2020
DOI: 10.3390/healthcare8030271
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Fine Particulate Air Pollution, Public Service, and Under-Five Mortality: A Cross-Country Empirical Study

Abstract: The impacts of fine particulate matter (PM2.5) air pollution on health outcomes, especially those of children, have attracted worldwide attention. Based on the PM2.5 concentration data of 94 countries, including the least developed countries estimated by satellite observations in nearly 20 years, this paper investigated the impacts of PM2.5 pollution on under-five mortality rate (U5MR) and analyzed the role of public service in moderating the PM2.5-mortality relationship. Results indicated that PM2.5 pollution… Show more

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Cited by 5 publications
(2 citation statements)
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References 75 publications
(127 reference statements)
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“…It may also be because the estimate by Karimi and Shokrinezhad (46) was a pooled estimate, and the majority of studies included were from developed nations. The magnitude of the effect of PM 2.5 on under-five mortality is higher among developing and least developed countries compared to developed countries (47). Fine particulate matter, as a result of its smaller mass concentration diameter size, can penetrate the blood-gas barrier.…”
Section: Discussionmentioning
confidence: 99%
“…It may also be because the estimate by Karimi and Shokrinezhad (46) was a pooled estimate, and the majority of studies included were from developed nations. The magnitude of the effect of PM 2.5 on under-five mortality is higher among developing and least developed countries compared to developed countries (47). Fine particulate matter, as a result of its smaller mass concentration diameter size, can penetrate the blood-gas barrier.…”
Section: Discussionmentioning
confidence: 99%
“…Van Donkelaar employed a GWR model to demonstrate the accuracy of satellite data in Mainland of China(R 2 =0.81) (van Donkelaar et al, 2019). To date, this dataset has been widely used to assess health risks (Guo et al, 2020b;Liu et al, 2020). We calculated and extracted the average concentration of PM2.5 by the polygon of each county over the periods of 2007-2015.…”
Section: Variablementioning
confidence: 99%