Journal article
Defining the relationship between Plasmodium falciparum parasite rate and clinical disease: statistical models for disease burden estimation
- Abstract:
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Background: Clinical malaria has proven an elusive burden to enumerate. Many cases go undetected by routine disease recording systems. Epidemiologists have, therefore, frequently defaulted to actively measuring malaria in population cohorts through time. Measuring the clinical incidence of malaria longitudinally is labour-intensive and impossible to undertake universally. There is a need, therefore, to define a relationship between clinical incidence and the easier and more commonly measured ...
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- Publication status:
- Published
- Peer review status:
- Peer reviewed
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(Version of record, doc, 1.1MB)
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- Publisher copy:
- 10.1186/1475-2875-8-186
Authors
Funding
+ "Wellcome Trust", "Kenyan Medical Research Institute"
More from this funder
Funding agency for:
Snow, R
Hay, S
Bibliographic Details
- Publisher:
- BioMed Central Publisher's website
- Journal:
- Malaria Journal Journal website
- Volume:
- 8
- Article number:
- 186
- Publication date:
- 2009-08-01
- DOI:
- ISSN:
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1475-2875
Item Description
- Language:
- English
- Subjects:
- UUID:
-
uuid:ea7c31a8-920d-4f18-9606-aff73136aa14
- Local pid:
- ora:3661
- Deposit date:
- 2010-04-23
Related Items
Terms of use
- Copyright holder:
- Patil et al
- Copyright date:
- 2009
- Notes:
- Citation: Patil, A. P. et al. (2009). 'Defining the relationship between Plasmodium falciparum parasite rate and clinical disease: statistical models for disease burden estimation', Malaria Journal 8:186. [Available at http://www.malariajournal.com/content/8/1/186]. © 2009 Patil et al; licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
- Licence:
- CC Attribution (CC BY)
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