article Open AccessTop 1% cited
Estimating and Mapping the Population at Risk of Sleeping Sickness
PLoS neglected tropical diseases · 2012 · Vol. 6(10) · pp. e1859–e1859
Pere P. Simarro✉(World Health Organization)Giuliano Cecchi(Food and Agriculture Organization of the United Nations)José R. Franco(World Health Organization)Massimo Paone(Food and Agriculture Organization of the United Nations)Abdoulaye Diarra(World Health Organization Regional Office for Africa)José A Ruiz-Postigo(World Health Organization Regional Office for the Eastern Mediterranean)Eric M. Fèvre(Centre for Immunity, Infection and Evolution)Raffaele Mattioli(Food and Agriculture Organization of the United Nations)J Jannin(World Health Organization)
Abstract
Updated estimates of the population at risk of sleeping sickness were made, based on quantitative information on the reported cases and the geographic distribution of human population. Due to substantial methodological differences, it is not possible to make direct comparisons with previous figures for at-risk population. By contrast, it will be possible to explore trends in the future. The presented maps of different HAT risk levels will help to develop site-specific strategies for control and surveillance, and to monitor progress achieved by ongoing efforts aimed at the elimination of sleeping sickness.
Trypanosoma species research and implicationsParasites and Host InteractionsMosquito-borne diseases and controlPopulationAfrican trypanosomiasisEnvironmental healthEpidemiologyGeographyPublic healthRisk assessmentPsychological interventionMedicineDemography
MeSH terms
Epidemiologic MethodsHumansTrypanosoma brucei gambienseTrypanosomiasis, AfricanAfrica South of the SaharaRisk Assessment
Funding
- Sanofi
- World Health Organization
- Wellcome Trust
- University of Edinburgh
- International Fund for Agricultural Development
Citations
359
FWCI
18.90
field-weighted impact
References
49
Percentile
100%
vs. same field & year
Citations per year
References
The Human African Trypanosomiasis Control and Surveillance Programme of the World Health Organization 2000–2009: The Way Forward
PLoS neglected tropical diseases · 2011 · 345 citations
ECOLOGICAL-NICHE FACTOR ANALYSIS: HOW TO COMPUTE HABITAT-SUITABILITY MAPS WITHOUT ABSENCE DATA?
Ecology · 2002 · 1,435 citations
Maximum entropy modeling of species geographic distributions
Ecological Modelling · 2005 · 17,289 citations
Multivariate Density Estimation, Theory, Practice, and Visualbation
Technometrics · 1993 · 2,853 citations
Citation Network
How this paper connects to the literature. Drag to explore, click any node to open that paper.
