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An updated atlas of human helminth infections: the example of East Africa

Simon Brooker1,2 email, Narcis B Kabatereine3 email, Jennifer L Smith1 email, Denise Mupfasoni4 email, Mariam T Mwanje5 email, Onésime Ndayishimiye6 email, Nicholas JS Lwambo7 email, Deborah Mbotha2 email, Peris Karanja2 email, Charles Mwandawiro8 email, Eric Muchiri4 email, Archie CA Clements9 email, Donald AP Bundy10 email and Robert W Snow2,11 email

Department of Infectious and Tropical Diseases, London School of Hygiene and Tropical Medicine, UK

Kenya Medical Research Institute (KEMRI)-Wellcome Trust Research Programme, Nairobi, Kenya

Vector Control Division, Uganda Ministry of Health, Kampala, Uganda

Neglected Tropical Disease Control Programme, Access Project, Kigali, Rwanda

Division of Vector Borne Diseases, Kenya Ministry of Health, Nairobi, Kenya

Projet Maladies Tropicales Négligées, Bujumbura, Burundi

National Institute for Medical Research, Mwanza, United Republic of Tanzania

Eastern and Southern Africa Centre of International Parasite Control, KEMRI, Nairobi, Kenya

School of Population Health, University of Queensland, Australia

10  Human Development Network, The World Bank, Washington DC, USA

11  Centre for Tropical Medicine, University of Oxford, UK

author email corresponding author email

International Journal of Health Geographics 2009, 8:42doi:10.1186/1476-072X-8-42

Published: 9 July 2009

Abstract

Background

Reliable and updated maps of helminth (worm) infection distributions are essential to target control strategies to those populations in greatest need. Although many surveys have been conducted in endemic countries, the data are rarely available in a form that is accessible to policy makers and the managers of public health programmes. This is especially true in sub-Saharan Africa, where empirical data are seldom in the public domain. In an attempt to address the paucity of geographical information on helminth risk, this article describes the development of an updated global atlas of human helminth infection, showing the example of East Africa.

Methods

Empirical, cross-sectional estimates of infection prevalence conducted since 1980 were identified using electronic and manual search strategies of published and unpublished sources. A number of inclusion criteria were imposed for identified information, which was extracted into a standardized database. Details of survey population, diagnostic methods, sample size and numbers infected with schistosomes and soil-transmitted helminths were recorded. A unique identifier linked each record to an electronic copy of the source document, in portable document format. An attempt was made to identify the geographical location of each record using standardized geolocation procedures and the assembled data were incorporated into a geographical information system.

Results

At the time of writing, over 2,748 prevalence surveys were identified through multiple search strategies. Of these, 2,612 were able to be geolocated and mapped. More than half (58%) of included surveys were from grey literature or unpublished sources, underlining the importance of reviewing in-country sources. 66% of all surveys were conducted since 2000. Comprehensive, countrywide data are available for Burundi, Rwanda and Uganda. In contrast, information for Kenya and Tanzania is typically clustered in specific regions of the country, with few records from areas with very low population density and/or environmental conditions which are unfavourable for helminth transmission. Information is presented on the prevalence and geographical distribution for the major helminth species.

Conclusion

For all five countries, the information assembled in the current atlas provides the most reliable, up-to-date and comprehensive source of data on the distribution of common helminth infections to guide the rational implementation of control efforts.


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