Research
Defining the relationship between Plasmodium falciparum parasite rate and clinical disease: statistical models for disease burden estimation
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* Corresponding author: Simon I Hay simon.hay@zoo.ox.ac.uk
1 Spatial Ecology and Epidemiology Group, Tinbergen Building, Department of Zoology, University of Oxford, South Parks Road, Oxford OX1 3PS, UK
2 Malaria Public Health and Epidemiology Group, Centre for Geographic Medicine, KEMRI – Univ. Oxford – Wellcome Trust Collaborative Programme, Kenyatta National Hospital Grounds, P.O. Box 43640-00100 Nairobi, Kenya
3 National Institute of Malaria Research (Indian Council of Medical Research), Field station, Sector-5, Rourkela-769002, Orissa, India
4 Centre for Tropical Medicine, Nuffield Department of Clinical Medicine, University of Oxford, CCVTM, Oxford, OX3 9DS, UK
Malaria Journal 2009, 8:186 doi:10.1186/1475-2875-8-186
Published: 5 August 2009Additional files
Additional File 1:
Matching Plasmodium falciparum clinical incidence and prevalence data. A fully referenced table of the Plasmodium falciparum clinical incidence and matched age-stratified Plasmodium falciparum parasite data.
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