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Nature 437, E4-E5 (8 September 2005) | doi:10.1038/nature04180; Published online 7 September 2005
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Senior Statistical Genetics in High-throughput Sequencing Analysis
- University of Oxford
- Oxford United Kingdom
Postdoctoral Fellow - Computational Genomics - Team 78 – Ref: 80464
- Wellcome Trust Sanger Institute
- Hinxton, Cambridgeshire CB10 1, UK
Malaria risk: Estimating clinical episodes of malaria (reply)
Robert W. Snow1,2, Carlos A. Guerra3, Abdisalan M. Noor2, Hly Y. Myint4 & Simon I. Hay1,3
Abstract
We have provided an evidence-based framework for estimating the public-health burden of P. falciparum malaria1 by using a uniform series of structured, transparent and reproducible data and methods to define the cartography of this parasite's clinical impact at a global scale. This contribution to global disease modelling is questioned by Nahlen et al.2 for United Nations agencies responsible for measuring development targets (see also ref. 3), and our estimation of the malaria burden outside Africa is challenged by Bell et al.4.
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RESEARCH
The global distribution of clinical episodes of Plasmodium falciparum malariaNature Letters to Editor (10 Mar 2005)
Malaria risk Estimating clinical episodes of malariaNature Brief Communication (08 Sep 2005)
Malaria risk Estimation of the malaria burdenNature Brief Communication (08 Sep 2005)
Structural basis for Duffy recognition by the malaria parasite Duffy-binding-like domainNature Letters to Editor (09 Feb 2006)
See all 8 matches for Research