Comparison between AirQ+ and BenMAP-CE in estimating the health benefits of PM2.5 reduction

Mirzaei, Asma; Tahriri, Hannaneh; Khorsandi, Babak

doi:10.1007/s11869-021-00980-5

Cited by 27 publications

(21 citation statements)

References 44 publications

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“…This shows that if the input functions are the same, the results are not very different and both software can be used together or separately as a tool for health impact assessment (Sacks et al 2020 ). A slight difference was observed in similar previous studies comparing results in BenMAP-CE and AirQ + (Bayat et al 2019 ; Sacks et al 2020 ; Mirzaei et al 2021 ). Given the differences and similarities between AirQ + and BenMAP-CE, the main difference in BenMAP-CE that has made it superior is the possibility of calculating the associated economic value of reducing pollutants.…”

Section: Discussioncontrasting

confidence: 64%

“…As the latest census was done in 2016, the population for the year 2019 was estimated based on Eq. 1 (Mirzaei et al 2021 ): …”

Section: Methodsmentioning

confidence: 99%

“…where P n is the estimated population, P 0 is the reference population, r is the population growth rate, and n is the number of years between reference and future (Karimi et al 2019 ; Mirzaei et al 2021 ). According to the purpose of this study, the population at risk included people more than 30 year-old.…”

Section: Methodsmentioning

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 ). β , the exposure–response coefficient (Zhu et al 2019 ), is a statistical coefficient derived from epidemiological analysis calculating the relationship between health endpoint and air pollution concentration which varies for different health impact functions (Yang et al 2019 ) and is calculated through Eq.…”

Section: Methodsmentioning

confidence: 99%

“…BenMAP-CE (Environmental Benefits Mapping and Analysis Program-Community Edition) programmed by the US Environmental Protection Agency can be considered one of the most comprehensive software and can be used to calculate both mortality and costs associated with changes in air quality (Bayat et al 2019 ; Kim et al 2019a , b ). Since the release of this software, various studies have employed the software to assess the health and economic effects of air pollutants (Ding et al 2016 ; Sacks et al 2018 , 2020 ; Bayat et al 2019 ; Meng et al 2019 ; Mirzaei et al 2021 ).…”

Section: Introductionmentioning

confidence: 99%

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Health impact assessment and evaluation of economic costs attributed to PM2.5 air pollution using BenMAP-CE

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Section: Discussioncontrasting

confidence: 64%

“…As the latest census was done in 2016, the population for the year 2019 was estimated based on Eq. 1 (Mirzaei et al 2021 ): …”

Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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The effect of fine particulate matter (PM2.5) pollution on health inequality: an intergenerational perspective

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Association between short-term exposure to air pollution and COVID-19 hospital admission/mortality during warm seasons

Khorsandi

Farzad

Tahriri

et al. 2021

Environ Monit Assess

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COVID-19 is a new viral infection that is usually accompanied by respiratory complications. Air pollution has been linked to cardiorespiratory-related diseases and even premature mortality. The short-term exposure to air pollution may aggravate pulmonary symptoms in COVID-19 patients. The relationship between the short-term exposure to air pollution and hospital admission and mortality resulting from COVID-19 will be examined in Tehran, Iran, during the spring and summer of 2020. The statistics of PM 2.5 , PM 10 , and 8-h maximum ozone (O 3 ) concentrations, meteorological conditions, and COVID-19 hospital admissions/mortality were analyzed. The cross-correlation and temporal relationship between the daily concentration of the aforementioned pollutants (as well as the meteorological conditions) and the COVID-19 hospital admissions/mortality rate was calculated for each month. The concentration of PM 2.5 , PM 10 , and 8-h maximum O 3 , along with temperature, increased in the summer. The hospital admissions and mortality associated with COVID-19 decreased from the first peak in the spring and then increased to its second peak in the summer. The short-term exposure to ambient PM 2.5 , PM 10 , O 3 , and elevated temperatures is associated with higher rates of COVID-19-related hospital admissions/mortality throughout the summer. Among these variables, the correlation with O 3 was statistically significant in more summer months. The short-term exposure to air pollution (especially O 3 ) may increase the susceptibility of the population infected with COVID-19 and, therefore, increases the rate of hospital admissions and mortality even during the warm seasons.

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Comparison between AirQ+ and BenMAP-CE in estimating the health benefits of PM2.5 reduction

Cited by 27 publications

References 44 publications

Health impact assessment and evaluation of economic costs attributed to PM2.5 air pollution using BenMAP-CE

Health impact assessment and evaluation of economic costs attributed to PM2.5 air pollution using BenMAP-CE

The effect of fine particulate matter (PM2.5) pollution on health inequality: an intergenerational perspective

Association between short-term exposure to air pollution and COVID-19 hospital admission/mortality during warm seasons

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