China’s Air Quality and Respiratory Disease Mortality Based on the Spatial Panel Model

Cao, Qilong; Liang, Ying; Niu, Xueting

doi:10.3390/ijerph14091081

Cited by 35 publications

(24 citation statements)

References 35 publications

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“…Understanding the long-term changes and the trend in the AOD on the Earth, especially in developing countries like China, is becoming increasingly essential for the accurate assessment of the radiative forcing effects on climate (Li et al, 2013). The rapid development of industry, traffic and urbanization, the combustion of fossil fuel, and the emissions of industrial fumes and contaminated gas lead has to a significant increase in atmospheric aerosols, which do not only affect climate, but also constitute a threat to human health (Tie et al, 2009;Cao et al, 2017). Consequently, it is critical for environmental and epidemiological studies to accurately investigate the fine-scale spatial and temporal changes in aerosol concentrations related to industrialization and urbanization (Streets et al, 2009;Kanakidou, 2014).…”

Section: Introductionmentioning

confidence: 99%

Spatial and seasonal variations of aerosols over China from two decades of multi-satellite observations – Part 2: AOD time series for 1995–2017 combined from ATSR ADV and MODIS C6.1 and AOD tendency estimations

et al. 2018

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Abstract. Understanding long-term variations in aerosol loading is essential for evaluating the health and climate effects of airborne particulates as well as the effectiveness of pollution control policies. The expected satellite lifetime is about 10 to 15 years. Therefore, to study the variations of atmospheric constituents over longer periods information from different satellites must be utilized. Here we introduce a method to construct a combined annual and seasonal long time series of AOD at 550 nm using the Along-Track Scanning Radiometers (ATSR: ATSR-2 and AATSR combined) and the MODerate resolution Imaging Spectroradiometer on Terra (MODIS/Terra), which together cover the 1995–2017 period. The long-term (1995–2017) combined AOD time series are presented for all of mainland China, for southeastern (SE) China and for 10 selected regions in China. Linear regression was applied to the combined AOD time series constructed for individual L3 (1∘ × 1∘) pixels to estimate the AOD tendencies for two periods: 1995–2006 (P1) and 2011–2017 (P2), with respect to the changes in the emission reduction policies in China. During P1, the annually averaged AOD increased by 0.006 (or 2 % of the AOD averaged over the corresponding period) per year across all of mainland China, reflecting increasing emissions due to rapid economic development. In SE China, the annual AOD positive tendency in 1995–2006 was 0.014 (3 %) per year, reaching maxima (0.020, or 4 %, per year) in Shanghai and the Pearl River Delta regions. After 2011, during P2, AOD tendencies reversed across most of China with the annually averaged AOD decreasing by −0.015 (−6 %) per year in response to the effective reduction of the anthropogenic emissions of primary aerosols, SO2 and NOx. The strongest AOD decreases were observed in the Chengdu (−0.045, or −8 %, per year) and Zhengzhou (−0.046, or −9 %, per year) areas, while over the North China Plain and coastal areas the AOD decrease was lower than −0.03 (approximately −6 %) per year. In the less populated areas the AOD decrease was small. The AOD tendency varied by both season and region. The increase in the annually averaged AOD during P1 was mainly due to an increase in summer and autumn in SE China (0.020, or 4 %, and 0.016, or 4 %, per year, respectively), while during winter and spring the AOD actually decreased over most of China. The AOD negative tendencies during the 2011–2017 period were larger in summer than in other seasons over the whole of China (ca. −0.021, or −7 %, per year) and over SE China (ca. −0.048, or −9 %, per year). The long-term AOD variations presented here show a gradual decrease in the AOD after 2011 with an average reduction of 30 %–50 % between 2011 and 2017. The effect is more visible in the highly populated and industrialized regions in SE China, as expected.

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Section: Introductionmentioning

confidence: 99%

Spatial and seasonal variations of aerosols over China from two decades of multi-satellite observations – Part 2: AOD time series for 1995–2017 combined from ATSR ADV and MODIS C6.1 and AOD tendency estimations

et al. 2018

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“…As PM2.5 level increased, health effects and diseases burden had more attention. An increase of 10 μg/m 3 of PM2.5 was associated with 12% increases in the risk of mortality from lung cancer, and the concentration response curve suggested a nonlinear relationship between PM2.5 and mortality in China, where the exposure is higher than exposure in developed countries [17]. Therefore, research on the association between PM2.5 and lung cancer is very important and necessary, this is helpful to understand the impact of PM2.5 on lung cancer in China and formulate targeted measures.…”

Section: Discussionmentioning

confidence: 95%

The Analysis in the Burden of Lung Cancer Attributable to PM2.5 Exposure in China

wu¹,

Zhu

Zhou

et al. 2020

Preprint

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Objective Air pollution is the major contributor of lung cancer mortality, we want to analyze the long-term trends and the differences in lung cancer burden attributable to PM2.5 exposure between ambient air pollution and household air pollution.Methods The indicators (mortality rate, disability-adjusted life years rate, years lived with disability rate, and years of life lost rate) of lung cancer burden were obtained from GBD 2017. The joinpoint regression analysis was used to assess the magnitude and direction of trends from 1990 to 2017, and the age-period-cohort method was used to analyze the temporal trends of the indicators of lung cancer by age, period, and cohort.Results The age-standardized indicators showed an upward trend in ambient PM2.5 exposure (APE) and a downward trend in household PM2.5 exposure (HPE). The overall net drifts per year were above zero for APE and below zero for HPE, and the local drift values in APE and HPE increased by age groups. For the longitudinal age curves, the indicators of lung cancer burden for younger in APE or HPE were in a low level, and significantly increased from 45-49 age group to 90-94 age group. For the period RRs, the indicators of lung cancer burden in APE increased from 1990 to 2017, but decreased in HPE from 1990 to 2017. For the cohort RRs, the indicators of lung cancer burden in APE was on the upward trend before 1965, and fluctuated after from 1970 to 1990. The indicators of lung cancer burden in HPE was on the downward trend.Conclusions For lung cancer attributable to air pollution, China had changed from household air pollution to ambient air pollution. PM2.5 exposure had more harmful in male and older people. Ambient air pollution should be emphasized, China should strengthen implementation of effective public policies and other interventions.

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“…Based on longitudinal data, a panel data model (PDM) is capable of describing individual differences and overcoming the problem of multicollinearity, providing more information and higher estimation efficiency [44]. A general PDM can be expressed as:…”

Section: Methodsmentioning

confidence: 99%

Maternal Health and Green Spaces in China: A Longitudinal Analysis of MMR Based on Spatial Panel Model

et al. 2019

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The positive impact of green spaces on public health has attracted increasing attention, and maternal health has also been shown to be related to green spaces. However, there are different kinds of green space indicators that represent different mechanisms for mitigating maternal health, and few studies have investigated the different relevance amongst them with longitudinal data. This study explores the correlation between various green space indicators and maternal health using spatial panel models with provincial data from China from 2007 to 2016. The results indicate that all kinds of green spaces could decrease maternal mortality, wherein public green spaces may play a key role. In terms of spatial correlation, an increase in green space coverage in adjacent provinces may also result in a slight decline in maternal mortality. This paper provides valuable insight into the correlation between maternal health and green spaces.

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China’s Air Quality and Respiratory Disease Mortality Based on the Spatial Panel Model

Cited by 35 publications

References 35 publications

Spatial and seasonal variations of aerosols over China from two decades of multi-satellite observations – Part 2: AOD time series for 1995–2017 combined from ATSR ADV and MODIS C6.1 and AOD tendency estimations

Spatial and seasonal variations of aerosols over China from two decades of multi-satellite observations – Part 2: AOD time series for 1995–2017 combined from ATSR ADV and MODIS C6.1 and AOD tendency estimations

The Analysis in the Burden of Lung Cancer Attributable to PM2.5 Exposure in China

Maternal Health and Green Spaces in China: A Longitudinal Analysis of MMR Based on Spatial Panel Model

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