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  1. Article: How the global health security index and environment factor influence the spread of COVID-19: A country level analysis.

    Leichtweis, Bruno Grespan / de Faria Silva, Letícia / da Silva, Felipe Lopes / Peternelli, Luiz Alexandre

    One health (Amsterdam, Netherlands)

    2021  Volume 12, Page(s) 100235

    Abstract: ... of temperature, relative humidity, solar radiation index, and GHS score on the spread rate of COVID-19 ... while also considering the Global Health Security Index (GHS). We collected data from confirmed cases ... of COVID-19 along with their respective GHS notes and climate data, from December 31, 2019 to April 13 ...

    Abstract The progress of viral diseases such as the new coronavirus (COVID-19) can be influenced not only by social isolation policies, but also by climatic factors. Understanding how these factors affect the progress of the pandemic caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) may be essential to know the risks each country is facing because of the disease. In this study, we verified the existence of a relationship between the basic reproduction number (R0) of SARS-CoV-2 with different climate variables, while also considering the Global Health Security Index (GHS). We collected data from confirmed cases of COVID-19 along with their respective GHS notes and climate data, from December 31, 2019 to April 13, 2020, for 52 countries. The generalized additive model (GAM) was applied to explore the effect of temperature, relative humidity, solar radiation index, and GHS score on the spread rate of COVID-19. The countries that showed similarity to each other were grouped into clusters using the Kohonen self-organizing map methodology to investigate the importance of each variable in the dissemination of the disease. The temperature variable presented a linear relationship (
    Language English
    Publishing date 2021-03-10
    Publishing country Netherlands
    Document type Journal Article
    ZDB-ID 2834831-X
    ISSN 2352-7714
    ISSN 2352-7714
    DOI 10.1016/j.onehlt.2021.100235
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article: How the global health security index and environment factor influence the spread of COVID-19: A country level analysis

    Leichtweis, Bruno Grespan / de Faria Silva, Letícia / da Silva, Felipe Lopes / Peternelli, Luiz Alexandre

    One health. 2021 June, v. 12

    2021  

    Abstract: ... of temperature, relative humidity, solar radiation index, and GHS score on the spread rate of COVID-19 ... while also considering the Global Health Security Index (GHS). We collected data from confirmed cases ... of COVID-19 along with their respective GHS notes and climate data, from December 31, 2019 to April 13 ...

    Abstract The progress of viral diseases such as the new coronavirus (COVID-19) can be influenced not only by social isolation policies, but also by climatic factors. Understanding how these factors affect the progress of the pandemic caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) may be essential to know the risks each country is facing because of the disease. In this study, we verified the existence of a relationship between the basic reproduction number (R0) of SARS-CoV-2 with different climate variables, while also considering the Global Health Security Index (GHS). We collected data from confirmed cases of COVID-19 along with their respective GHS notes and climate data, from December 31, 2019 to April 13, 2020, for 52 countries. The generalized additive model (GAM) was applied to explore the effect of temperature, relative humidity, solar radiation index, and GHS score on the spread rate of COVID-19. The countries that showed similarity to each other were grouped into clusters using the Kohonen self-organizing map methodology to investigate the importance of each variable in the dissemination of the disease. The temperature variable presented a linear relationship (p < 0.001) with the R0, with an explained variation of 36.2%, while the relative humidity variable did not present a significant relationship with the R0. The response curve of the solar radiation variable presented a significant nonlinear relationship (p < 0.001) with an explained variation of 32.3%. The GHS index variable, with a significant nonlinear relationship (p < 0.001), presented the largest explanatory response in the control of COVID-19, with an explained variation of 38.4%; further, it was observed that the countries with the largest GHS index scores were less influenced by climate variables.
    Keywords COVID-19 infection ; Severe acute respiratory syndrome coronavirus 2 ; basic reproduction number ; meteorological data ; models ; pandemic ; relative humidity ; solar radiation ; temperature
    Language English
    Dates of publication 2021-06
    Publishing place Elsevier B.V.
    Document type Article
    Note NAL-light
    ZDB-ID 2834831-X
    ISSN 2352-7714
    ISSN 2352-7714
    DOI 10.1016/j.onehlt.2021.100235
    Database NAL-Catalogue (AGRICOLA)

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  3. Article ; Online: How the global health security index and environment factor influence the spread of COVID-19

    Bruno Grespan Leichtweis / Letícia de Faria Silva / Felipe Lopes da Silva / Luiz Alexandre Peternelli

    One Health, Vol 12, Iss , Pp 100235- (2021)

    A country level analysis

    2021  

    Abstract: ... of temperature, relative humidity, solar radiation index, and GHS score on the spread rate of COVID-19 ... while also considering the Global Health Security Index (GHS). We collected data from confirmed cases ... of COVID-19 along with their respective GHS notes and climate data, from December 31, 2019 to April 13 ...

    Abstract The progress of viral diseases such as the new coronavirus (COVID-19) can be influenced not only by social isolation policies, but also by climatic factors. Understanding how these factors affect the progress of the pandemic caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) may be essential to know the risks each country is facing because of the disease. In this study, we verified the existence of a relationship between the basic reproduction number (R0) of SARS-CoV-2 with different climate variables, while also considering the Global Health Security Index (GHS). We collected data from confirmed cases of COVID-19 along with their respective GHS notes and climate data, from December 31, 2019 to April 13, 2020, for 52 countries. The generalized additive model (GAM) was applied to explore the effect of temperature, relative humidity, solar radiation index, and GHS score on the spread rate of COVID-19. The countries that showed similarity to each other were grouped into clusters using the Kohonen self-organizing map methodology to investigate the importance of each variable in the dissemination of the disease. The temperature variable presented a linear relationship (p < 0.001) with the R0, with an explained variation of 36.2%, while the relative humidity variable did not present a significant relationship with the R0. The response curve of the solar radiation variable presented a significant nonlinear relationship (p < 0.001) with an explained variation of 32.3%. The GHS index variable, with a significant nonlinear relationship (p < 0.001), presented the largest explanatory response in the control of COVID-19, with an explained variation of 38.4%; further, it was observed that the countries with the largest GHS index scores were less influenced by climate variables.
    Keywords Generalized additive model (GAM) ; Basic reproduction number (R0) ; Temperature ; Solar radiation index ; Coronavirus disease ; Medicine (General) ; R5-920
    Subject code 630
    Language English
    Publishing date 2021-06-01T00:00:00Z
    Publisher Elsevier
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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