2022
DOI: 10.1016/j.envint.2021.106969
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Long-term exposure to PM2.5 major components and mortality in the southeastern United States

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Cited by 48 publications
(39 citation statements)
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“…Being positive correlated with viral disease transmission, outdoor exposure to PM2.5 and PM10 had a tendency to increase COVID-19 incidence and mortality. These findings are supported by previous scientific studies ( Tung et al, 2021 ; Wang et al, 2022 ; Setti et al, 2020a ; Setti et al, 2020b ; Chakrabarty et al, 2021 ; Wang et al, 2021 ; Zhu et al, 2020 ; Belosi et al, 2021 ), where they found a significant correlation between the daily PM10 exceedances and COVID-19 spreading.
Fig.
…”
Section: Resultssupporting
confidence: 90%
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“…Being positive correlated with viral disease transmission, outdoor exposure to PM2.5 and PM10 had a tendency to increase COVID-19 incidence and mortality. These findings are supported by previous scientific studies ( Tung et al, 2021 ; Wang et al, 2022 ; Setti et al, 2020a ; Setti et al, 2020b ; Chakrabarty et al, 2021 ; Wang et al, 2021 ; Zhu et al, 2020 ; Belosi et al, 2021 ), where they found a significant correlation between the daily PM10 exceedances and COVID-19 spreading.
Fig.
…”
Section: Resultssupporting
confidence: 90%
“…Is well known that exposure to nitrogen dioxide, sulfur dioxide and carbon monoxide causes respiratory symptoms and changes in airway physiology, being important contributors for associated COVID-19 comorbidities. These findings are supported by other scientific studies ( Tung et al, 2021 ; Wang et al, 2022 ; Setti et al, 2020a ; Penache and Zoran, 2019b ), where they found a significant correlation between the daily average gaseous pollutants concentrations exceedances and COVID-19 spreading.…”
Section: Resultssupporting
confidence: 87%
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“…We use this approach to ensure comparability with other literature on ARIs in SSA using DHS data [ 44 , 45 , 46 ]. We also add to a growing number of studies using remote sensing data to understand the impact of air pollution on human health [ 47 , 48 , 49 , 50 , 51 ].…”
Section: Introductionmentioning
confidence: 99%