2022
DOI: 10.1017/s0950268821002570
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The impact of meteorological factors and PM2.5 on COVID-19 transmission

Abstract: In this study, we analysed the relationship between meteorological factors and the number of patients with COVID-19. The study period was from April 12, 2020 to October 13, 2020, and daily meteorological data and the daily number of patients with COVID-19 in each state of the United States were collected. Based on the number of COVID-19 patients in each state of the United States, we selected four states (California, Florida, New York, Texas) for analysis. One-way ANOVA(Analysis of Variance), scatter plot anal… Show more

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Cited by 12 publications
(7 citation statements)
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“…Although linkages between air pollution and increased rates of hospitalization and deaths due to COVID-19 have been already demonstrated, the previously presented results were elaborated mainly on a population level and had a correlation nature ( Accarino et al, 2021 ; Bashir et al, 2020 ; Beig et al, 2020 ; Coker et al, 2020 ; Isphording and Pestel, 2021 ; Magazzino et al, 2020 ; Martinez-Boubeta and Simeonidis, 2022 ; Wu et al, 2020 ; Zhou et al, 2022 ). Moreover, these studies did not explore the potential associations between airborne B(a)P and COVID-19.…”
Section: Discussionmentioning
confidence: 99%
“…Although linkages between air pollution and increased rates of hospitalization and deaths due to COVID-19 have been already demonstrated, the previously presented results were elaborated mainly on a population level and had a correlation nature ( Accarino et al, 2021 ; Bashir et al, 2020 ; Beig et al, 2020 ; Coker et al, 2020 ; Isphording and Pestel, 2021 ; Magazzino et al, 2020 ; Martinez-Boubeta and Simeonidis, 2022 ; Wu et al, 2020 ; Zhou et al, 2022 ). Moreover, these studies did not explore the potential associations between airborne B(a)P and COVID-19.…”
Section: Discussionmentioning
confidence: 99%
“…It is hypothesized that at low temperatures, aerosols, and small particles (airborne) could linger in the air and potentially transport viruses [4,30,31]. Wind speed is inversely correlated with infection cases [32,33]. Thus, meteorological conditions such as high relative humidity, low temperatures, low solar radiation, and low wind speed values may propitiate the virus to be spread or persist for a long time in the air.…”
Section: Sars-cov-2 Meteorological Parameters Effectmentioning
confidence: 99%
“…This is predominantly due to damage induced in airway epithelial cell cilia and adverse impact on immune responses through stimulation of proinflammatory cytokine production and increased levels of reactive oxygen species, as well as changes of function of dendritic cells, lymphocytes, neutrophils, and macrophages 4–8 . Such effect has been documented for infections with influenza viruses, rhinoviruses, and respiratory syncytial virus 9–11 and more recently in relation to SARS‐CoV‐2 12–16 . The association between respiratory disease and air pollutants is particularly relevant for regions where coal and wood combustion continues to play a substantial role in domestic heating and contribute to the emission of particulate matter <10 μm (PM 10 ) and <2.5 μm (PM 2.5 ), and PM‐bound polycyclic aromatic hydrocarbons such as benzo(a)pyrene (B(a)P).…”
Section: Introductionmentioning
confidence: 99%
“…[4][5][6][7][8] Such effect has been documented for infections with influenza viruses, rhinoviruses, and respiratory syncytial virus [9][10][11] and more recently in relation to SARS-CoV-2. [12][13][14][15][16] The association between respiratory disease and air pollutants is particularly relevant for regions where coal and wood combustion continues to play a substantial role in domestic heating and contribute to the emission of particulate matter <10 μm (PM 10 ) and <2.5 μm (PM 2.5 ), and PM-bound polycyclic aromatic hydrocarbons such as benzo(a)pyrene (B(a)P). These regions include Poland, where air pollution in nearly all areas exceeds air standards, particularly during the autumn-winter season.…”
Section: Introductionmentioning
confidence: 99%