Combining molecular typing and spatial pattern analysis to identify areas of high tuberculosis transmission in a moderate-incidence county in Taiwan

Abstract 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,...

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Autores principales:	Yih-Yuan Chen, Jia-Ru Chang, Chih-Da Wu, Yen-Po Yeh, Shiu-Ju Yang, Chih-Hao Hsu, Ming-Ching Lin, Ching-Fang Tsai, Ming-Shian Lin, Ih-Jen Su, Horng-Yunn Dou
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2017
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/47b58431331c4b0db29d3d7135f253de
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spelling	oai:doaj.org-article:47b58431331c4b0db29d3d7135f253de2021-12-02T15:05:10ZCombining molecular typing and spatial pattern analysis to identify areas of high tuberculosis transmission in a moderate-incidence county in Taiwan10.1038/s41598-017-05674-62045-2322https://doaj.org/article/47b58431331c4b0db29d3d7135f253de2017-07-01T00:00:00Zhttps://doi.org/10.1038/s41598-017-05674-6https://doaj.org/toc/2045-2322Abstract 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.Yih-Yuan ChenJia-Ru ChangChih-Da WuYen-Po YehShiu-Ju YangChih-Hao HsuMing-Ching LinChing-Fang TsaiMing-Shian LinIh-Jen SuHorng-Yunn DouNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 7, Iss 1, Pp 1-8 (2017)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Yih-Yuan Chen Jia-Ru Chang Chih-Da Wu Yen-Po Yeh Shiu-Ju Yang Chih-Hao Hsu Ming-Ching Lin Ching-Fang Tsai Ming-Shian Lin Ih-Jen Su Horng-Yunn Dou Combining molecular typing and spatial pattern analysis to identify areas of high tuberculosis transmission in a moderate-incidence county in Taiwan
description	Abstract 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	article
author	Yih-Yuan Chen Jia-Ru Chang Chih-Da Wu Yen-Po Yeh Shiu-Ju Yang Chih-Hao Hsu Ming-Ching Lin Ching-Fang Tsai Ming-Shian Lin Ih-Jen Su Horng-Yunn Dou
author_facet	Yih-Yuan Chen Jia-Ru Chang Chih-Da Wu Yen-Po Yeh Shiu-Ju Yang Chih-Hao Hsu Ming-Ching Lin Ching-Fang Tsai Ming-Shian Lin Ih-Jen Su Horng-Yunn Dou
author_sort	Yih-Yuan Chen
title	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_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_sort	combining molecular typing and spatial pattern analysis to identify areas of high tuberculosis transmission in a moderate-incidence county in taiwan
publisher	Nature Portfolio
publishDate	2017
url	https://doaj.org/article/47b58431331c4b0db29d3d7135f253de
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Combining molecular typing and spatial pattern analysis to identify areas of high tuberculosis transmission in a moderate-incidence county in Taiwan

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