Association of ambient PM2.5 concentration with tuberculosis reactivation diseases—an integrated spatio-temporal analysis

Leonia Hiu Wan Lau, Ngai Sze Wong, Chi Chiu Leung, Chi Kuen Chan, Lai bun Tai, Alexis Kai Hon Lau, Changqing Lin, Shui Shan Lee*

*Corresponding author for this work

Research output: Contribution to journalJournal Articlepeer-review

1 Citation (Scopus)

Abstract

Objectives: While the plausible role of ambient particulate matter (PM)2.5 exposure in tuberculosis (TB) reactivation has been inferred from in vitro experiments, epidemiologic evidence is lacking. We examined the relationship between ambient PM2.5 concentration and pulmonary TB (PTB) in an intermediate TB endemicity city dominated by reactivation diseases. Methods: Spatio-temporal analyses were performed on TB notification data and satellite-based annual mean PM2.5 concentration in Hong Kong. A total of 52,623 PTB cases from 2005-2018 were mapped to over 400 subdistrict units. PTB standardized notification ratio by population subgroups (elderly aged ≥65, middle-aged 50-64, and young adults aged 15-49) was calculated and correlated with ambient PM2.5 concentration. Results: Significant associations were detected between high ambient PM2.5 concentration and increased PTB among the elderly. Such associations were stable to the adjustment for socio-economic factors and other criteria pollutants. Unstable patterns of association between PM2.5 and PTB risk were observed in the middle-aged population and young adults, for which the observed associations were confounded by other criteria pollutants. Conclusion: With elderly PTB almost exclusively attributable to reactivation, our findings suggested that increased TB reactivations have occurred in association with high ambient PM2.5 exposure, lending support to preventive measures that minimize PM2.5-related TB reactivation.

Original languageEnglish
Pages (from-to)145-152
Number of pages8
JournalIJID Regions
Volume8
DOIs
Publication statusPublished - Sept 2023

Bibliographical note

Publisher Copyright:
© 2023 The Authors

Keywords

  • Ambient PM
  • Small area spatio-temporal analysis
  • Tuberculosis
  • Tuberculosis reactivation

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