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Spatial patterns of lower respiratory tract infections and their association with fine particulate matter.
Sci Rep. 2021 Mar 01; 11(1):4866.SR

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.

Authors+Show Affiliations

Department of Geomatics, National Cheng Kung University, Tainan, 70101, Taiwan.Institute of Environmental and Occupational Health Sciences, National Yang Ming Chiao Tung University, Taipei, 11221, Taiwan.Department of Leisure Industry and Health Promotion, National Taipei University of Nursing and Health Sciences, Taipei, 112, Taiwan.Department of Environmental and Occupational Health, National Cheng Kung University, Tainan, 70101, Taiwan.Department of Geomatics, National Cheng Kung University, Tainan, 70101, Taiwan. chidawu@mail.ncku.edu.tw. National Institute of Environmental Health Sciences, National Health Research Institutes, Miaoli, 35053, Taiwan. chidawu@mail.ncku.edu.tw.Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, 02115, USA.

Pub Type(s)

Journal Article

Language

eng

PubMed ID

33649419

Citation

Asri, Aji Kusumaning, et al. "Spatial Patterns of Lower Respiratory Tract Infections and Their Association With Fine Particulate Matter." Scientific Reports, vol. 11, no. 1, 2021, p. 4866.
Asri AK, Pan WC, Lee HY, et al. Spatial patterns of lower respiratory tract infections and their association with fine particulate matter. Sci Rep. 2021;11(1):4866.
Asri, A. K., Pan, W. C., Lee, H. Y., Su, H. J., Wu, C. D., & Spengler, J. D. (2021). Spatial patterns of lower respiratory tract infections and their association with fine particulate matter. Scientific Reports, 11(1), 4866. https://doi.org/10.1038/s41598-021-84435-y
Asri AK, et al. Spatial Patterns of Lower Respiratory Tract Infections and Their Association With Fine Particulate Matter. Sci Rep. 2021 Mar 1;11(1):4866. PubMed PMID: 33649419.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - Spatial patterns of lower respiratory tract infections and their association with fine particulate matter. AU - Asri,Aji Kusumaning, AU - Pan,Wen-Chi, AU - Lee,Hsiao-Yun, AU - Su,Huey-Jen, AU - Wu,Chih-Da, AU - Spengler,John D, Y1 - 2021/03/01/ PY - 2019/12/27/received PY - 2021/02/16/accepted PY - 2021/3/2/entrez PY - 2021/3/3/pubmed PY - 2021/3/3/medline SP - 4866 EP - 4866 JF - Scientific reports JO - Sci Rep VL - 11 IS - 1 N2 - 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. SN - 2045-2322 UR - https://www.unboundmedicine.com/medline/citation/33649419/Spatial_patterns_of_lower_respiratory_tract_infections_and_their_association_with_fine_particulate_matter. L2 - https://doi.org/10.1038/s41598-021-84435-y DB - PRIME DP - Unbound Medicine ER -
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