Cargando…

Comparison of Modeling Methods to Determine Liver-to-blood Inocula and Parasite Multiplication Rates During Controlled Human Malaria Infection

Controlled human malaria infection is used to measure efficacy of candidate malaria vaccines before field studies are undertaken. Mathematical modeling using data from quantitative polymerase chain reaction (qPCR) parasitemia monitoring can discriminate between vaccine effects on the parasite's...

Descripción completa

Detalles Bibliográficos
Autores principales: Douglas, Alexander D., Edwards, Nick J., Duncan, Christopher J. A., Thompson, Fiona M., Sheehy, Susanne H., O'Hara, Geraldine A., Anagnostou, Nicholas, Walther, Michael, Webster, Daniel P., Dunachie, Susanna J., Porter, David W., Andrews, Laura, Gilbert, Sarah C., Draper, Simon J., Hill, Adrian V. S., Bejon, Philip
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3685228/
https://www.ncbi.nlm.nih.gov/pubmed/23570846
http://dx.doi.org/10.1093/infdis/jit156
Descripción
Sumario:Controlled human malaria infection is used to measure efficacy of candidate malaria vaccines before field studies are undertaken. Mathematical modeling using data from quantitative polymerase chain reaction (qPCR) parasitemia monitoring can discriminate between vaccine effects on the parasite's liver and blood stages. Uncertainty regarding the most appropriate modeling method hinders interpretation of such trials. We used qPCR data from 267 Plasmodium falciparum infections to compare linear, sine-wave, and normal-cumulative-density-function models. We find that the parameters estimated by these models are closely correlated, and their predictive accuracy for omitted data points was similar. We propose that future studies include the linear model.