scholarly journals Association between Ambient Air Pollution and Emergency Room Visits for Respiratory Diseases in Spring Dust Storm Season in Lanzhou, China

2016 ◽  
Vol 13 (6) ◽  
pp. 613 ◽  
Author(s):  
Yuxia Ma ◽  
Bingshuang Xiao ◽  
Chang Liu ◽  
Yuxin Zhao ◽  
Xiaodong Zheng
Keyword(s):  
Air Pollution ◽  
Emergency Room ◽  
Dust Storm ◽  
Respiratory Diseases ◽  
Ambient Air ◽  
Ambient Air Pollution ◽  
Emergency Room Visits ◽  
Spring Dust

scholarly journals Short-Term Exposure to Ambient Air Pollution and Increased Emergency Room Visits for Skin Diseases in Beijing, China

Toxics ◽  
2021 ◽  
Vol 9 (5) ◽  
pp. 108
Author(s):  
Wanzhou Wang ◽  
Wenlou Zhang ◽  
Jingjing Zhao ◽  
Hongyu Li ◽  
Jun Wu ◽  
...  
Keyword(s):  
Air Pollution ◽  
Air Quality ◽  
Emergency Room ◽  
Skin Diseases ◽  
Ambient Air ◽  
Additive Models ◽  
Ambient Air Pollution ◽  
Emergency Room Visits ◽  
Icd 10 ◽  
Beijing China

Skin diseases have become a global concern. This study aims to evaluate the associations between ambient air pollution and emergency room visits for skin diseases under the background of improving air quality in China. Based on 45,094 cases from a general hospital and fixed-site monitoring environmental data from 2014–2019 in Beijing, China, this study used generalized additive models with quasi-Poisson regression to estimate the exposure–health associations at lag 0–1 to lag 0–7. PM2.5 and NO2 exposure were associated with increased emergency room visits for total skin diseases (ICD10: L00-L99). Positive associations of PM2.5, PM10, O3 and NO2 with dermatitis/eczema (ICD-10: L20–30), as well as SO2 and NO2 with urticaria (ICD-10: L50) visits were also found. For instance, a 10 μg/m3 increase in PM2.5 was associated with increases of 0.7% (95%CI: 0.2%, 1.2%) in total skin diseases visits at lag 0–5 and 1.1% (95%CI: 0.6%, 1.7%) in dermatitis/eczema visits at lag 0–1, respectively. For PM2.5, PM10 and CO, stronger annual associations were typically observed in the high-pollution (2014) and low-pollution (2018/2019) years. For instance, a 10 μg/m3 increase in PM2.5 at lag 0–5 was associated with increases of 1.8% (95%CI: 1.0%, 2.6%) and 2.3% (95%CI: 0.4%, 4.3%) in total skin disease visits in 2014 and 2018, respectively. Our study emphasizes the necessity of controlling the potential health hazard of air pollutants on skin, although significant achievements in air quality control have been made in China.

Association of ambient air pollution with hospital outpatient and emergency room visits in Shanghai, China

2009 ◽  
Vol 407 (21) ◽  
pp. 5531-5536 ◽  
Author(s):  
Junshan Cao ◽  
Weihua Li ◽  
Jianguo Tan ◽  
Weimin Song ◽  
Xiaohui Xu ◽  
...  
Keyword(s):  
Air Pollution ◽  
Emergency Room ◽  
Ambient Air ◽  
Ambient Air Pollution ◽  
Emergency Room Visits ◽  
Hospital Outpatient

Short-term effects of ambient air pollution on emergency room admissions due to cardiovascular causes in Beijing, China

2017 ◽  
Vol 230 ◽  
pp. 974-980 ◽  
Author(s):  
Yuxia Ma ◽  
Yuxin Zhao ◽  
Sixu Yang ◽  
Jianding Zhou ◽  
Jinyuan Xin ◽  
...  
Keyword(s):  
Air Pollution ◽  
Emergency Room ◽  
Ambient Air ◽  
Ambient Air Pollution ◽  
Short Term ◽  
Beijing China ◽  
Short Term Effects

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 APExpose_DE, an air quality exposure dataset for Germany 2010–2019

2021 ◽  
Vol 8 (1) ◽  
Author(s):  
Alexandre Caseiro ◽  
Erika von Schneidemesser
Keyword(s):  
Air Pollution ◽  
Air Quality ◽  
Time Resolution ◽  
Respiratory Diseases ◽  
Ambient Air ◽  
Epidemiological Studies ◽  
Ambient Air Pollution ◽  
Major Influence ◽  
Resolution Level

AbstractExposure to poor air quality is considered a major influence on the occurrence of cardiovascular and respiratory diseases. Air pollution has also been linked to the severity of the effects of epidemics such as COVID-19 caused by the SARS-CoV-2 virus. Epidemiological studies require datasets of the long-term exposure to air pollution. We present the APExpose_DE dataset, a long-term (2010–2019) dataset providing ambient air pollution metrics at yearly time resolution for NO2, NO, O3, PM10 and PM2.5 at the NUTS-3 spatial resolution level for Germany (corresponding to the Landkreis or Kreisfreie Stadt in Germany, 402 in total).

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