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Montse Marquès

Researcher at Rovira i Virgili University

Publications -  60
Citations -  1724

Montse Marquès is an academic researcher from Rovira i Virgili University. The author has contributed to research in topics: Population & Medicine. The author has an hindex of 17, co-authored 46 publications receiving 864 citations.

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Influence of airborne transmission of SARS-CoV-2 on COVID-19 pandemic. A review.

TL;DR: The results of most studies here reviewed suggest that chronic exposure to certain air pollutants leads to more severe and lethal forms of COVID-19 and delays/complicates the recovery of patients of patients infected by this coronavirus.
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Meat consumption: Which are the current global risks? A review of recent (2010-2020) evidences.

TL;DR: The results of the investigations conducted after the statement of the IARC have corroborated the recommendation of reducing significantly the consumption of red meats and meat products, and should contribute to the reduction of GHG emissions and their considerable impact on global warming and climate change.
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Climate change and environmental concentrations of POPs: A review.

TL;DR: An intensification of studies to identify and mitigate the indirect effects of the climate change on POP fate is needed to minimize the human health impact, and interactions between climate change and POPs must be addressed from an international perspective.
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Contamination of inert surfaces by SARS-CoV-2: Persistence, stability and infectivity. A review.

TL;DR: Although the presence of SARS-CoV-2 on inanimate surfaces can represent a potential route of the transmission, appropriate disinfection measures should reduce the possibilities of transmission of the coronavirus, and hence, significantly decrease the risks of COVID-19.
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Positive association between outdoor air pollution and the incidence and severity of COVID-19. A review of the recent scientific evidences.

TL;DR: It is concluded that there is a significant association between chronic exposure to various outdoor air pollutants: PM2.5, PM10, O3, NO2, SO2 and CO, and the incidence/risk of COVID-19 cases, as well as the severity/mortality of the disease.