Time series modelling of respiratory hospital admissions and geometrically weighted distributed lag effects from ambient particulate air pollution within Kathmandu Valley, Nepal

2007 ◽  
Vol 12 (3) ◽  
pp. 239-251 ◽  
Author(s):  
Srijan Lal Shrestha
Keyword(s):  
Air Pollution ◽  
Time Series ◽  
Hospital Admissions ◽  
Kathmandu Valley ◽  
Lag Effects ◽  
Particulate Air Pollution ◽  
Distributed Lag ◽  
Time Series Modelling

scholarly journals Particulate Air Pollution and Daily Mortality in Kathmandu Valley, Nepal: Associations and Distributed Lag

2012 ◽  
Vol 6 (1) ◽  
pp. 62-70 ◽  
Author(s):  
Srijan Lal Shrestha
Keyword(s):  
Air Pollution ◽  
Time Series Data ◽  
Effect Of Temperature ◽  
Series Data ◽  
Kathmandu Valley ◽  
Lag Effects ◽  
Particulate Air Pollution ◽  
Distributed Lag ◽  
Lag Effect ◽  
All Cause Mortality

The distributed lag effect of ambient particulate air pollution that can be attributed to all cause mortality in Kathmandu valley, Nepal is estimated through generalized linear model (GLM) and generalized additive model (GAM) with autoregressive count dependent variable. Models are based upon daily time series data on mortality collected from the leading hospitals and exposure collected from the 6 six strategically dispersed fixed stations within the valley. The distributed lag effect is estimated by assigning appropriate weights governed by a mathematical model in which weights increased initially and decreased later forming a long tail. A comparative assessment revealed that autoregressive semiparametric GAM is a better fit compared to autoregressive GLM. Model fitting with autoregressive semi-parametric GAM showed that a 10 μg m rise in PM is associated with 2.57 % increase in all cause mortality accounted for 20 days lag effect which is about 2.3 times higher than observed for one day lag and demonstrates the existence of extended lag effect of ambient PM on all cause deaths. The confounding variables included in the model were parametric effects of seasonal differences measured by Fourier series terms, lag effect of mortality, and nonparametric effect of temperature represented by loess smoothing. The lag effects of ambient PM remained constant beyond 20 days.

scholarly journals Air pollution and hospital admissions and deaths due to respiratory infections in megacity of Tehran: A time series analysis

2021 ◽  
Author(s):  
Zahra Namvar ◽  
Mostafa Hadei ◽  
Seyed Saeed Hashemi ◽  
Elahe Shahhosseini ◽  
Philip K. Hopke ◽  
...  
Keyword(s):  
Air Pollution ◽  
Air Pollutants ◽  
Hospital Admissions ◽  
Respiratory Infections ◽  
Positive Association ◽  
Ambient Air ◽  
Age Group ◽  
Distributed Lag ◽  
Ambient Air Pollutants ◽  
Short Term Exposure

Introduction: Air pollution is one of the main causes for the significant increase of respiratory infections in Tehran. In the present study, we investigated the associations between short-term exposure to ambient air pollutants with the hospital admissions and deaths. Materials and methods: Health data from 39915 hospital admissions and 2459 registered deaths associated with these hospital admissions for respiratory infections were obtained from the Ministry of Health and Medical Education during 2014-2017. We used the distributed lag non-linear model (DLNM) for the analyses. Results: There was a statistically positive association between PM2.5 and AURI in the age group of 16 years and younger at lags 6 (RR 1.31; 1.05-1.64) and 7 (RR 1.50; 1.09-2.06). AURI admissions was associated with O3 in the age group of 16 and 65 years at lag 7 with RR 1.13 (1.00-1.27). ALRI admissions was associated with CO in the age group of 65 years and older at lag 0 with RR 1.12 (1.02-1.23). PM10 was associated with ALRI daily hospital admissions at lag 0 for males. ALRI admissions were associated with NO2 for females at lag 0. There was a positive association between ALRI deaths and SO2 in the age group of 65 years and older at lags 4 and 5 with RR 1.04 (1.00-1.09) and 1.03 (1.00-1.07), respectively. Conclusion: Exposure to outdoor air pollutants including PM10, PM2.5, SO2, NO2, O3, and CO was associated with hospital admissions for AURI and ALRI at different lags. Moreover, exposure to SO2 was associated with deaths for ALRI.

scholarly journals Correction to: Impact of air pollution on hospital admissions with a focus on respiratory diseases: a time-series multi-city analysis

2020 ◽  
Vol 27 (17) ◽  
pp. 22139-22139
Author(s):  
Alessandro Slama ◽  
Andrzej Śliwczyński ◽  
Jolanta Woźnica ◽  
Maciej Zdrolik ◽  
Bartłomiej Wiśnicki ◽  
...  
Keyword(s):  
Air Pollution ◽  
Time Series ◽  
Respiratory Diseases ◽  
Hospital Admissions

scholarly journals How Many Hospital admissions in Massachusetts Would Have Been Saved, Had the Particulate Air Pollution Level Been Lower?

2019 ◽  
Vol 3 ◽  
pp. 460
Author(s):  
Yitshak Sade M ◽  
Nethery R ◽  
Abu-Awad Y ◽  
Mealli F ◽  
Dominici F ◽  
...  
Keyword(s):  
Air Pollution ◽  
Hospital Admissions ◽  
Pollution Level ◽  
Particulate Air Pollution

scholarly journals Fine Particulate Air Pollution and First Hospital Admissions for Ischemic Stroke in Beijing, China

2017 ◽  
Vol 7 (1) ◽  
Author(s):  
Yaohua Tian ◽  
Xiao Xiang ◽  
Yiqun Wu ◽  
Yaying Cao ◽  
Jing Song ◽  
...  
Keyword(s):  
Air Pollution ◽  
Ischemic Stroke ◽  
Hospital Admissions ◽  
Particulate Air Pollution ◽  
Fine Particulate ◽  
Beijing China

scholarly journals Impact of air pollution on hospital admissions with a focus on respiratory diseases: a time-series multi-city analysis

2019 ◽  
Vol 26 (17) ◽  
pp. 16998-17009 ◽  
Author(s):  
Alessandro Slama ◽  
Andrzej Śliwczyński ◽  
Jolanta Woźnica ◽  
Maciej Zdrolik ◽  
Bartłomiej Wiśnicki ◽  
...  
Keyword(s):  
Air Pollution ◽  
Time Series ◽  
Respiratory Diseases ◽  
Hospital Admissions

scholarly journals Monthly-Term Associations Between Air Pollutants and Respiratory Morbidity in South Brazil 2013–2016: A Multi-City, Time-Series Analysis

2019 ◽  
Vol 16 (20) ◽  
pp. 3787 ◽  
Author(s):  
Dayana Milena Agudelo-Castañeda ◽  
Elba Calesso Teixeira ◽  
Larissa Alves ◽  
Julián Alfredo Fernández-Niño ◽  
Laura Andrea Rodríguez-Villamizar
Keyword(s):  
Air Pollution ◽  
Time Series ◽  
Air Pollutants ◽  
Hospital Admissions ◽  
Age Groups ◽  
Information Service ◽  
Average Concentration ◽  
Respiratory Morbidity ◽  
Maximum Effect ◽  
South Brazil

Most air pollution research conducted in Brazil has focused on assessing the daily-term effects of pollutants, but little is known about the health effects of air pollutants at an intermediate time term. The objective of this study was to determine the monthly-term association between air pollution and respiratory morbidity in five cities in South Brazil. An ecological time-series study was performed using the municipality as the unit of observation in five cities in South Brazil (Gravataí, Triunfo, Esteio, Canoas, and Charqueadas) between 2013 and 2016. Data for hospital admissions was obtained from the records of the Hospital Information Service. Air pollution data, including PM10, SO2, CO, NO2, and O3 (µg/m3) were obtained from the environmental government agency in Rio Grande do Sul State. Panel multivariable Poisson regression models were adjusted for monthly counts of respiratory hospitalizations. An increase of 10 μg/m3 in the monthly average concentration of PM10 was associated with an increase of respiratory hospitalizations in all age groups, with the maximum effect on the population aged between 16 and 59 years (IRR: Incidence rate ratio 2.04 (95% CI: Confidence interval = 1.97–2.12)). For NO2 and SO2, stronger intermediate-term effects were found in children aged between 6 and 15 years, while for O3 higher effects were found in children under 1 year. This is the first multi-city study conducted in South Brazil to account for intermediate-term effects of air pollutants on respiratory health.

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