 12,000 georeferenced schistosomiasis survey locations from 35 African countries available under http://www.gntd.org. Currently, the database is expanded to a global repository, including a host of other NTDs, e.g. soil-transmitted helminthiasis and leishmaniasis.ConclusionsAn open-access, spatially explicit NTD database offers unique opportunities for disease risk modeling, targeting control interventions, disease monitoring, and surveillance. Moreover, it allows for detailed geostatistical analyses of disease distribution in space and time. With an initial focus on schistosomiasis in Africa, we demonstrate the proof-of-concept that the establishment and running of a global NTD database is feasible and should be expanded without delay.

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Several Paratrichodorus and Trichodorus (trichodorid) nematode species are natural vectors of Tobacco rattle virus (TRV) and cause economically important diseases, especially in potato and ornamental bulbous crops. Identification of trichodorid species based on morphological characters is laborious, time-consuming, and requires the services of highly trained personnel. Molecular diagnostics for trichodorid nematodes, using the ribosomal DNA repeat unit, were successfully developed to distinguish two Paratrichodorus and two Trichodorus species. The complete sequences of the 18S genes and the ITS-1 regions for these species were obtained and species-specific primers successfully designed for them. An RT-PCR assay was developed utilizing isolate-specific primers that amplify serologically distinguishable strains of TRV in individual trichodorid nematodes. The primers were based on the highly conserved RNA-1 segment of the bipartite genome and also on different parts of the RNA-2 segment of the virus genome.