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Evidence for Over-Dispersion in the Distribution of Clinical Malaria Episodes in Children

BACKGROUND: It may be assumed that patterns of clinical malaria in children of similar age under the same level of exposure would follow a Poisson distribution with no over-dispersion. Longitudinal studies that have been conducted over many years suggest that some children may experience more episod...

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Autores principales: Mwangi, Tabitha Wanja, Fegan, Gregory, Williams, Thomas Neil, Kinyanjui, Sam Muchina, Snow, Robert William, Marsh, Kevin
Formato: Texto
Lenguaje:English
Publicado: Public Library of Science 2008
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2374912/
https://www.ncbi.nlm.nih.gov/pubmed/18493319
http://dx.doi.org/10.1371/journal.pone.0002196
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author Mwangi, Tabitha Wanja
Fegan, Gregory
Williams, Thomas Neil
Kinyanjui, Sam Muchina
Snow, Robert William
Marsh, Kevin
author_facet Mwangi, Tabitha Wanja
Fegan, Gregory
Williams, Thomas Neil
Kinyanjui, Sam Muchina
Snow, Robert William
Marsh, Kevin
author_sort Mwangi, Tabitha Wanja
collection PubMed
description BACKGROUND: It may be assumed that patterns of clinical malaria in children of similar age under the same level of exposure would follow a Poisson distribution with no over-dispersion. Longitudinal studies that have been conducted over many years suggest that some children may experience more episodes of clinical malaria than would be expected. The aim of this study was to identify this group of children and investigate possible causes for this increased susceptibility. METHODOLOGY AND PRINCIPAL FINDINGS: Using Poisson regression, we chose a group of children whom we designated as ‘more susceptible’ to malaria from 373 children under 10 years of age who were followed up for between 3 to 5 years from 1998–2003. About 21% of the children were categorized as ‘more susceptible’ and although they contributed only 23% of the person-time of follow-up, they experienced 55% of total clinical malaria episodes. Children that were parasite negative at all cross-sectional survey were less likely to belong to this group [AOR = 0.09, (95% CI: 0.14–0.61), p = 0.001]. CONCLUSIONS AND SIGNIFICANCE: The pattern of clinical malaria episodes follows a negative binomial distribution. Use of lack of a clinical malaria episode in a certain time period as endpoints for intervention or immunological studies may not adequately distinguish groups who are more or less immune. It may be useful in such studies, in addition to the usual endpoint of the time to first episode, to include end points which take into account the total number of clinical episodes experienced per child.
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spelling pubmed-23749122008-05-21 Evidence for Over-Dispersion in the Distribution of Clinical Malaria Episodes in Children Mwangi, Tabitha Wanja Fegan, Gregory Williams, Thomas Neil Kinyanjui, Sam Muchina Snow, Robert William Marsh, Kevin PLoS One Research Article BACKGROUND: It may be assumed that patterns of clinical malaria in children of similar age under the same level of exposure would follow a Poisson distribution with no over-dispersion. Longitudinal studies that have been conducted over many years suggest that some children may experience more episodes of clinical malaria than would be expected. The aim of this study was to identify this group of children and investigate possible causes for this increased susceptibility. METHODOLOGY AND PRINCIPAL FINDINGS: Using Poisson regression, we chose a group of children whom we designated as ‘more susceptible’ to malaria from 373 children under 10 years of age who were followed up for between 3 to 5 years from 1998–2003. About 21% of the children were categorized as ‘more susceptible’ and although they contributed only 23% of the person-time of follow-up, they experienced 55% of total clinical malaria episodes. Children that were parasite negative at all cross-sectional survey were less likely to belong to this group [AOR = 0.09, (95% CI: 0.14–0.61), p = 0.001]. CONCLUSIONS AND SIGNIFICANCE: The pattern of clinical malaria episodes follows a negative binomial distribution. Use of lack of a clinical malaria episode in a certain time period as endpoints for intervention or immunological studies may not adequately distinguish groups who are more or less immune. It may be useful in such studies, in addition to the usual endpoint of the time to first episode, to include end points which take into account the total number of clinical episodes experienced per child. Public Library of Science 2008-05-21 /pmc/articles/PMC2374912/ /pubmed/18493319 http://dx.doi.org/10.1371/journal.pone.0002196 Text en Mwangi et al. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Mwangi, Tabitha Wanja
Fegan, Gregory
Williams, Thomas Neil
Kinyanjui, Sam Muchina
Snow, Robert William
Marsh, Kevin
Evidence for Over-Dispersion in the Distribution of Clinical Malaria Episodes in Children
title Evidence for Over-Dispersion in the Distribution of Clinical Malaria Episodes in Children
title_full Evidence for Over-Dispersion in the Distribution of Clinical Malaria Episodes in Children
title_fullStr Evidence for Over-Dispersion in the Distribution of Clinical Malaria Episodes in Children
title_full_unstemmed Evidence for Over-Dispersion in the Distribution of Clinical Malaria Episodes in Children
title_short Evidence for Over-Dispersion in the Distribution of Clinical Malaria Episodes in Children
title_sort evidence for over-dispersion in the distribution of clinical malaria episodes in children
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2374912/
https://www.ncbi.nlm.nih.gov/pubmed/18493319
http://dx.doi.org/10.1371/journal.pone.0002196
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