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Current Mathematical Models for Analyzing Anti-Malarial Antibody Data with an Eye to Malaria Elimination and Eradication
Joint Authors
Sepúlveda, Nuno
Stresman, Gillian
White, Michael T.
Drakeley, Chris J.
Source
Journal of Immunology Research
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-21, 21 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-12-06
Country of Publication
Egypt
No. of Pages
21
Main Subjects
Abstract EN
The last decade has witnessed a steady reduction of the malaria burden worldwide.
With various countries targeting disease elimination in the near future, the popular parasite infection or entomological inoculation rates are becoming less and less informative of the underlying malaria burden due to a reduced number of infected individuals or mosquitoes at the time of sampling.
To overcome such problem, alternative measures based on antibodies against specific malaria antigens have gained recent interest in malaria epidemiology due to the possibility of estimating past disease exposure in absence of infected individuals.
This paper aims then to review current mathematical models and corresponding statistical approaches used in antibody data analysis.
The application of these models is illustrated with three data sets from Equatorial Guinea, Brazilian Amazonia region, and western Kenyan highlands.
A brief discussion is also carried out on the future challenges of using these models in the context of malaria elimination.
American Psychological Association (APA)
Sepúlveda, Nuno& Stresman, Gillian & White, Michael T.& Drakeley, Chris J.. 2015. Current Mathematical Models for Analyzing Anti-Malarial Antibody Data with an Eye to Malaria Elimination and Eradication. Journal of Immunology Research،Vol. 2015, no. 2015, pp.1-21.
https://search.emarefa.net/detail/BIM-1068571
Modern Language Association (MLA)
Sepúlveda, Nuno…[et al.]. Current Mathematical Models for Analyzing Anti-Malarial Antibody Data with an Eye to Malaria Elimination and Eradication. Journal of Immunology Research No. 2015 (2015), pp.1-21.
https://search.emarefa.net/detail/BIM-1068571
American Medical Association (AMA)
Sepúlveda, Nuno& Stresman, Gillian & White, Michael T.& Drakeley, Chris J.. Current Mathematical Models for Analyzing Anti-Malarial Antibody Data with an Eye to Malaria Elimination and Eradication. Journal of Immunology Research. 2015. Vol. 2015, no. 2015, pp.1-21.
https://search.emarefa.net/detail/BIM-1068571
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1068571