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  1. Article ; Online: Gaussian approach for probability and correlation between the number of COVID-19 cases and the air pollution in Lima.

    Arias Velásquez, Ricardo Manuel / Mejía Lara, Jennifer Vanessa

    Urban climate

    2020  Volume 33, Page(s) 100664

    Abstract: ... considered March and April 2020, for air quality measurement and infections in Lima, the data collected on 6 ... COVID-19), they were reported in Lima, Peru (Rodriguez-Morales et al., 2020). Therefore, the first week ... At the end of February 2020, Peru started the first cases of pneumonia associated with coronavirus ...

    Abstract At the end of February 2020, Peru started the first cases of pneumonia associated with coronavirus (COVID-19), they were reported in Lima, Peru (Rodriguez-Morales et al., 2020). Therefore, the first week on March started with 72 infected people, the government published new law for a national crisis by COVID-19 pandemic (Vizcarra et al., 2020), with a quarantine in each city of Peru. Our analysis has considered March and April 2020, for air quality measurement and infections in Lima, the data collected on 6 meteorological stations with CO (carbon monoxide), NO
    Keywords covid19
    Language English
    Publishing date 2020-07-03
    Publishing country Netherlands
    Document type Journal Article
    ISSN 2212-0955
    ISSN (online) 2212-0955
    DOI 10.1016/j.uclim.2020.100664
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: Gaussian approach for probability and correlation between the number of COVID-19 cases and the air pollution in Lima

    Arias Velásquez, Ricardo Manuel / Mejía Lara, Jennifer Vanessa

    Urban Climate

    2020  Volume 33, Page(s) 100664

    Keywords Geography, Planning and Development ; Atmospheric Science ; Environmental Science (miscellaneous) ; Urban Studies ; covid19
    Language English
    Publisher Elsevier BV
    Publishing country us
    Document type Article ; Online
    ISSN 2212-0955
    DOI 10.1016/j.uclim.2020.100664
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  3. Article: Gaussian approach for probability and correlation between the number of COVID-19 cases and the air pollution in Lima

    Arias Velásquez, Ricardo Manuel / Mejía Lara, Jennifer Vanessa

    Urban Clim.

    Abstract: ... results have demonstrated influence of industrial influence in air pollution and infections by COVID-19 ... and environmental dynamics and global change associated COVID-19. An evaluation of zones in Lima city ... model by Reduced-Space Gaussian Process Regression for air pollution and infections; with technological ...

    Abstract At the end of February 2020, Peru started the first cases of pneumonia associated with coronavirus (COVID-19), they were reported in Lima, Peru (Rodriguez-Morales et al., 2020). Therefore, the first week on March started with 72 infected people, the government published new law for a national crisis by COVID-19 pandemic (Vizcarra et al., 2020), with a quarantine in each city of Peru. Our analysis has considered March and April 2020, for air quality measurement and infections in Lima, the data collected on 6 meteorological stations with CO (carbon monoxide), NO 2(nitrogen oxide), O 3(ozone), SO 2(sulfur dioxide), PM 10and PM 2.5(particle matter with diameter aerodynamic less than 2.5 and 10 m respectively). As a result, the average of these concentrations and the hospital information is recollected per hour. This analysis is executed during the quarantine an important correlation is discovered in the zone with highest infection by COVID-19, NO 2and PM 10, even though in a reduction of air pollution in Lima. In this paper, we proposed a classification model by Reduced-Space Gaussian Process Regression for air pollution and infections; with technological and environmental dynamics and global change associated COVID-19. An evaluation of zones in Lima city, results have demonstrated influence of industrial influence in air pollution and infections by COVID-19 before and after quarantine during the last 28 days since the first infection in Peru; the problems relating to data management were validated with a successful classification and cluster analysis for future works in COVID-19 influence by environmental conditions.
    Keywords covid19
    Publisher WHO
    Document type Article
    Note WHO #Covidence: #624774
    Database COVID19

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