A geographical approach to identify sleeping sickness risk factors in a mangrove ecosystem.
about
Estimating and mapping the population at risk of sleeping sicknessEpidemiology of human African trypanosomiasisA targeted door-to-door strategy for sleeping sickness detection in low-prevalence settings in Côte d’IvoireAn exploratory GIS-based method to identify and characterise landscapes with an elevated epidemiological risk of Rhodesian human African trypanosomiasis.Epidemiology of sleeping sickness in Boffa (Guinea): where are the trypanosomes?In silico identification of a candidate synthetic peptide (Tsgf118-43) to monitor human exposure to tsetse flies in West Africa.Reducing Human-Tsetse Contact Significantly Enhances the Efficacy of Sleeping Sickness Active Screening Campaigns: A Promising Result in the Context of Elimination.Human Leukocyte Antigen-G: A Promising Prognostic Marker of Disease Progression to Improve the Control of Human African Trypanosomiasis.Impact of the Ebola outbreak on Trypanosoma brucei gambiense infection medical activities in coastal Guinea, 2014-2015: A retrospective analysis from the Guinean national Human African Trypanosomiasis control program.
P2860
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P2860
A geographical approach to identify sleeping sickness risk factors in a mangrove ecosystem.
description
2010 nî lūn-bûn
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2010年の論文
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2010年学术文章
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name
A geographical approach to ide ...... ctors in a mangrove ecosystem.
@en
A geographical approach to ide ...... ctors in a mangrove ecosystem.
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type
label
A geographical approach to ide ...... ctors in a mangrove ecosystem.
@en
A geographical approach to ide ...... ctors in a mangrove ecosystem.
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prefLabel
A geographical approach to ide ...... ctors in a mangrove ecosystem.
@en
A geographical approach to ide ...... ctors in a mangrove ecosystem.
@nl
P2093
P2860
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A geographical approach to ide ...... actors in a mangrove ecosystem
@en
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B Bucheton
B Coulibaly
V Jamonneau
P2860
P304
P356
10.1111/J.1365-3156.2010.02559.X
P577
2010-06-09T00:00:00Z