Correction to: Impact of air pollution on hospital admissions with a focus on respiratory diseases: a time-series multi-city analysis

Slama, Alessandro; Śliwczyński, Andrzej; Woźnica, Jolanta; Zdrolik, Maciej; Wiśnicki, Bartłomiej; Kubajek, Jakub; Turżańska-Wieczorek, Olga; Gozdowski, Dariusz; Wierzba, Waldemar; Franek, Edward

doi:10.1007/s11356-020-08838-6

Cited by 4 publications

(2 citation statements)

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“…PM has gained significant attention due to the increasing concerns related to their effects on human health [24]. A large time-scale observation in major Polish cities between 2014-2017 showed a link between an increase in exposure to pollution in the ambient air and an increase in respiratory tract issues requiring hospital treatment and that, in turn, was correlated with PM2.5 and PM10 [25]. Air pollution at ground level, especially PM2.5, is associated with many of adverse health effects.…”

Section: Emissions Of Pollutants In Polandmentioning

confidence: 99%

Modelling the Interaction between Air Pollutant Emissions and Their Key Sources in Poland

et al. 2021

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The main purpose of this study is to investigate the relationships between key sources of air pollutant emissions (sources of energy production, factories which are particularly harmful to the environment, the fleets of cars, environmental protection expenditure) and the main environmental air pollution (SO2, NOx, CO and PM) in Poland. Models based on MLP neural networks were used as predictive models. Global sensitivity analysis was used to demonstrate the significant impact of individual network input variables on the output variable. To verify the effectiveness of the models created, the actual data were compared with the data obtained through modelling. Projected courses of changes in the variables under study correspond with the real data, which confirms that the proposed models generalize acquired knowledge well. The high MLP network quality parameters of 0.99–0.85 indicate that the network generalizes the acquired knowledge accurately. The sensitivity analysis for NOx, CO and PM pollutants indicates the significance of all input variables. For SO2, it showed significance for four of the six variables analysed. The predictions made by the neural models are not very different from the experimental values.

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Section: Emissions Of Pollutants In Polandmentioning

confidence: 99%

Modelling the Interaction between Air Pollutant Emissions and Their Key Sources in Poland

et al. 2021

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“…Researches demonstrated that there were more studies related to SARS-COV-2 transmission from hospital air from Asian countries (Iran, China, Singapore) and the highest number of researches was related to China (Aghalari et al, 2021). Many studies had been conducted on the effects from indoor air pollutants in hospitals such as carbon dioxide, carbon monoxide, formaldehyde, fungi and mold (Gola et al, 2019;Slama et al, 2019), but there is few researches on viruses in the hospitals air and role of ventilation. Correia et al analyzed the ventilation methods and the airborne pathway of SARS-CoV-2 (Correia et al, 2020).…”

Section: Introductionmentioning

confidence: 99%

Influence of Ventilation in Healthcare Facilities Prevention of Infection COVID-19: Systematic Review Study

Fadaei

2021

EUR J SUSTAIN DEV RES

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COVID-19 global pandemic is caused by a member of the Coronaviridae group. Some human viruses are spread from human to human by way of droplets or aerosols, but fewer viruses are persistently airborne in transmission, and the healthcare-associated epidemic of airborne viral infection are restricted to very few surrogates. In addition, it is one of the most efficient tools (i.e., the second one) for preventing inside air pollution through ventilation. To our aim was to perform a rapid literature review to answer the following question: does ventilation in healthcare facilities prevention of infection COVID-19?This study is a systematic review by searching among published articles in Embase, PubMed/MEDLINE, Scopus, PubMed Central (PMC), Google Scholar databases as well as medRxiv by using the following keywords: 'COVID-19', 'healthcare settings', 'prevention', 'ventilation', 'Hospital, 'Infection', and 'Air changes per hour.After investigating the information and quality of articles, 52 articles were included in this study. The literature denotes that temperature, relative humidity, and ventilation and air conditioning systems have beneficial effects to prevent COVID-19 infection.The results of this study demonstrated that many parameters basic strategy of control COVID-19 include: hand hygiene, social distancing, screening and case finding, isolation and separating, decontamination and disinfection, and effective ventilation. Thus, based on recommendations of CDC, WHO, and other studies effective ventilation is the most important transmission of respiratory disease control strategy, specially COVID-19.

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Air pollution and corporate innovation: incentive or resistance? Evidence from regression discontinuity

Zhang

2022

Environ Sci Pollut Res

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Correction to: Impact of air pollution on hospital admissions with a focus on respiratory diseases: a time-series multi-city analysis

Abstract: All measurements in the paper are to be understood as expressed in mg/m 3 , it means that in Table 2, Fig. 1, Table 6 and two instances in the results sections in paragraph 3 (when citing the NO 2 concentration) all "ppb" concentrations should have been instead labelled as "mg/m 3 ".

Cited by 4 publications

References 0 publications

Modelling the Interaction between Air Pollutant Emissions and Their Key Sources in Poland

Modelling the Interaction between Air Pollutant Emissions and Their Key Sources in Poland

Influence of Ventilation in Healthcare Facilities Prevention of Infection COVID-19: Systematic Review Study

Air pollution and corporate innovation: incentive or resistance? Evidence from regression discontinuity

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