An exploratory study to examine abundance of PM2.5 and associated disease burden in Bangladesh
This study examined selected disease burdens in Bangladesh associated with particulate matter exposure using gridded population and PM2.5 data between 2001 and 2019. The Global Exposure Mortality Model (GEMM) was used to determine hazard ratio (HR) and disease specific mortality. Besides, trend of P...
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| Main Authors: | , , , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
2022
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| Subjects: | |
| Online Access: | http://eprints.utm.my/id/eprint/98508/1/ShamsuddinShahid2022_AnExploratoryStudytoExamineAbundanceofPM2.5.pdf http://eprints.utm.my/id/eprint/98508/ http://dx.doi.org/10.5194/isprs-Annals-V-3-2022-627-2022 |
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| Summary: | This study examined selected disease burdens in Bangladesh associated with particulate matter exposure using gridded population and PM2.5 data between 2001 and 2019. The Global Exposure Mortality Model (GEMM) was used to determine hazard ratio (HR) and disease specific mortality. Besides, trend of PM2.5 and selected diseases were evaluated. Results revealed that strong seasonality existed in PM2.5 with winter exhibited maximum concentration. The trend assessment showed PM2.5 was increasing over time. Among five diseases assessed, LRI was most sensitive to an increase of PM2.5, followed by IHD, LC, CEV and COPD. Excess mortality was found to be elevating because of PM2.5, particularly in major cities. This study could be useful in advancing research in the disease burden attributable to ambient air pollution in Bangladesh. |
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