Home > Research > Publications & Outputs > The geographic distribution of loa loa in Africa

Electronic data

  • Journal

    Rights statement: © 2011 Zouré et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

    Final published version, 992 KB, PDF document

    Available under license: CC BY

Links

Text available via DOI:

View graph of relations

The geographic distribution of loa loa in Africa: results of large-scale implementation of the Rapid Assessment Procedure for Loiasis (RAPLOA)

Research output: Contribution to journalJournal article

Published
  • Honorat Gustave Marie Zoure
  • Samuel Wanji
  • Mounkaila Noma
  • Uche Veronica Amazigo
  • Peter J. Diggle
  • Afework Hailemariam Tekle
  • Jan H. F. Remme
Close
Article numbere1210
<mark>Journal publication date</mark>06/2011
<mark>Journal</mark>PLoS Neglected Tropical Diseases
Issue number6
Volume5
Number of pages11
Pages (from-to)-
Publication StatusPublished
<mark>Original language</mark>English

Abstract

Background: Loiasis is a major obstacle to ivermectin treatment for onchocerciasis control and lymphatic filariasis elimination in central Africa. In communities with a high level of loiasis endemicity, there is a significant risk of severe adverse reactions to ivermectin treatment. Information on the geographic distribution of loiasis in Africa is urgently needed but available information is limited. The African Programme for Onchocerciasis Control (APOC) undertook large scale mapping of loiasis in 11 potentially endemic countries using a rapid assessment procedure for loiasis (RAPLOA) that uses a simple questionnaire on the history of eye worm.

Methodology/Principal Findings: RAPLOA surveys were done in a spatial sample of 4798 villages covering an area of 250063000 km centred on the heartland of loiasis in Africa. The surveys showed high risk levels of loiasis in 10 countries where an estimated 14.4 million people live in high risk areas. There was a strong spatial correlation among RAPLOA data, and kriging was used to produce spatially smoothed contour maps of the interpolated prevalence of eye worm and the predictive probability that the prevalence exceeds 40%.

Conclusion/Significance: The contour map of eye worm prevalence provides the first global map of loiasis based on actual survey data. It shows a clear distribution with two zones of hyper endemicity, large areas that are free of loiasis and several borderline or intermediate zones. The surveys detected several previously unknown hyperendemic foci, clarified the distribution of loiasis in the Central African Republic and large parts of the Republic of Congo and the Democratic Republic of Congo for which hardly any information was available, and confirmed known loiasis foci. The new maps of the prevalence of eye worm and the probability that the prevalence exceeds the risk threshold of 40% provide critical information for ivermectin treatment programs among millions of people in Africa.