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Spatial Dependency of Tuberculosis Incidence in Taiwan

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  • In-Chan Ng
  • Tzai-Hung Wen
  • Jann-Yuan Wang
  • Chi-Tai Fang

Abstract

Tuberculosis (TB) disease can be caused by either recent transmission from infectious patients or reactivation of remote latent infection. Spatial dependency (correlation between nearby geographic areas) in tuberculosis incidence is a signature for chains of recent transmission with geographic diffusion. To understand the contribution of recent transmission in the TB endemic in Taiwan, where reactivation has been assumed to be the predominant mode of pathogenesis, we used spatial regression analysis to examine whether there was spatial dependency between the TB incidence in each township and in its neighbors. A total of 90,661 TB cases from 349 townships in 2003–2008 were included in this analysis. After adjusting for the effects of confounding socioeconomic variables, including the percentages of aboriginals and average household income, the results show that the spatial lag parameter remains positively significant (0.43, p

Suggested Citation

  • In-Chan Ng & Tzai-Hung Wen & Jann-Yuan Wang & Chi-Tai Fang, 2012. "Spatial Dependency of Tuberculosis Incidence in Taiwan," PLOS ONE, Public Library of Science, vol. 7(11), pages 1-7, November.
    • Handle: RePEc:plo:pone00:0050740
    DOI: 10.1371/journal.pone.0050740
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    Cited by:

    1. Yanguang Chen, 2020. "New framework of Getis-Ord’s indexes associating spatial autocorrelation with interaction," PLOS ONE, Public Library of Science, vol. 15(7), pages 1-25, July.
    2. Lan Li & Yuliang Xi & Fu Ren, 2016. "Spatio-Temporal Distribution Characteristics and Trajectory Similarity Analysis of Tuberculosis in Beijing, China," IJERPH, MDPI, vol. 13(3), pages 1-17, March.

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