Improving indoor air quality through an air purifier able to reduce aerosol particulate matter (PM) and volatile organic compounds (VOCs): Experimental results

Fermo, P.; Artı́ñano, Begoña; Gennaro, Gianluigi de; Pantaleo, Antonio; Parente, Alessandro; Battaglia, Fiorella; Colicino, Elena; Tanna, Gian Luca Di; Gonçalves, Luiz Marcos Garcia; Pereira, Igor Gadelha; Garcia, Gabriel S.; Gonçalves, Luiz Marcos Garcia; Comite, Valeria; Miani, Alessandro

doi:10.1016/j.envres.2021.111131

Cited by 66 publications

(32 citation statements)

References 31 publications

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“…For that purpose, it will be necessary in future work to rank-order factors (in order of relevance), taking into account the literature consensus on factors in COVID-19 infection rate. Some papers list more than 50 potential features for predicting the number of cases, including mobility and climate variables such as temperature, humidity, and air pollution [ 48 ]. To predict deaths, the number of vaccinations, population age, and the number of available ICUs should all be considered.…”

Section: Discussionmentioning

confidence: 99%

National Holidays and Social Mobility Behaviors: Alternatives for Forecasting COVID-19 Deaths in Brazil

Aragão

Santos

Gonçalves

2021

IJERPH

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In this paper, we investigate the influence of holidays and community mobility on the transmission rate and death count of COVID-19 in Brazil. We identify national holidays and hallmark holidays to assess their effect on disease reports of confirmed cases and deaths. First, we use a one-variate model with the number of infected people as input data to forecast the number of deaths. This simple model is compared with a more robust deep learning multi-variate model that uses mobility and transmission rates (R0, Re) from a SEIRD model as input data. A principal components model of community mobility, generated by the principal component analysis (PCA) method, is added to improve the input features for the multi-variate model. The deep learning model architecture is an LSTM stacked layer combined with a dense layer to regress daily deaths caused by COVID-19. The multi-variate model incremented with engineered input features can enhance the forecast performance by up to 18.99% compared to the standard one-variate data-driven model.

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Section: Discussionmentioning

confidence: 99%

National Holidays and Social Mobility Behaviors: Alternatives for Forecasting COVID-19 Deaths in Brazil

Aragão

Santos

Gonçalves

2021

IJERPH

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“…Consequently, it is critical to maintain a healthy home environment. Using an air purifier can be beneficial in this endeavour, as indoor air quality has been shown to significantly influence the transmission of viral infections such as COVID19 ( Fermo et al, 2021 ). Given the crucial nature of better indoor air quality to contain the spread of the COVID-19 pandemic, air purifier devices could be successfully applied in particularly crowded areas and critical environments.…”

Section: Conclusion and Policy Implicationsmentioning

confidence: 99%

The asymmetric nexus between air pollution and COVID-19: Evidence from a non-linear panel autoregressive distributed lag model

Chen

Akram

Irfan

et al. 2022

Environmental Research

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The emergence of a new coronavirus (COVID-19) has become a major global concern that has damaged human health and disturbing environmental quality. Some researchers have identified a positive relationship between air pollution (fine particulate matter PM 2.5 ) and COVID-19. Nonetheless, no inclusive investigation has comprehensively examined this relationship for a tropical climate such as India. This study aims to address this knowledge gap by investigating the nexus between air pollution and COVID-19 in the ten most affected Indian states using daily observations from 9th March to September 20, 2020. The study has used the newly developed Hidden Panel Cointegration test and Nonlinear Panel Autoregressive Distributed Lag (NPARDL) model for asymmetric analysis. Empirical results illustrate an asymmetric relationship between PM 2.5 and COVID-19 cases. More precisely, a 1% change in the positive shocks of PM 2.5 increases the COVID-19 cases by 0.439%. Besides, the estimates of individual states expose the heterogeneous effects of PM 2.5 on COVID-19. The asymmetric causality test of Hatemi-J's (2011) also suggests that the positive shocks on PM 2.5 Granger-cause positive shocks on COVID19 cases. Research findings indicate that air pollution is the root cause of this outbreak; thus, the government should recognize this channel and implement robust policy guidelines to control the spread of environmental pollution.

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“…The use of nanofiltration equipment is very effective in reducing the pathological processes related to environmental pollution, such as silicosis or viral infections ( Boczkowski and Hoet, 2010 ; Fermo et al, 2021 ), whereas exposure to nanoparticles has been shown to be a major risk for morbidity and mortality ( Nishihama et al, 2021 ). However, the beneficial effects of the removal of such nanoparticles for healthy subjects or in the absence of pathologies are not currently known.…”

Section: Discussionmentioning

confidence: 99%

Removal of Environmental Nanoparticles Increases Protein Synthesis and Energy Production in Healthy Humans

Antuña

Bermejo-Millo

Caso-Onzain³

et al. 2022

Front. Bioeng. Biotechnol.

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Currently, industrial activity causes the environmental release of nanoparticles that have multiple adverse effects on population health. There is a clear correlation between the increase in particulate air pollution and the increases in mortality and morbidity rates in both adults and children, which demonstrates the toxic effects of these particles. However, the effect of particle removal on healthy individuals is unknown. Thus, in this preliminary study, we showed, for the first time, how the filtering equipment that we used significantly reduced a large amount of nanoparticles in a minimum time and induced a reduction of oxidative damage in healthy individuals of both sexes after 25, 50 and 100 days of exposure. These effects led to increased protein synthesis and enhanced mitochondrial efficiency, thus resulting in a highly significant triggering of ATP synthesis. These results not only provide insight into the chronic effects that environmental nanoparticles have on individuals prior to the development of pathologies but also demonstrate a system capable of reversing nanoparticle toxicity and allowing cellular energy recovery.

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Improving indoor air quality through an air purifier able to reduce aerosol particulate matter (PM) and volatile organic compounds (VOCs): Experimental results

Cited by 66 publications

References 31 publications

National Holidays and Social Mobility Behaviors: Alternatives for Forecasting COVID-19 Deaths in Brazil

National Holidays and Social Mobility Behaviors: Alternatives for Forecasting COVID-19 Deaths in Brazil

The asymmetric nexus between air pollution and COVID-19: Evidence from a non-linear panel autoregressive distributed lag model

Removal of Environmental Nanoparticles Increases Protein Synthesis and Energy Production in Healthy Humans

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