Air Pollution and Health Studies in China—Policy Implications

Chen, Bingheng; Kan, Haidong; Chen, Renjie; Jiang, Shize; Cai, Hong

doi:10.1080/10473289.2011.604288

Cited by 39 publications

(18 citation statements)

References 40 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Although improved substantially, China has the worst air pollution in the world [7]. The industrialization, urbanization, and increased vehicle use result in the increased air pollution in major cities [8]. In this study, we investigated the effects of urban ambient air pollution on the attack of epilepsy in Xi’an, a heavily-polluted metropolis in China.…”

Section: Introductionmentioning

confidence: 99%

The Novel Relationship between Urban Air Pollution and Epilepsy: A Time Series Study

Fan

Kan

et al. 2016

PLoS ONE

View full text Add to dashboard Cite

Background and purposeThe data concerning the association between environmental pollution and epilepsy attacks are limited. The aim of this study was to explore the association between acute air pollution exposure and epilepsy attack.MethodsA hospital record-based study was carried out in Xi’an, a heavily-polluted metropolis in China. Daily baseline data were obtained. Time-series Poisson regression models were applied to analyze the association between air pollution and epilepsy.ResultsA 10 μg/m3 increase of NO2, SO2, and O3 concentrations corresponded to 3.17% (95%Cl: 1.41%, 4.93%), 3.55% (95%Cl: 1.93%, 5.18%), and -0.84% (95%Cl: -1.58%, 0.09%) increase in outpatient-visits for epilepsy on the concurrent days, which were significantly influenced by sex and age. The effects of NO2 and SO2 would be stronger when adjusted for PM2.5. As for O3, a -1.14% (95%Cl: -1.90%, -0.39%) decrease was evidenced when adjusted for NO2. The lag models showed that the most significant effects were evidenced on concurrent days.ConclusionsWe discovered previously undocumented relationships between short-term air pollution exposure and epilepsy: while NO2 and SO2 were positively associated with outpatient-visits of epilepsy, O3 might be associated with reduced risk.

show abstract

Section: Introductionmentioning

confidence: 99%

The Novel Relationship between Urban Air Pollution and Epilepsy: A Time Series Study

Fan

Kan

et al. 2016

PLoS ONE

View full text Add to dashboard Cite

show abstract

“…They can enter into human body via inhalation, ingestion and dermal contact, then deposit in body. These trace elements also have potential risks by causing chronic disease, lung and heart disease, cancer to human health (Chen et al, 2011;Cohen, 2013;Hu et al, 2012;Lü et al, 2009;Peled, 2011;Pope III et al, 2002). Most elements are chemically stable and non-volatile, thus can stay in the atmosphere for a long time, and be transported or dispersed across a range of hundreds to thousands kilometers (Moreno et al, 2012;Pan et al, 2013;Senlin et al, 2008).…”

Section: Introductionmentioning

confidence: 96%

Source identification of trace elements in the atmosphere during the second Asian Youth Games in Nanjing, China: Influence of control measures on air quality

Zhang

et al. 2016

Atmospheric Pollution Research

View full text Add to dashboard Cite

“…In contrast, the index was only 0.7g/m 3 in July in 2000 [44]. The influence of air pollution is profound not only as it disrupts people's daily lives but also because it causes physical problems [9,26]. Shrouded in haze, people will discontinue vigorous outdoor activities since exercising in environments with high levels of air pollution can increase the risk of health problems.…”

Section: Introductionmentioning

confidence: 99%

Stochastic Modelling of Air Pollution Impacts on Respiratory Infection Risk

Tang

Xiao

et al. 2018

Bull Math Biol

View full text Add to dashboard Cite

The impact of air pollution on people's health and daily activities in China has recently aroused much attention. By using stochastic differential equations, variation in a six year long time series of air quality index (AQI) data, gathered from air quality monitoring sites in Xi'an from 15 November 2010 to 14 November 2016 was studied. Every year the extent of air pollution shifts from being serious to not so serious due to alterations in heat production systems. The distribution of such changes can be predicted by a Bayesian approach and the Gibbs sampler algorithm. The intervals between changes in a sequence indicate when the air pollution becomes increasingly serious. Also, the inflow rate of pollutants during the main pollution periods each year has an increasing trend. This study used a stochastic SEIS model associated with the AQI to explore the impact of air pollution on respiratory infections. Good fits to both the AQI data and the numbers of influenza-like illness (ILI) cases were obtained by stochastic numerical simulation of the model. Based on the model's dynamics, the AQI time series and the daily number of respiratory infection cases under various government intervention measures and human protection strategies were forecasted. The AQI data in the last 15 months verified that government interventions on vehicles is effective in controlling air pollution, thus providing numerical support for policy formulation to address the haze crisis.

show abstract

Air Pollution and Health Studies in China—Policy Implications

Abstract: During the rapid economic development in China, ambient air pollutants in major cities, including PM 10

Cited by 39 publications

References 40 publications

The Novel Relationship between Urban Air Pollution and Epilepsy: A Time Series Study

The Novel Relationship between Urban Air Pollution and Epilepsy: A Time Series Study

Source identification of trace elements in the atmosphere during the second Asian Youth Games in Nanjing, China: Influence of control measures on air quality

Stochastic Modelling of Air Pollution Impacts on Respiratory Infection Risk

Contact Info

Product

Resources

About