Dataset Information

Association of ambient PM_2.5 concentration with tuberculosis reactivation diseases-an integrated spatio-temporal analysis.

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 PM_2.5 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 PM_2.5 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 PM_2.5 concentration.

Results

Significant associations were detected between high ambient PM_2.5 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 PM_2.5 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 PM_2.5 exposure, lending support to preventive measures that minimize PM_2.5-related TB reactivation.

SUBMITTER: Lau LHW

PROVIDER: S-EPMC10477485 | biostudies-literature | 2023 Sep

REPOSITORIES: biostudies-literature

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Publications

Association of ambient PM<sub>2.5</sub> concentration with tuberculosis reactivation diseases-an integrated spatio-temporal analysis.

Lau Leonia Hiu Wan LHW Wong Ngai Sze NS Leung Chi Chiu CC Chan Chi Kuen CK Tai Lai-Bun LB Lau Alexis Kai Hon AKH Lin Changqing C Shan Lee Shui S

IJID regions 20230810

<h4>Objectives</h4>While the plausible role of ambient particulate matter (PM)<sub>2.5</sub> exposure in tuberculosis (TB) reactivation has been inferred from <i>in vitro</i> experiments, epidemiologic evidence is lacking. We examined the relationship between ambient PM<sub>2.5</sub> concentration and pulmonary TB (PTB) in an intermediate TB endemicity city dominated by reactivation diseases.<h4>Methods</h4>Spatio-temporal analyses were performed on TB notification data and satellite-based annua ...[more]

PMID: 37674566

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Project description:Rapid urbanization and consuming lifestyles have intensified air pollution in urban areas. Air pollution in megacities has imposed severe environmental damages to human health. Proper management of the issue necessitates identification of the share of emission sources. Therefore, numerous research works have studied the apportionment of the total emissions and observed concentrations among different emissions sources. In this research, a comprehensive review is conducted to compare the source apportioning results for ambient air PM2.5 in the megacity of Tehran, the capital of Iran. One hundred seventy-seven pieces of scientific literatures, published between 2005 and 2021, were reviewed. The reviewed research are categorized according to the source apportioning methods: emission inventory (EI), source apportionment (SA), and sensitivity analysis of the concentration to the emission sources (SNA). The possible reasons for inconsistency among the results are discussed according to the scope of the studies and the implemented methods. Although 85% of the reviewed original estimates identify that mobile sources contribute to more thant 60% of Tehran air pollution, the distribution of vehicle types and modes are clearly inconsistent among the EI studies. Our review suggests that consistent results in the SA studies in different locations in central Tehran may indicate the reliability of this method for the identification of the type and share of the emission sources. In contrast, differences among the geographical and sectoral coverage of the EI studies and the disparities among the emission factors and activity data have caused significant deviations among the reviewed EI studies. Also, it is shown that the results of the SNA studies are highly dependent on the categorization type, model capabilities and EI presumptions and data input to the pollutant dispersion modelings. As a result, integrated source apportioning in which the three methods complement each other's results is necessary for consistent air pollution management in megacities.Supplementary informationThe online version contains supplementary material available at 10.1007/s40201-023-00855-0.

Dataset Information

Association of ambient PM_2.5 concentration with tuberculosis reactivation diseases-an integrated spatio-temporal analysis.

Objectives

Methods

Results

Conclusion

Publications

Association of ambient PM<sub>2.5</sub> concentration with tuberculosis reactivation diseases-an integrated spatio-temporal analysis.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets

Dataset Information

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

Objectives

Methods

Results

Conclusion

Publications

Association of ambient PM<sub>2.5</sub> concentration with tuberculosis reactivation diseases-an integrated spatio-temporal analysis.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets

Association of ambient PM_2.5 concentration with tuberculosis reactivation diseases-an integrated spatio-temporal analysis.