Cargando…
Combining molecular typing and spatial pattern analysis to identify areas of high tuberculosis transmission in a moderate-incidence county in Taiwan
In total, 303 randomly selected clinical Mycobacterium tuberculosis (MTB) isolates from 303 patients (collected January to December 2012) in central Taiwan were examined. The major lineages found were Beijing (N = 114, 37.62%), Haarlem (N = 76, 25.08%) and East African–Indian (EAI) (N = 42, 13.86%)....
Autores principales: | , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2017
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5511213/ https://www.ncbi.nlm.nih.gov/pubmed/28710410 http://dx.doi.org/10.1038/s41598-017-05674-6 |
_version_ | 1783250295702159360 |
---|---|
author | Chen, Yih-Yuan Chang, Jia-Ru Wu, Chih-Da Yeh, Yen-Po Yang, Shiu-Ju Hsu, Chih-Hao Lin, Ming-Ching Tsai, Ching-Fang Lin, Ming-Shian Su, Ih-Jen Dou, Horng-Yunn |
author_facet | Chen, Yih-Yuan Chang, Jia-Ru Wu, Chih-Da Yeh, Yen-Po Yang, Shiu-Ju Hsu, Chih-Hao Lin, Ming-Ching Tsai, Ching-Fang Lin, Ming-Shian Su, Ih-Jen Dou, Horng-Yunn |
author_sort | Chen, Yih-Yuan |
collection | PubMed |
description | In total, 303 randomly selected clinical Mycobacterium tuberculosis (MTB) isolates from 303 patients (collected January to December 2012) in central Taiwan were examined. The major lineages found were Beijing (N = 114, 37.62%), Haarlem (N = 76, 25.08%) and East African–Indian (EAI) (N = 42, 13.86%). Notably, younger persons (≤30 years old) were 6.58 times more likely to be infected with a Beijing genotype compared to older persons (>70 years) (p < 0.05). Combining molecular typing methods and geographical information system (GIS) analysis, we uncovered a twofold higher incidence of Beijing strains in a hotspot area (33%) compared to non-hotspot areas (17%). By 24 MIRU-VNTR typing, persons in clustered groups were 1.96 times more likely to be infected with a Beijing strain compared with non-clustered persons, suggesting recent spread and emergence of MTB. Finally, we observed a trend in which TB incidence increased as the density/concentration of analyzed environmental factors increased, suggesting that environmental factors are associated with TB transmission; however, only population density was found to be significantly associated with increased risk of TB (p < 0.05). Molecular typing methods combined with spatial analysis suggest possible TB transmission. Early intervention to interrupt transmission may be most effective if targeted to hot zones of TB. |
format | Online Article Text |
id | pubmed-5511213 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-55112132017-07-17 Combining molecular typing and spatial pattern analysis to identify areas of high tuberculosis transmission in a moderate-incidence county in Taiwan Chen, Yih-Yuan Chang, Jia-Ru Wu, Chih-Da Yeh, Yen-Po Yang, Shiu-Ju Hsu, Chih-Hao Lin, Ming-Ching Tsai, Ching-Fang Lin, Ming-Shian Su, Ih-Jen Dou, Horng-Yunn Sci Rep Article In total, 303 randomly selected clinical Mycobacterium tuberculosis (MTB) isolates from 303 patients (collected January to December 2012) in central Taiwan were examined. The major lineages found were Beijing (N = 114, 37.62%), Haarlem (N = 76, 25.08%) and East African–Indian (EAI) (N = 42, 13.86%). Notably, younger persons (≤30 years old) were 6.58 times more likely to be infected with a Beijing genotype compared to older persons (>70 years) (p < 0.05). Combining molecular typing methods and geographical information system (GIS) analysis, we uncovered a twofold higher incidence of Beijing strains in a hotspot area (33%) compared to non-hotspot areas (17%). By 24 MIRU-VNTR typing, persons in clustered groups were 1.96 times more likely to be infected with a Beijing strain compared with non-clustered persons, suggesting recent spread and emergence of MTB. Finally, we observed a trend in which TB incidence increased as the density/concentration of analyzed environmental factors increased, suggesting that environmental factors are associated with TB transmission; however, only population density was found to be significantly associated with increased risk of TB (p < 0.05). Molecular typing methods combined with spatial analysis suggest possible TB transmission. Early intervention to interrupt transmission may be most effective if targeted to hot zones of TB. Nature Publishing Group UK 2017-07-14 /pmc/articles/PMC5511213/ /pubmed/28710410 http://dx.doi.org/10.1038/s41598-017-05674-6 Text en © The Author(s) 2017 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Chen, Yih-Yuan Chang, Jia-Ru Wu, Chih-Da Yeh, Yen-Po Yang, Shiu-Ju Hsu, Chih-Hao Lin, Ming-Ching Tsai, Ching-Fang Lin, Ming-Shian Su, Ih-Jen Dou, Horng-Yunn Combining molecular typing and spatial pattern analysis to identify areas of high tuberculosis transmission in a moderate-incidence county in Taiwan |
title | Combining molecular typing and spatial pattern analysis to identify areas of high tuberculosis transmission in a moderate-incidence county in Taiwan |
title_full | Combining molecular typing and spatial pattern analysis to identify areas of high tuberculosis transmission in a moderate-incidence county in Taiwan |
title_fullStr | Combining molecular typing and spatial pattern analysis to identify areas of high tuberculosis transmission in a moderate-incidence county in Taiwan |
title_full_unstemmed | Combining molecular typing and spatial pattern analysis to identify areas of high tuberculosis transmission in a moderate-incidence county in Taiwan |
title_short | Combining molecular typing and spatial pattern analysis to identify areas of high tuberculosis transmission in a moderate-incidence county in Taiwan |
title_sort | combining molecular typing and spatial pattern analysis to identify areas of high tuberculosis transmission in a moderate-incidence county in taiwan |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5511213/ https://www.ncbi.nlm.nih.gov/pubmed/28710410 http://dx.doi.org/10.1038/s41598-017-05674-6 |
work_keys_str_mv | AT chenyihyuan combiningmoleculartypingandspatialpatternanalysistoidentifyareasofhightuberculosistransmissioninamoderateincidencecountyintaiwan AT changjiaru combiningmoleculartypingandspatialpatternanalysistoidentifyareasofhightuberculosistransmissioninamoderateincidencecountyintaiwan AT wuchihda combiningmoleculartypingandspatialpatternanalysistoidentifyareasofhightuberculosistransmissioninamoderateincidencecountyintaiwan AT yehyenpo combiningmoleculartypingandspatialpatternanalysistoidentifyareasofhightuberculosistransmissioninamoderateincidencecountyintaiwan AT yangshiuju combiningmoleculartypingandspatialpatternanalysistoidentifyareasofhightuberculosistransmissioninamoderateincidencecountyintaiwan AT hsuchihhao combiningmoleculartypingandspatialpatternanalysistoidentifyareasofhightuberculosistransmissioninamoderateincidencecountyintaiwan AT linmingching combiningmoleculartypingandspatialpatternanalysistoidentifyareasofhightuberculosistransmissioninamoderateincidencecountyintaiwan AT tsaichingfang combiningmoleculartypingandspatialpatternanalysistoidentifyareasofhightuberculosistransmissioninamoderateincidencecountyintaiwan AT linmingshian combiningmoleculartypingandspatialpatternanalysistoidentifyareasofhightuberculosistransmissioninamoderateincidencecountyintaiwan AT suihjen combiningmoleculartypingandspatialpatternanalysistoidentifyareasofhightuberculosistransmissioninamoderateincidencecountyintaiwan AT douhorngyunn combiningmoleculartypingandspatialpatternanalysistoidentifyareasofhightuberculosistransmissioninamoderateincidencecountyintaiwan |