Risk analysis based on spatial analysis of chronic obstructive pulmonary disease (COPD) with respect to provinces in Turkey

Çiftçi, Sezgin; Düzgün, Şebnem; Erkan, Berna

doi:10.1016/j.cam.2013.08.023

Cited by 1 publication

(1 citation statement)

References 2 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Most current studies only investigated non-consecutive factors (e.g., ambient air pollutant concentrations (Jo et al 2018 ; Halonen et al 2008 ; Peacock et al 2011 ), sociodemographic characteristics (Schikowski et al 2014a ; Çiftçi et al 2014 ; Lindberg et al 2006 ), and climate environment (Qiu et al 2013 ; Krahnke et al 2013 ; Hoffmann et al 2018 )). On the other hand, studies that examined the effects of long-term exposure to air pollution have been focusing on the mean concentration of air pollutants over the course of several years.…”

Section: Introductionmentioning

confidence: 99%

The effect of consecutive ambient air pollution on the hospital admission from chronic obstructive pulmonary disease in the Chengdu region, China

Zhang

Wang

Cao

et al. 2021

Air Qual Atmos Health

View full text Add to dashboard Cite

Hospitalisation risks for chronic obstructive pulmonary disease (COPD) have been attributed to ambient air pollution worldwide. However, a rise in COPD hospitalisations may indicate a considerable increase in fatality rate in public health. The current study focuses on the association between consecutive ambient air pollution (CAAP) and COPD hospitalisation to offer predictable early guidance towards estimates of COPD hospital admissions in the event of consecutive exposure to air pollution. Big data analytics were collected from 3-year time series recordings (from 2015 to 2017) of both air data and COPD hospitalisation data in the Chengdu region in China. Based on the combined effects of CAAP and unit increase in air pollutant concentrations, a quasi-Poisson regression model was established, which revealed the association between CAAP and estimated COPD admissions. The results show the dynamics and outbreaks in the variations in COPD admissions in response to CAAP. Cross-validation and mean squared error (MSE) are applied to validate the goodness of fit. In both short-term and long-term air pollution exposures, Z test outcomes show that the COPD hospitalisation risk is greater for men than for women; similarly, the occurrence of COPD hospital admissions in the group of elderly people (> 65 years old) is significantly larger than that in lower age groups. The time lag between the air quality and COPD hospitalisation is also investigated, and a peak of COPD hospitalisation risk is found to lag 2 days for air quality index (AQI) and PM 10 , and 1 day for PM 2.5 . The big data-based predictive paradigm would be a measure for the early detection of a public health event in post-COVID-19. The study findings can also provide guidance for COPD admissions in the event of consecutive exposure to air pollution in the Chengdu region.

show abstract