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Modelling heterogeneity in host susceptibility to tuberculosis and its effect on public health interventions
A tuberculosis (TB) model that accounts for heterogeneity in host susceptibility to tuberculosis is proposed, with the aim of investigating the implications this may have for the effectiveness of public health interventions. The model examines the possibility that recovered individuals treated from...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6235601/ https://www.ncbi.nlm.nih.gov/pubmed/30427891 http://dx.doi.org/10.1371/journal.pone.0206603 |
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author | Wangari, Isaac Mwangi Trauer, James Stone, Lewi |
author_facet | Wangari, Isaac Mwangi Trauer, James Stone, Lewi |
author_sort | Wangari, Isaac Mwangi |
collection | PubMed |
description | A tuberculosis (TB) model that accounts for heterogeneity in host susceptibility to tuberculosis is proposed, with the aim of investigating the implications this may have for the effectiveness of public health interventions. The model examines the possibility that recovered individuals treated from active TB and individuals treated with preventive therapy acquire different levels of immunity. This contrasts with recent studies that assume the two cohorts acquire the same level of immunity, and therefore both groups are reinfected at the same rate. The analysis presented here examines the impact of this assumption when designing intervention strategies. Comparison of reinfection rates between cohorts treated with preventive therapy and recovered individuals who were previously treated for active TB provides important epidemiological insights. It is found that the reinfection rate of the cohort treated with preventive therapy is the one that plays the key role in qualitative changes in TB dynamics. By contrast, the reinfection rate of recovered individuals (previously treated from active TB) plays a minor role. Moreover, the study shows that preventive treatment of individuals during early latency is always beneficial regardless of the level of susceptibility to reinfection. Further, if patients have greater immunity following treatment for late latent infection, then treatment is again beneficial. However, if susceptibility increases following treatment for late latent infection, the effect of treatment depends on the epidemiological setting. That is: (i) in (very) low burden settings, the effect on reactivation predominates and the burden declines with treatment; (ii) in moderate to high burden settings the effect of reinfection predominates and burden increases with treatment. The effect is most dominant between the two reinfection thresholds, RT2 and RT1, respectively associated with individuals being treated with preventive therapy and individuals with untreated late latent TB infection. |
format | Online Article Text |
id | pubmed-6235601 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-62356012018-12-01 Modelling heterogeneity in host susceptibility to tuberculosis and its effect on public health interventions Wangari, Isaac Mwangi Trauer, James Stone, Lewi PLoS One Research Article A tuberculosis (TB) model that accounts for heterogeneity in host susceptibility to tuberculosis is proposed, with the aim of investigating the implications this may have for the effectiveness of public health interventions. The model examines the possibility that recovered individuals treated from active TB and individuals treated with preventive therapy acquire different levels of immunity. This contrasts with recent studies that assume the two cohorts acquire the same level of immunity, and therefore both groups are reinfected at the same rate. The analysis presented here examines the impact of this assumption when designing intervention strategies. Comparison of reinfection rates between cohorts treated with preventive therapy and recovered individuals who were previously treated for active TB provides important epidemiological insights. It is found that the reinfection rate of the cohort treated with preventive therapy is the one that plays the key role in qualitative changes in TB dynamics. By contrast, the reinfection rate of recovered individuals (previously treated from active TB) plays a minor role. Moreover, the study shows that preventive treatment of individuals during early latency is always beneficial regardless of the level of susceptibility to reinfection. Further, if patients have greater immunity following treatment for late latent infection, then treatment is again beneficial. However, if susceptibility increases following treatment for late latent infection, the effect of treatment depends on the epidemiological setting. That is: (i) in (very) low burden settings, the effect on reactivation predominates and the burden declines with treatment; (ii) in moderate to high burden settings the effect of reinfection predominates and burden increases with treatment. The effect is most dominant between the two reinfection thresholds, RT2 and RT1, respectively associated with individuals being treated with preventive therapy and individuals with untreated late latent TB infection. Public Library of Science 2018-11-14 /pmc/articles/PMC6235601/ /pubmed/30427891 http://dx.doi.org/10.1371/journal.pone.0206603 Text en © 2018 Wangari 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 (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Wangari, Isaac Mwangi Trauer, James Stone, Lewi Modelling heterogeneity in host susceptibility to tuberculosis and its effect on public health interventions |
title | Modelling heterogeneity in host susceptibility to tuberculosis and its effect on public health interventions |
title_full | Modelling heterogeneity in host susceptibility to tuberculosis and its effect on public health interventions |
title_fullStr | Modelling heterogeneity in host susceptibility to tuberculosis and its effect on public health interventions |
title_full_unstemmed | Modelling heterogeneity in host susceptibility to tuberculosis and its effect on public health interventions |
title_short | Modelling heterogeneity in host susceptibility to tuberculosis and its effect on public health interventions |
title_sort | modelling heterogeneity in host susceptibility to tuberculosis and its effect on public health interventions |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6235601/ https://www.ncbi.nlm.nih.gov/pubmed/30427891 http://dx.doi.org/10.1371/journal.pone.0206603 |
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