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Estimating clinical episodes of malaria (reply)

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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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References

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Authors and Affiliations

  1. Malaria Public Health & Epidemiology Group, KEMRI/Wellcome Trust Research Laboratories, PO Box 43640, Nairobi, 00100, Kenya

    Robert W. Snow & Simon I. Hay

  2. Centre for Tropical Medicine, John Radcliffe Hospital, University of Oxford, Oxford, OX3 9DS, UK

    Robert W. Snow & Abdisalan M. Noor

  3. Department of Zoology, TALA Research Group, Tinbergen Building, University of Oxford, South Parks Road, Oxford, OX1 3PS, UK

    Carlos A. Guerra & Simon I. Hay

  4. Faculty of Tropical Medicine, Mahidol University, Bangkok, 10400, Thailand

    Hly Y. Myint

Authors
  1. Robert W. Snow
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  2. Carlos A. Guerra
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  3. Abdisalan M. Noor
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  4. Hly Y. Myint
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  5. Simon I. Hay
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Correspondence to Robert W. Snow.

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Snow, R., Guerra, C., Noor, A. et al. Estimating clinical episodes of malaria (reply). Nature 437, E4–E5 (2005). https://doi.org/10.1038/nature04180

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