Spatial patterns of lower respiratory tract infections and their association with fine particulate matter

Abstract This study aimed to identify the spatial patterns of lower respiratory tract infections (LRIs) and their association with fine particulate matter (PM2.5). The disability-adjusted life year (DALY) database was used to represent the burden each country experiences as a result of LRIs. PM2.5 d...

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Autores principales:	Aji Kusumaning Asri, Wen-Chi Pan, Hsiao-Yun Lee, Huey-Jen Su, Chih-Da Wu, John D. Spengler
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/7366c51b191f4f41840c88c3af5b0ed8
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spelling	oai:doaj.org-article:7366c51b191f4f41840c88c3af5b0ed82021-12-02T13:19:29ZSpatial patterns of lower respiratory tract infections and their association with fine particulate matter10.1038/s41598-021-84435-y2045-2322https://doaj.org/article/7366c51b191f4f41840c88c3af5b0ed82021-03-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-84435-yhttps://doaj.org/toc/2045-2322Abstract This study aimed to identify the spatial patterns of lower respiratory tract infections (LRIs) and their association with fine particulate matter (PM2.5). The disability-adjusted life year (DALY) database was used to represent the burden each country experiences as a result of LRIs. PM2.5 data obtained from the Atmosphere Composition Analysis Group was assessed as the source for main exposure. Global Moran’s I and Getis-Ord Gi* were applied to identify the spatial patterns and for hotspots analysis of LRIs. A generalized linear mixed model was coupled with a sensitivity test after controlling for covariates to estimate the association between LRIs and PM2.5. Subgroup analyses were performed to determine whether LRIs and PM2.5 are correlated for various ages and geographic regions. A significant spatial auto-correlated pattern was identified for global LRIs with Moran’s Index 0.79, and the hotspots of LRIs were clustered in 35 African and 4 Eastern Mediterranean countries. A consistent significant positive association between LRIs and PM2.5 with a coefficient of 0.21 (95% CI 0.06–0.36) was identified. Furthermore, subgroup analysis revealed a significant effect of PM2.5 on LRI for children (0–14 years) and the elderly (≥ 70 years), and this effect was confirmed to be significant in all regions except for those comprised of Eastern Mediterranean countries.Aji Kusumaning AsriWen-Chi PanHsiao-Yun LeeHuey-Jen SuChih-Da WuJohn D. SpenglerNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-12 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Aji Kusumaning Asri Wen-Chi Pan Hsiao-Yun Lee Huey-Jen Su Chih-Da Wu John D. Spengler Spatial patterns of lower respiratory tract infections and their association with fine particulate matter
description	Abstract This study aimed to identify the spatial patterns of lower respiratory tract infections (LRIs) and their association with fine particulate matter (PM2.5). The disability-adjusted life year (DALY) database was used to represent the burden each country experiences as a result of LRIs. PM2.5 data obtained from the Atmosphere Composition Analysis Group was assessed as the source for main exposure. Global Moran’s I and Getis-Ord Gi* were applied to identify the spatial patterns and for hotspots analysis of LRIs. A generalized linear mixed model was coupled with a sensitivity test after controlling for covariates to estimate the association between LRIs and PM2.5. Subgroup analyses were performed to determine whether LRIs and PM2.5 are correlated for various ages and geographic regions. A significant spatial auto-correlated pattern was identified for global LRIs with Moran’s Index 0.79, and the hotspots of LRIs were clustered in 35 African and 4 Eastern Mediterranean countries. A consistent significant positive association between LRIs and PM2.5 with a coefficient of 0.21 (95% CI 0.06–0.36) was identified. Furthermore, subgroup analysis revealed a significant effect of PM2.5 on LRI for children (0–14 years) and the elderly (≥ 70 years), and this effect was confirmed to be significant in all regions except for those comprised of Eastern Mediterranean countries.
format	article
author	Aji Kusumaning Asri Wen-Chi Pan Hsiao-Yun Lee Huey-Jen Su Chih-Da Wu John D. Spengler
author_facet	Aji Kusumaning Asri Wen-Chi Pan Hsiao-Yun Lee Huey-Jen Su Chih-Da Wu John D. Spengler
author_sort	Aji Kusumaning Asri
title	Spatial patterns of lower respiratory tract infections and their association with fine particulate matter
title_short	Spatial patterns of lower respiratory tract infections and their association with fine particulate matter
title_full	Spatial patterns of lower respiratory tract infections and their association with fine particulate matter
title_fullStr	Spatial patterns of lower respiratory tract infections and their association with fine particulate matter
title_full_unstemmed	Spatial patterns of lower respiratory tract infections and their association with fine particulate matter
title_sort	spatial patterns of lower respiratory tract infections and their association with fine particulate matter
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/7366c51b191f4f41840c88c3af5b0ed8
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Spatial patterns of lower respiratory tract infections and their association with fine particulate matter

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