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

Journal of Immunology Research
Nuno SepúlvedaChris Drakeley

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.

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Feb 12, 2011·PLoS Medicine·Pedro L AlonsoMarcel Tanner
Apr 13, 2017·Scientific Reports·Gillian H StresmanPeter J Diggle
Jan 11, 2017·BMC Infectious Diseases·Rajika Lasanthi DewasurendraNadira Dharshani Karunaweera
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Sep 21, 2019·Emerging Infectious Diseases·Ana Maria FonsecaAlfredo Mayor
Apr 13, 2021·Epidemiology and Infection·Irene Kyomuhangi, Emanuele Giorgi
Aug 29, 2021·Viruses·Joseph R BiggsJulius Clemence R Hafalla

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