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Modelling malaria pathogenesis

Almost 20 years after the development of models of malaria pathogenesis began, we are beyond the ‘proof-of-concept’ phase and these models are no longer abstract mathematical exercises. They have refined our knowledge of within-host processes, and have brought insights that could not easily have bee...

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Detalles Bibliográficos
Autores principales: Mideo, Nicole, Day, Troy, Read, Andrew F
Formato: Texto
Lenguaje:English
Publicado: Blackwell Publishing Ltd 2008
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2613259/
https://www.ncbi.nlm.nih.gov/pubmed/18647174
http://dx.doi.org/10.1111/j.1462-5822.2008.01208.x
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author Mideo, Nicole
Day, Troy
Read, Andrew F
author_facet Mideo, Nicole
Day, Troy
Read, Andrew F
author_sort Mideo, Nicole
collection PubMed
description Almost 20 years after the development of models of malaria pathogenesis began, we are beyond the ‘proof-of-concept’ phase and these models are no longer abstract mathematical exercises. They have refined our knowledge of within-host processes, and have brought insights that could not easily have been obtained from experimentation alone. There is much potential that remains to be realized, however, both in terms of informing the design of interventions and health policy, and in terms of addressing lingering questions about the basic biology of malaria. Recent research has begun to iterate theory and data in a much more comprehensive way, and the use of statistical techniques for model fitting and comparison offers a promising approach for providing a quantitative understanding of the pathogenesis of such a complex disease.
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spelling pubmed-26132592009-01-12 Modelling malaria pathogenesis Mideo, Nicole Day, Troy Read, Andrew F Cell Microbiol Microreview Almost 20 years after the development of models of malaria pathogenesis began, we are beyond the ‘proof-of-concept’ phase and these models are no longer abstract mathematical exercises. They have refined our knowledge of within-host processes, and have brought insights that could not easily have been obtained from experimentation alone. There is much potential that remains to be realized, however, both in terms of informing the design of interventions and health policy, and in terms of addressing lingering questions about the basic biology of malaria. Recent research has begun to iterate theory and data in a much more comprehensive way, and the use of statistical techniques for model fitting and comparison offers a promising approach for providing a quantitative understanding of the pathogenesis of such a complex disease. Blackwell Publishing Ltd 2008-10 /pmc/articles/PMC2613259/ /pubmed/18647174 http://dx.doi.org/10.1111/j.1462-5822.2008.01208.x Text en © 2008 The Authors Journal compilation © 2008 Blackwell Publishing Ltd
spellingShingle Microreview
Mideo, Nicole
Day, Troy
Read, Andrew F
Modelling malaria pathogenesis
title Modelling malaria pathogenesis
title_full Modelling malaria pathogenesis
title_fullStr Modelling malaria pathogenesis
title_full_unstemmed Modelling malaria pathogenesis
title_short Modelling malaria pathogenesis
title_sort modelling malaria pathogenesis
topic Microreview
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2613259/
https://www.ncbi.nlm.nih.gov/pubmed/18647174
http://dx.doi.org/10.1111/j.1462-5822.2008.01208.x
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