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Publication:
Effects of air pollution exposure on hospital admissions: A time series study in sivas, türkiye

dc.contributor.authorHüseyin Özdemir
dc.contributor.authorİbrahim Kaya
dc.contributor.authorÖzkan Çapraz
dc.contributor.authorHakan Çelikten
dc.contributor.authorIlker Oruc
dc.contributor.authorHacer Handan Demir
dc.contributor.authorAli Deniz
dc.contributor.departmentAvrasya Yer Bilimleri Enstitüsü
dc.contributor.departmentMeteoroloji Müh.Bölümü
dc.contributor.ituauthorÇapraz, Özkan
dc.contributor.ituauthorDeniz, Ali
dc.date.accessioned2026-10-07T21:01:04Z
dc.date.issued2026-06-16
dc.description.abstractThe impact of air pollution on human health has been widely studied in recent decades. Recent findings show that even low levels of air pollution can be harmful to our health, causing disease and early death. However, these studies are very limited in the central region of Türkiye. Therefore, this study focused on the association between the daily variations in air pollutants (PM10, PM2.5, SO2, and NO2) and hospital admissions due to respiratory, cardiovascular, and total (non-accidental) causes in the Sivas province. Daily average concentrations of air pollutants were obtained from two air quality (AQ) monitoring stations, and daily meteorological (air temperature and relative humidity) data were obtained from one meteorological station in Sivas province to determine the effects of air pollution on hospital admissions. It was found to be a significant relationship between air pollution and respiratory hospital admissions in the province. The results of the study showed the relative magnitudes of the risks of cardiovascular diseases and hospital admissions related to air pollutants were as follows: The highest association of each pollutant with cardiovascular diseases was observed for PM10 at lag 4 (ER = 1.74%; 95% CI = 0.95–3.19%), PM2.5 at lag 2 (ER = 5.12%; 95% CI = 1.39–19.0%), NO2 at lag 8 (ER = 4.89%; 95% CI = 0.08–288.8%) and SO2 at lag 5 (ER = 1.21%; 95% CI = 1.10–1.32%). It was seen that short-term exposure to air pollution in Sivas between 2016 and 2019 was positively associated with increasing respiratory hospital admissions. As the first air pollution study to use the generalized linear model (GLM) method in hospital admissions in Sivas, these findings may have implications for local environmental policies and help to combat air pollution.en
dc.identifier.doi10.3390/atmos17060611
dc.identifier.eissn2073-4433
dc.identifier.openaire5f11960f389bbe12d5ac82425a0bad56
dc.identifier.scopus2-s2.0-105043058930
dc.identifier.startpage611
dc.identifier.urihttps://doi.org/10.3390/atmos17060611
dc.identifier.urihttps://hdl.handle.net/11527/81675
dc.identifier.volume17
dc.identifier.wos001801771400001
dc.language.isoeng
dc.publisherMdpi ag
dc.relation.ispartofAtmosphere
dc.rightsopenAccess
dc.subjectTotal diseases
dc.subjectHealth effects
dc.subjectRespiratory diseases
dc.subjectAir pollution
dc.subjectCardiovascular diseases
dc.titleEffects of air pollution exposure on hospital admissions: A time series study in sivas, türkiye
dc.typeArticle
dspace.entity.typePublication
person.identifier.orcid0000-0003-1068-4277

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