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Toward an open-access global database for mapping, control, and surveillance of neglected tropical diseases

Hürlimann, E. and Schur, N. and Boutsika, K. and Stensgaard, A. S. and Laserna de Himpsl M., and Ziegelbauer, K. and Laizer, N. and Camenzind, L. and Di Pasquale A., and Ekpo, U. F. and Simoonga, C. and Mushinge, G. and Saarnak, C. F. and Utzinger, J. and Kristensen, T. K. and Vounatsou, P.. (2011) Toward an open-access global database for mapping, control, and surveillance of neglected tropical diseases. PLoS neglected tropical diseases, Vol. 5, H. 12 , e1404.

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Official URL: http://edoc.unibas.ch/dok/A6002377

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Abstract

BACKGROUND: After 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. METHODOLOGY: With 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 FINDINGS: At 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. CONCLUSIONS: An 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 on global NTD database is feasible and should be expanded without delay
Faculties and Departments:09 Associated Institutions > Swiss Tropical and Public Health Institute (Swiss TPH) > Department of Epidemiology and Public Health (EPH) > Infectious Disease Modelling > Infectious Disease Modelling (Smith)
09 Associated Institutions > Swiss Tropical and Public Health Institute (Swiss TPH) > Department of Epidemiology and Public Health (EPH) > Eco System Health Sciences > Health Impact Assessment (Utzinger)
UniBasel Contributors:Vounatsou, Penelope and Utzinger, Jürg
Item Type:Article, refereed
Article Subtype:Research Article
Bibsysno:Link to catalogue
Publisher:Library of Science
ISSN:1935-2727
Note:Publication type according to Uni Basel Research Database: Journal article
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Last Modified:08 Nov 2012 16:23
Deposited On:08 Nov 2012 16:20

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