Novel method for producing uncertainty-weighted averages from a time series of ambient air measurements

2010 ◽  
Vol 41 (3/4) ◽  
pp. 355 ◽  
Author(s):  
Richard J.C. Brown
Keyword(s):  
Time Series ◽  
Ambient Air ◽  
Weighted Averages ◽  
Novel Method ◽  
Ambient Air Measurements

scholarly journals Savaris et al (2021) erroneously interpreted their regressions

2021 ◽  
Author(s):  
Carlos Góes
Keyword(s):  
Time Series ◽  
Short Note ◽  
Mortality Rates ◽  
Specific Time ◽  
Weighted Averages ◽  
Staying At Home ◽  
Do So ◽  
At Home

Savaris et al. (2021) aim at "verifying if staying at home had an impact on mortality rates." This short note shows that the methodology they have applied in their paper does not allow them to do so. An estimated coefficient β≈0 does not imply that there is no association between the variables in either country. Rather, their pairwise difference regressions are computing coefficients that are weighted-averages of region-specific time series regressions, such that it is possible that the association is significant in both regions but their weighted-averages is close to zero. Therefore, the results do not back up the conclusions of the paper.

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.

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