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Links between air pollution and COVID-19 in England
Marco Travaglio; Yizhou Yu; Rebeka Popovic; Liza Selley; Nuno Santos Leal; L. Miguel Martins.
Afiliação
  • Marco Travaglio; University of Cambridge
  • Yizhou Yu; University of Cambridge
  • Rebeka Popovic; University of Cambridge
  • Liza Selley; University of Cambridge
  • Nuno Santos Leal; University of Cambridge
  • L. Miguel Martins; University of Cambridge
Preprint em En | PREPRINT-MEDRXIV | ID: ppmedrxiv-20067405
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ABSTRACT
In December 2019 a novel disease coronavirus disease 19 (COVID-19) emerged in the Wuhan province of the Peoples Republic of China. COVID-19 is caused by a novel coronavirus (SARS-CoV-2) thought to have jumped species, from another mammal to humans. A pandemic caused by this virus is running rampant throughout the world. Thousands of cases of COVID-19 are reported in England and over 10,000 patients have died. Whilst there has been progress in managing this disease, it is not clear which factors, besides age, affect the severity and mortality of COVID-19. A recent analysis of COVID-19 in Italy identified links between air pollution and death rates. Here, we explored the correlation between three major air pollutants linked to fossil fuels and SARS-CoV-2 lethality in England. We compare up-to-date, real-time SARS-CoV-2 cases and death measurements from public databases to air pollution data monitored across over 120 sites in different regions. We found that the levels of some markers of poor air quality, nitrogen oxides and ozone, are associated with COVID-19 lethality in different English regions. We conclude that the levels of some air pollutants are linked to COVID-19 cases and morbidity. We suggest that our study provides a useful framework to guide health policy in countries affected by this pandemic.
Texto completo: 1 Coleções: 09-preprints Base de dados: PREPRINT-MEDRXIV Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2020 Tipo de documento: Preprint
Texto completo: 1 Coleções: 09-preprints Base de dados: PREPRINT-MEDRXIV Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2020 Tipo de documento: Preprint