Time series regression to identifying the relationship between air pollution and health in Vietnam

2020 ◽  
Vol 04 (04) ◽  
pp. 40-52
Author(s):  
Thuy Linh Nguyen ◽  
◽  
Tu Le ◽  
Thi Kim Ngan Nguyen ◽  
Thi Bich Lien Nguyen ◽  
...  
Keyword(s):  
Air Pollution ◽  
Time Series ◽  
Hospital Admissions ◽  
Environmental Epidemiology ◽  
Ambient Air ◽  
Outcome Data ◽  
Ambient Air Pollution ◽  
Short Term ◽  
Time Series Regression ◽  
Pollution Levels

Time series has been widely used in environmental epidemiology; especially in identifying the short-term associations between ambient air pollution and health outcomes. For both exposure and outcome, data are available at regular time intervals (daily hospital admissions and pollution levels) to explore short-term associations between them. In this article, we described main steps to conduct time series regression and highlighted some key ideas when applying this technique. A sample data was used to investigate short-term association between PM10 and daily hospital admission among children in Hanoi between 2008 and 2016. This analysis was conducted with R software. Keywords: time series, air pollution, short-term effect

scholarly journals Short-Term Effects of Ambient Air Pollution On Daily Emergency Room Visits for Abdominal Pain: A Time-Series Study in Wuhan, China

2021 ◽  
Author(s):  
Yaqi Liu ◽  
Yi Jiang ◽  
Manyi Wu ◽  
Sunghar Muheyat ◽  
Dongai Yao ◽  
...  
Keyword(s):  
Air Pollution ◽  
Time Series ◽  
Abdominal Pain ◽  
Air Pollutants ◽  
Ambient Air ◽  
Ambient Air Pollution ◽  
Emergency Room Visits ◽  
Short Term ◽  
Time Series Study ◽  
Series Study

Abstract Background There are few studies focused on the correlations between ambient air pollution and abdominal pain, especially in emergency departments in China. Method: Daily data (from January 1, 2016 to December 31, 2018), including air pollution concentration (SO2, NO2, PM2.5, PM10, CO, and O3) and meteorological variables, for daily emergency room visits (ERVs) were collected in Wuhan, China. We conducted a time-series study to investigate the potential correlation between six ambient air pollutants and ERVs for abdominal pain and their effects, in different genders, ages and seasons. Results A total of 16,306 abdominal pain ERVs were identified during the study period. A 10-µg/m3 increase in concentration of SO2, NO2, PM2.5, PM10, CO, and O3 corresponded respectively to incremental increases in abdominal pain of 6.12% (95% confidence interval [CI]: -0.44-13.12), 1.65% (95%CI: -0.25-3.59), 1.12% (95%CI: -0.18-2.44), 0.38% (95%CI: -1.09-1.87), 9.87% (95%CI:3.14–17.05) and 1.11% (95%CI: 0.03–2.21). We observed significant correlations between CO and O3 and daily abdominal pain ERVs increase, and positive but insignificant correlations between the other pollutants and ERVs. The effects were stronger mainly for females (especially SO2 and O3) and younger people (especially CO and O3). The correlations of PM2.5 and PM10 were stronger in cool seasons, while the correlation of CO was stronger in warm seasons. Conclusion Our time-series study suggested that short-term exposure to air pollution (especially CO and O3) was positively correlated with ERVs for abdominal pain in Wuhan, China, and that their effects varied by season, gender and age. These data can add evidence on how air pollutants affect the human body, and may prompt hospitals to take specific precautions on polluted days and maintain order in emergency departments made busier due to the pollution.

scholarly journals Short-Term Effects of Ambient Air Pollution on Hospitalization for Respiratory Disease in Taiyuan, China: A Time-Series Analysis

2018 ◽  
Vol 15 (10) ◽  
pp. 2160 ◽  
Author(s):  
Lisha Luo ◽  
Yunquan Zhang ◽  
Junfeng Jiang ◽  
Hanghang Luan ◽  
Chuanhua Yu ◽  
...  
Keyword(s):  
Air Pollution ◽  
Time Series ◽  
Respiratory Disease ◽  
Air Pollutants ◽  
Ambient Air ◽  
Ambient Air Pollution ◽  
High Risk Population ◽  
Short Term ◽  
Ambient Air Pollutants ◽  
Short Term Effects

In this study, we estimated the short-term effects of ambient air pollution on respiratory disease hospitalization in Taiyuan, China. Daily data of respiratory disease hospitalization, daily concentration of ambient air pollutants and meteorological factors from 1 October 2014 to 30 September 2017 in Taiyuan were included in our study. We conducted a time-series study design and applied a generalized additive model to evaluate the association between every 10-μg/m3 increment of air pollutants and percent increase of respiratory disease hospitalization. A total of 127,565 respiratory disease hospitalization cases were included in this study during the present period. In single-pollutant models, the effect values in multi-day lags were greater than those in single-day lags. PM2.5 at lag02 days, SO2 at lag03 days, PM10 and NO2 at lag05 days were observed to be strongly and significantly associated with respiratory disease hospitalization. No significant association was found between O3 and respiratory disease hospitalization. SO2 and NO2 were still significantly associated with hospitalization after adjusting for PM2.5 or PM10 into two-pollutant models. Females and younger population for respiratory disease were more vulnerable to air pollution than males and older groups. Therefore, some effective measures should be taken to strengthen the management of the ambient air pollutants, especially SO2 and NO2, and to enhance the protection of the high-risk population from air pollutants, thereby reducing the burden of respiratory disease caused by ambient air pollution.

scholarly journals Sepsis-related hospital admissions and ambient air pollution: a time series analysis in 6 Chinese cities

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Yu Wang ◽  
Zhen Liu ◽  
Lian Yang ◽  
Jiushun Zhou ◽  
Jia Li ◽  
...  
Keyword(s):  
Air Pollution ◽  
Time Series ◽  
Hospital Admissions ◽  
Ambient Air ◽  
Air Pollutant ◽  
Additive Models ◽  
Short Term ◽  
Short Term Exposure ◽  
Hospital Stays ◽  
Age And Sex

Abstract Background Some prevalent but rarely studied causes of hospital admissions, such as sepsis is still unknown whether affected by air pollution. Methods We used time-series regression within generalized additive models to estimate the effect of air pollutant level on the sepsis-related hospital admissions, for the years 2017–18, using data from six cities in Sichuan, China. Potential effect modifications by age and sex were also explored. The effects of air pollutant on hospital stays for sepsis were also quantified. Results Positive associations between short-term exposure to NO2 and O3 and risk of sepsis-related hospital admissions and stays were found. Each 10 μg/m3 increase in short-term NO2 at lag 03 and O3 at lag 4 was associated with an increase of 2.76% (95% CI: 0.67, 4.84%) and 0.64% (95% CI: 0.14, 1.14%) hospital admissions, respectively. An increase of 0.72% (95% CI: 0.05, 1.40%) hospital stay was associated with 10 μg/m3 increase in O3 concentration at lag 4. Besides, the adverse effect of exposure to NO2 was more significant in males and population aged less than 14 years; while more significant in females and population aged 14 ~ 65 and over 65 years for exposure to O3. These associations remained stable after the adjustment of other air pollutants.8. Conclusion Exposure to ambient NO2 and O3 may cause substantial sepsis hospitalizations, and hospital stays in Sichuan, China. These associations were different in subgroup by age and sex.

scholarly journals Association Between Ambient Air Pollution and Mortality From Chronic Obstructive Pulmonary Disease in Wuhan, China: a Population-based Time-series Study

2020 ◽  
Author(s):  
Yaqiong Yan ◽  
Lu She ◽  
Yan Guo ◽  
Yuanyuan Zhao ◽  
Pei Zhang ◽  
...  
Keyword(s):  
Chronic Obstructive Pulmonary Disease ◽  
Air Pollution ◽  
Time Series ◽  
Subgroup Analysis ◽  
Ambient Air ◽  
Ambient Air Pollution ◽  
Chronic Obstructive ◽  
Short Term ◽  
Obstructive Pulmonary Disease ◽  
Copd Mortality

Abstract Background: Previous studies have mainly focused on the associations between air pollution and total respiratory disease mortality. However, evidence on the short-term effects of air pollution on chronic obstructive pulmonary disease (COPD) mortality is still not conclusive to date. The aim of this study was to investigate the short-term effects of ambient air pollution on COPD mortality in Wuhan China.Methods: Daily death numbers, concentrations of air pollutants (PM2.5, PM10, SO2, NO2, and O3) and meteorological characteristics in Wuhan between January 1, 2014 to December 31, 2019 were collected. Time-series analysis using generalized additive model was applied to evaluated the association between ambient air pollution and daily COPD mortality. Subgroup analysis by age (<65 and ≥65 year) and sex (male and female) were also conducted. Results: During the study period, we observed a total of 16150 deaths(7.37 deaths per day) from COPD. The daily average concentrations of PM2.5, PM10, SO2, NO2 and O3 were 59.03, 90.48, 12.91, 48.84 and 91.77 µg/m3, respectively. In single pollutant model, for every increase of 10 µg/m3 in PM10, SO2, NO2 levels, COPD mortality increased by 0.581%(95CI:0.054%-1.111%), 4.316%(95CI:1.002%-7.738%) and 1.815%(95CI:0.523%-3.125%) at lag03, respectively. No significant associations were found for PM2.5 and O3. Subgroup analysis demonstrated that females were more susceptible to PM2.5, PM10, SO2 and NO2, in addition the concentrations of PM10, SO2 and NO2 were significantly associated with COPD mortality for older adults. In two-pollutant models, the significantly positive associations between SO2 as well as NO2 and COPD mortality remained after adjusting for PM2.5 or O3.Conclusions: Short-term exposure to PM10, SO2, and NO2 are significantly associated with a higher risk of COPD mortality. Female or elderly are more susceptible to air pollution. Further research is required to reveal the underlying mechanisms. The implementation of the environmental protection policy has become urgent.

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