Association between ambient air pollutants and upper respiratory tract infection and pneumonia disease burden in Thailand from 2000 to 2022: a high frequency ecological analysis

Abstract Background A pertinent risk factor of upper respiratory tract infections (URTIs) and pneumonia is the exposure to major ambient air pollutants, with short term exposures to different air pollutants being shown to exacerbate several respiratory conditions. Methods Here, using disease surveil...

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Main Authors: Esther Li Wen Choo, A. Janhavi, Joel Ruihan Koo, Steve H. L. Yim, Borame L Dickens, Jue Tao Lim
Format: Article
Language:English
Published: BMC 2023-06-01
Series:BMC Infectious Diseases
Subjects:
Online Access:https://doi.org/10.1186/s12879-023-08185-0
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author Esther Li Wen Choo
A. Janhavi
Joel Ruihan Koo
Steve H. L. Yim
Borame L Dickens
Jue Tao Lim
author_facet Esther Li Wen Choo
A. Janhavi
Joel Ruihan Koo
Steve H. L. Yim
Borame L Dickens
Jue Tao Lim
author_sort Esther Li Wen Choo
collection DOAJ
description Abstract Background A pertinent risk factor of upper respiratory tract infections (URTIs) and pneumonia is the exposure to major ambient air pollutants, with short term exposures to different air pollutants being shown to exacerbate several respiratory conditions. Methods Here, using disease surveillance data comprising of reported disease case counts at the province level, high frequency ambient air pollutant and climate data in Thailand, we delineated the association between ambient air pollution and URTI/Pneumonia burden in Thailand from 2000 – 2022. We developed mixed-data sampling methods and estimation strategies to account for the high frequency nature of ambient air pollutant concentration data. This was used to evaluate the effects past concentrations of fine particulate matter (PM2.5), sulphur dioxide (SO2), and carbon monoxide (CO) and the number of disease case count, after controlling for the confounding meteorological and disease factors. Results Across provinces, we found that past increases in CO, SO2, and PM2.5 concentration were associated to changes in URTI and pneumonia case counts, but the direction of their association mixed. The contributive burden of past ambient air pollutants on contemporaneous disease burden was also found to be larger than meteorological factors, and comparable to that of disease related factors. Conclusions By developing a novel statistical methodology, we prevented subjective variable selection and discretization bias to detect associations, and provided a robust estimate on the effect of ambient air pollutants on URTI and pneumonia burden over a large spatial scale.
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spelling doaj.art-6f45a6cc89514139b3a6222d10fa8d1d2023-06-11T11:06:38ZengBMCBMC Infectious Diseases1471-23342023-06-0123111310.1186/s12879-023-08185-0Association between ambient air pollutants and upper respiratory tract infection and pneumonia disease burden in Thailand from 2000 to 2022: a high frequency ecological analysisEsther Li Wen Choo0A. Janhavi1Joel Ruihan Koo2Steve H. L. Yim3Borame L Dickens4Jue Tao Lim5Saw Swee Hock School of Public Health, National University of SingaporeSaw Swee Hock School of Public Health, National University of SingaporeSaw Swee Hock School of Public Health, National University of SingaporeLee Kong Chian School of Medicine, Nanyang Technological UniversitySaw Swee Hock School of Public Health, National University of SingaporeSaw Swee Hock School of Public Health, National University of SingaporeAbstract Background A pertinent risk factor of upper respiratory tract infections (URTIs) and pneumonia is the exposure to major ambient air pollutants, with short term exposures to different air pollutants being shown to exacerbate several respiratory conditions. Methods Here, using disease surveillance data comprising of reported disease case counts at the province level, high frequency ambient air pollutant and climate data in Thailand, we delineated the association between ambient air pollution and URTI/Pneumonia burden in Thailand from 2000 – 2022. We developed mixed-data sampling methods and estimation strategies to account for the high frequency nature of ambient air pollutant concentration data. This was used to evaluate the effects past concentrations of fine particulate matter (PM2.5), sulphur dioxide (SO2), and carbon monoxide (CO) and the number of disease case count, after controlling for the confounding meteorological and disease factors. Results Across provinces, we found that past increases in CO, SO2, and PM2.5 concentration were associated to changes in URTI and pneumonia case counts, but the direction of their association mixed. The contributive burden of past ambient air pollutants on contemporaneous disease burden was also found to be larger than meteorological factors, and comparable to that of disease related factors. Conclusions By developing a novel statistical methodology, we prevented subjective variable selection and discretization bias to detect associations, and provided a robust estimate on the effect of ambient air pollutants on URTI and pneumonia burden over a large spatial scale.https://doi.org/10.1186/s12879-023-08185-0Upper respiratory tract infectionsPneumoniaAmbient air pollutantsWeatherEnvironmental epidemiologyMixed data sampling methods
spellingShingle Esther Li Wen Choo
A. Janhavi
Joel Ruihan Koo
Steve H. L. Yim
Borame L Dickens
Jue Tao Lim
Association between ambient air pollutants and upper respiratory tract infection and pneumonia disease burden in Thailand from 2000 to 2022: a high frequency ecological analysis
BMC Infectious Diseases
Upper respiratory tract infections
Pneumonia
Ambient air pollutants
Weather
Environmental epidemiology
Mixed data sampling methods
title Association between ambient air pollutants and upper respiratory tract infection and pneumonia disease burden in Thailand from 2000 to 2022: a high frequency ecological analysis
title_full Association between ambient air pollutants and upper respiratory tract infection and pneumonia disease burden in Thailand from 2000 to 2022: a high frequency ecological analysis
title_fullStr Association between ambient air pollutants and upper respiratory tract infection and pneumonia disease burden in Thailand from 2000 to 2022: a high frequency ecological analysis
title_full_unstemmed Association between ambient air pollutants and upper respiratory tract infection and pneumonia disease burden in Thailand from 2000 to 2022: a high frequency ecological analysis
title_short Association between ambient air pollutants and upper respiratory tract infection and pneumonia disease burden in Thailand from 2000 to 2022: a high frequency ecological analysis
title_sort association between ambient air pollutants and upper respiratory tract infection and pneumonia disease burden in thailand from 2000 to 2022 a high frequency ecological analysis
topic Upper respiratory tract infections
Pneumonia
Ambient air pollutants
Weather
Environmental epidemiology
Mixed data sampling methods
url https://doi.org/10.1186/s12879-023-08185-0
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