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Different Mechanisms for Heterogeneity in Leprosy Susceptibility Can Explain Disease Clustering within Households
The epidemiology of leprosy is characterized by heterogeneity in susceptibility and clustering of disease within households. We aim to assess the extent to which different mechanisms for heterogeneity in leprosy susceptibility can explain household clustering as observed in a large study among conta...
Autores principales: | , , , , |
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Formato: | Texto |
Lenguaje: | English |
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Public Library of Science
2010
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2988824/ https://www.ncbi.nlm.nih.gov/pubmed/21124916 http://dx.doi.org/10.1371/journal.pone.0014061 |
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author | Fischer, Egil De Vlas, Sake Meima, Abraham Habbema, Dik Richardus, Jan |
author_facet | Fischer, Egil De Vlas, Sake Meima, Abraham Habbema, Dik Richardus, Jan |
author_sort | Fischer, Egil |
collection | PubMed |
description | The epidemiology of leprosy is characterized by heterogeneity in susceptibility and clustering of disease within households. We aim to assess the extent to which different mechanisms for heterogeneity in leprosy susceptibility can explain household clustering as observed in a large study among contacts of leprosy patients. We used a microsimulation model, parameterizing it with data from over 20,000 contacts of leprosy patients in Bangladesh. We simulated six mechanisms producing heterogeneity in susceptibility: (1) susceptibility was allocated at random to persons (i.e. no additional mechanism), (2) a household factor, (3, 4) a genetic factor (dominant or recessive), or (5, 6) half a household factor and half genetic. We further assumed that a fraction of 5%, 10%, and 20% of the population was susceptible, leading to a total of 18 scenarios to be fitted to the data. We obtained an acceptable fit for each of the six mechanisms, thereby excluding none of the possible underlying mechanisms for heterogeneity of susceptibility to leprosy. However, the distribution of leprosy among contacts did differ between mechanisms, and predicted trends in the declining leprosy case detection were dependent on the assumed mechanism, with genetic-based susceptibility showing the slowest decline. Clustering of leprosy within households is partially caused by an increased transmission within households independent of the leprosy susceptibility mechanism. Even a large and detailed data set on contacts of leprosy patients could not unequivocally reveal the mechanism most likely responsible for heterogeneity in leprosy susceptibility. |
format | Text |
id | pubmed-2988824 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2010 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-29888242010-12-01 Different Mechanisms for Heterogeneity in Leprosy Susceptibility Can Explain Disease Clustering within Households Fischer, Egil De Vlas, Sake Meima, Abraham Habbema, Dik Richardus, Jan PLoS One Research Article The epidemiology of leprosy is characterized by heterogeneity in susceptibility and clustering of disease within households. We aim to assess the extent to which different mechanisms for heterogeneity in leprosy susceptibility can explain household clustering as observed in a large study among contacts of leprosy patients. We used a microsimulation model, parameterizing it with data from over 20,000 contacts of leprosy patients in Bangladesh. We simulated six mechanisms producing heterogeneity in susceptibility: (1) susceptibility was allocated at random to persons (i.e. no additional mechanism), (2) a household factor, (3, 4) a genetic factor (dominant or recessive), or (5, 6) half a household factor and half genetic. We further assumed that a fraction of 5%, 10%, and 20% of the population was susceptible, leading to a total of 18 scenarios to be fitted to the data. We obtained an acceptable fit for each of the six mechanisms, thereby excluding none of the possible underlying mechanisms for heterogeneity of susceptibility to leprosy. However, the distribution of leprosy among contacts did differ between mechanisms, and predicted trends in the declining leprosy case detection were dependent on the assumed mechanism, with genetic-based susceptibility showing the slowest decline. Clustering of leprosy within households is partially caused by an increased transmission within households independent of the leprosy susceptibility mechanism. Even a large and detailed data set on contacts of leprosy patients could not unequivocally reveal the mechanism most likely responsible for heterogeneity in leprosy susceptibility. Public Library of Science 2010-11-19 /pmc/articles/PMC2988824/ /pubmed/21124916 http://dx.doi.org/10.1371/journal.pone.0014061 Text en Fischer 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 Fischer, Egil De Vlas, Sake Meima, Abraham Habbema, Dik Richardus, Jan Different Mechanisms for Heterogeneity in Leprosy Susceptibility Can Explain Disease Clustering within Households |
title | Different Mechanisms for Heterogeneity in Leprosy Susceptibility Can Explain Disease Clustering within Households |
title_full | Different Mechanisms for Heterogeneity in Leprosy Susceptibility Can Explain Disease Clustering within Households |
title_fullStr | Different Mechanisms for Heterogeneity in Leprosy Susceptibility Can Explain Disease Clustering within Households |
title_full_unstemmed | Different Mechanisms for Heterogeneity in Leprosy Susceptibility Can Explain Disease Clustering within Households |
title_short | Different Mechanisms for Heterogeneity in Leprosy Susceptibility Can Explain Disease Clustering within Households |
title_sort | different mechanisms for heterogeneity in leprosy susceptibility can explain disease clustering within households |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2988824/ https://www.ncbi.nlm.nih.gov/pubmed/21124916 http://dx.doi.org/10.1371/journal.pone.0014061 |
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