Association of meteorological factors and atmospheric particulate matter with the incidence of pneumonia: an ecological study
DC Field | Value | Language |
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dc.contributor.author | Huh K. | - |
dc.contributor.author | Hong J. | - |
dc.contributor.author | Jung J. | - |
dc.date.available | 2021-01-19T00:40:38Z | - |
dc.date.created | 2020-05-06 | - |
dc.date.issued | 2020-12 | - |
dc.identifier.issn | 1198-743X | - |
dc.identifier.uri | https://scholarworks.bwise.kr/gachon/handle/2020.sw.gachon/79773 | - |
dc.description.abstract | Objectives: Inconsistent results have been found between pneumonia and meteorological factors. We aimed to identify principal meteorological factors associated with pneumonia, and to estimate the effect size and lag time. Methods: This was nationwide population-based study used a healthcare claims database merged with a weather database in eight metropolitan cities in Korea. We applied a stepwise approach using the Granger causality test and generalized additive model to elucidate the association between weekly pneumonia incidence (WPI) and meteorological factors/air pollutants (MFAP). Impulse response function was used to examine the time lag. Results: In total, 2 011 424 cases of pneumonia were identified from 2007 to 2017. Among MFAP, diurnal temperature range (DTR), humidity and particulate matter ≤2.5 μm in diameter (PM2.5) showed statistically significant associations with WPI (p < 0.001 for all 3 MFAPs). The association of DTR and WPI showed an inverted U pattern for bacterial and unspecified pneumonia, whereas for viral pneumonia, WPI increased gradually in a more linear manner with DTR and no substantial decline. Humidity showed a consistent pattern in all three pneumonia categories. WPI steeply increased up to 10 to 20 μg/m³ of PM2.5 but did not show a further increase in higher concentrations. On the basis of the result, we examined the effect of MFAP in different lag times up to 3 weeks. Conclusions: DTR, humidity and PM2.5 were identified as MFAP most closely associated with WPI. With the model, we were able to visualize the effect–time association of MFAP and WPI. © 2020 European Society of Clinical Microbiology and Infectious Diseases | - |
dc.language | 영어 | - |
dc.language.iso | en | - |
dc.publisher | ELSEVIER SCI LTD | - |
dc.relation.isPartOf | CLINICAL MICROBIOLOGY AND INFECTION | - |
dc.title | Association of meteorological factors and atmospheric particulate matter with the incidence of pneumonia: an ecological study | - |
dc.type | Article | - |
dc.type.rims | ART | - |
dc.description.journalClass | 1 | - |
dc.identifier.wosid | 000600573300018 | - |
dc.identifier.doi | 10.1016/j.cmi.2020.03.006 | - |
dc.identifier.bibliographicCitation | CLINICAL MICROBIOLOGY AND INFECTION, v.26, no.12, pp.1676 - 1683 | - |
dc.description.isOpenAccess | N | - |
dc.identifier.scopusid | 2-s2.0-85083299655 | - |
dc.citation.endPage | 1683 | - |
dc.citation.startPage | 1676 | - |
dc.citation.title | CLINICAL MICROBIOLOGY AND INFECTION | - |
dc.citation.volume | 26 | - |
dc.citation.number | 12 | - |
dc.contributor.affiliatedAuthor | Hong J. | - |
dc.contributor.affiliatedAuthor | Jung J. | - |
dc.type.docType | Article | - |
dc.subject.keywordAuthor | Air pollutants | - |
dc.subject.keywordAuthor | Meteorological factors | - |
dc.subject.keywordAuthor | Particulate matter | - |
dc.subject.keywordAuthor | Pneumonia | - |
dc.subject.keywordAuthor | Time-series analysis | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
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