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  4. Spatial cluster analysis of Mycobacterium kansasii infection in Kaohsiung, Taiwan
 
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Spatial cluster analysis of Mycobacterium kansasii infection in Kaohsiung, Taiwan

台灣高雄市堪薩斯分枝桿菌之空間分析

Journal
Taiwan Journal of Public Health
Journal Volume
40
Journal Issue
6
Pages
713
Date Issued
2021-12-01
Author(s)
Liu, Bo Chen
Huang, Hung Ling
Chan, Ta Chien
Lee, Shin Jung
Lin, Jiun Nong
Lee, Chen Hsiang
JANN-YUAN WANG  
Lu, Po Liang
HSIEN-HO LIN  
DOI
10.6288/TJPH.202112_40(6).110098
URI
https://scholars.lib.ntu.edu.tw/handle/123456789/614512
URL
https://api.elsevier.com/content/abstract/scopus_id/85131955018
Abstract
Owing to the high virulence of mycobacterium kansasii and the increasing incidence in Kaohsiung, the present study aimed to analyze the spatial pattern of mycobacterium kansasii infection in Kaohsiung. Methods: We applied the Moran's I to estimate the spatial pattern of incidence risk and to identify the cluster core. The core of the cluster was confirmed by the spatial relative risk function with contouring an infection hotspot that the location of the comparative group were randomly sampled from the address database. Results: The positive and significant spatial autocorrelation based on the incidence risk of the basic statistical area was illustrated by the significance map with the cluster core locating in Xiaogang district. The spatial relative risk function indicated two hotspots, one located across Qianjin district and Yancheng district, and the other mainly sat in Xiaogang district. All the significant spatial relative risk ranged from 1.54 to 2.27. Conclusions: Two hotspots indicated that the mycobacterium kansasii infection not homogeneously distributes in Kaohsiung City. Infection sources may have specific spatial patterns, yet the susceptible host probably has other tendencies too. Therefore, our results should be interpreted as a combination of all factors related to this infection.,,,,.
Subjects
adaptive kernel density estimation | Moran's I | Mycobacterium kansasii | Nontuberculous mycobacterium | spatial relative risk function
Type
journal article

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