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Current Mathematical Models for Analyzing Anti-Malarial Antibody Data with an Eye to Malaria Elimination and Eradication.

Authors :
SepĂșlveda N
Stresman G
White MT
Drakeley CJ
Source :
Journal of immunology research [J Immunol Res] 2015; Vol. 2015, pp. 738030. Date of Electronic Publication: 2015 Dec 06.
Publication Year :
2015

Abstract

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.

Details

Language :
English
ISSN :
2314-7156
Volume :
2015
Database :
MEDLINE
Journal :
Journal of immunology research
Publication Type :
Academic Journal
Accession number :
26770994
Full Text :
https://doi.org/10.1155/2015/738030