Tracing the sources of PM2.5-related health burden in China

Development of a Method to Determine the Environmental Burden of Diseases and an Application to Identify Factors Driving Changes in the Number of PM2.5-Related Deaths in China between 2000 and 2010

“…9,29,43 Other studies assumed that mortality depended on exposure and calculated the baseline mortality rate by adjusting the nationwide average according to local exposure data. 11,14,44 In contrast, previous studies on internally attributable risk focused only on the target exposure and thus underestimated the importance of coexposure of nontarget factors. Therefore, few studies have distinguished drivers of PM 2.5 -related deaths based on internally attributable risks.…”

“…In most studies, baseline mortality rates were usually derived from reanalysis of observational databases provided by authoritative organizations (e.g., the GBD database), , surveys, registries, yearbooks, or censuses, or from surveillance data. ,,,, However, such data usually have a coarse resolution (e.g., national- or provincial-level data). Some studies calculated the number of deaths in subregions (e.g., at the county or pixel level), hypothesizing that mortality rates are invariant across subregions. ,, Other studies assumed that mortality depended on exposure and calculated the baseline mortality rate by adjusting the nationwide average according to local exposure data. ,, In contrast, previous studies on internally attributable risk focused only on the target exposure and thus underestimated the importance of coexposure of nontarget factors. Therefore, few studies have distinguished drivers of PM 2.5 -related deaths based on internally attributable risks.…”

Revealing the impact of built environment, air pollution and housing price on health inequality: an empirical analysis of Nanjing, China

“…This study collects the mortality data of non-accidental causes (A00-R99) in 2020 from the Jiangsu Provincial Center for Disease Prevention and Control (18,19), which is classified by the International Statistical Classification of Disease and Related Health Problems, 10th Revision. 3 Compared to using medical data such as morbidity and hospital admissions (20,21) to depict the average health outcome of an area, the POI data of mortality used in this study can more accurately characterize the personal health status at 1 km × 1 km grid scale. Previous studies have used grid mortality data (22,23) to represent health outcomes and examine the health burden due to ambient pollution.…”

“…Every year, millions of people die prematurely due to exposure to ambient PM 2.5 . In China, a study based on monitored concentrations and an integrated exposure response model estimated that 740,140 [95% confidence interval (CI): 646,538–839,968] premature fatalities in 2020were attributable to PM 2.5 ( 3 ). Therefore, mitigating the impact of air pollution on human health has become a critical public health issue ( 4 ).…”

Experimental Investigation on PM10 and PM2.5 Concentrations in North Bandung

“…Apart from causing ARI, PM2.5 and PM10 pollutions can also cause other diseases, depending on the substances or materials contained in these particulates [9,[18][19][20][21]. As in other big cities, the city of Bandung also has a big potential to face quite severe air pollution, as faced by several cities in China and India [22][23][24].…”