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  1. AU="Martelletti, Luigi"
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  1. Article ; Online: Air Pollution and the Novel Covid-19 Disease: a Putative Disease Risk Factor.

    Martelletti, Luigi / Martelletti, Paolo

    SN comprehensive clinical medicine

    2020  Volume 2, Issue 4, Page(s) 383–387

    Keywords covid19
    Language English
    Publishing date 2020-04-15
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2947211-8
    ISSN 2523-8973 ; 2523-8973
    ISSN (online) 2523-8973
    ISSN 2523-8973
    DOI 10.1007/s42399-020-00274-4
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: Air Pollution and the Novel Covid-19 Disease

    Martelletti, Luigi / Martelletti, Paolo

    SN Comprehensive Clinical Medicine

    a Putative Disease Risk Factor

    2020  Volume 2, Issue 4, Page(s) 383–387

    Keywords covid19
    Language English
    Publisher Springer Science and Business Media LLC
    Publishing country us
    Document type Article ; Online
    ZDB-ID 2947211-8
    ISSN 2523-8973
    ISSN 2523-8973
    DOI 10.1007/s42399-020-00274-4
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

    Full text online

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    Order via subito

    This service is chargeable due to the Delivery terms set by subito. Orders including an article and supplementary material will be classified as separate orders. In these cases, fees will be demanded for each order.

  4. Article ; Online: Air pollution and the novel covid-19 disease. a putative disease risk factor

    Martelletti, Luigi / Martelletti, Paolo

    2020  

    Abstract: ... ...

    Abstract Editorial
    Keywords air pollution ; COVID-19 ; risk factors ; covid19
    Language English
    Publisher SpringerNature
    Publishing country it
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

    Full text online

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  5. Article: Association of COVID-19 distribution with air quality, sociodemographic factors, and comorbidities: an ecological study of US states.

    Sarmadi, Mohammad / Moghanddam, Vahid Kazemi / Dickerson, Aisha S / Martelletti, Luigi

    Air quality, atmosphere, & health

    2020  Volume 14, Issue 4, Page(s) 455–465

    Abstract: This ecological study investigated the association between COVID-19 distribution and air quality index (AQI), comorbidities and sociodemographic factors in the USA. The AQI factors included in the study are total AQI, ozone, carbon monoxide, sulfur ... ...

    Abstract This ecological study investigated the association between COVID-19 distribution and air quality index (AQI), comorbidities and sociodemographic factors in the USA. The AQI factors included in the study are total AQI, ozone, carbon monoxide, sulfur dioxide, and nitrogen dioxide (NO
    Keywords covid19
    Language English
    Publishing date 2020-10-14
    Publishing country Netherlands
    Document type Journal Article
    ZDB-ID 2424084-9
    ISSN 1873-9326 ; 1873-9318
    ISSN (online) 1873-9326
    ISSN 1873-9318
    DOI 10.1007/s11869-020-00949-w
    Database MEDical Literature Analysis and Retrieval System OnLINE

    Full text online

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  6. Article: Association of COVID-19 distribution with air quality, sociodemographic factors, and comorbidities: an ecological study of US states

    Sarmadi, Mohammad / Moghanddam, Vahid Kazemi / Dickerson, Aisha S / Martelletti, Luigi

    Air Qual Atmos Health

    Abstract: This ecological study investigated the association between COVID-19 distribution and air quality index (AQI), comorbidities and sociodemographic factors in the USA. The AQI factors included in the study are total AQI, ozone, carbon monoxide, sulfur ... ...

    Abstract This ecological study investigated the association between COVID-19 distribution and air quality index (AQI), comorbidities and sociodemographic factors in the USA. The AQI factors included in the study are total AQI, ozone, carbon monoxide, sulfur dioxide, and nitrogen dioxide (NO2). Other demographic, socioeconomic, and geographic variables were included as covariates. The correlations of COVID-19 variables-proportion of cases and deaths in each population, as well as case fatality rate with independent variables were determined by Pearson and Spearman correlation and multiple linear regression analyses. The results revealed that AQI-NO2, population density, longitude, gross domestic product per capita, median age, total death of disease, and pneumonia per population were significantly associated with the COVID-19 variables (P < 0.05). Air pollutants, especially NO2 in the US case, could be addressed as an important factor linked with COVID-19 susceptibility and mortality.
    Keywords covid19
    Publisher WHO
    Document type Article
    Note WHO #Covidence: #880347
    Database COVID19

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