2021
DOI: 10.1016/j.atmosenv.2021.118342
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Estimating short-term mortality benefits associated with a reduction in tropospheric ozone

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Cited by 13 publications
(6 citation statements)
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“…The different rates of infection and mortality due to COVID-19 in various regions of the world may be attributed to air quality and meteorological conditions (temperature and relative humidity) as well as demographic characteristics (e.g., age, gender, race, ethnicity, and income). Air pollution has numerous adverse impacts on human health and can lead to premature mortality (Ahmadi et al, 2020 ; Bell et al, 2004 ; Farzad et al, 2020 , 2021 ; Hoek et al, 2013 ; Janssen et al, 2012 ; Krewski et al, 2009 ; Mirzaei et al, 2021 ). The potential association between different pollutants (specifically PM 2.5 ) and COVID-19 mortality has been recently examined mainly in China, Italy, and the USA (Bashir et al, 2020 ; Coker et al, 2020 ; Contini & Costabile, 2020 ; Copat et al, 2020 ; Deek, 2020 ; Domingo & Rovira, 2020 ; Fattorini & Regoli, 2020 ; Frontera et al, 2020 ; Hendryx & Luo, 2020 ; Jiang & Xu, 2020 ; Stieb et al, 2020 ; Wu et al, 2020 ; Yao et al, 2020a , b ; Zoran 2020a , b ).…”
Section: Introductionmentioning
confidence: 99%
“…The different rates of infection and mortality due to COVID-19 in various regions of the world may be attributed to air quality and meteorological conditions (temperature and relative humidity) as well as demographic characteristics (e.g., age, gender, race, ethnicity, and income). Air pollution has numerous adverse impacts on human health and can lead to premature mortality (Ahmadi et al, 2020 ; Bell et al, 2004 ; Farzad et al, 2020 , 2021 ; Hoek et al, 2013 ; Janssen et al, 2012 ; Krewski et al, 2009 ; Mirzaei et al, 2021 ). The potential association between different pollutants (specifically PM 2.5 ) and COVID-19 mortality has been recently examined mainly in China, Italy, and the USA (Bashir et al, 2020 ; Coker et al, 2020 ; Contini & Costabile, 2020 ; Copat et al, 2020 ; Deek, 2020 ; Domingo & Rovira, 2020 ; Fattorini & Regoli, 2020 ; Frontera et al, 2020 ; Hendryx & Luo, 2020 ; Jiang & Xu, 2020 ; Stieb et al, 2020 ; Wu et al, 2020 ; Yao et al, 2020a , b ; Zoran 2020a , b ).…”
Section: Introductionmentioning
confidence: 99%
“…The Environmental Benefits Mapping and Analysis Program-Community Edition (BenMAP-CE) is a tool developed by the EPA to assess the number of avoidable premature deaths and illnesses that could result from improving air quality and its associated economic benefits. The mortality rate attributed to the PM 2.5 (ΔY) pollutant was calculated using Eq (2) [ 5 , 12 ]: where BI is the basic incidence of death or illness, POP is the at-risk population (over 30 years old), β is the risk estimation coefficient, and DELTAQ is the difference between the current pollutant concentration (Baseline scenario), and the target concentration (Control scenario) [ 2 , 18 ]. It is of note that ΔY was calculated separately for each age group and cause of death.…”
Section: Methodsmentioning
confidence: 99%
“…where BI is the basic incidence of death or illness, POP is the at-risk population (over 30 years old), β is the risk estimation coefficient, and DELTAQ is the difference between the current pollutant concentration (Baseline scenario), and the target concentration (Control scenario) [2,18]. It is of note that ΔY was calculated separately for each age group and cause of death.…”
Section: Plos Onementioning
confidence: 99%
“…where BI is baseline incidence rates, the ratio of number of deaths to the population size in a period of time (Farzad et al 2021 ), and Pop is the given population exposed to the pollutant (Bayat et al 2019 ). DELTAQ is the difference between the current pollutant concentration (baseline scenario) and the target concentration (control scenario) (Liang et al 2019 ; Farzad et al 2020 ; Mirzaei et al 2021 ).…”
Section: Methodsmentioning
confidence: 99%