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  1. Article: Significance of geographical factors to the COVID-19 outbreak in India.

    Gupta, Amitesh / Banerjee, Sreejita / Das, Sumit

    Modeling earth systems and environment

    2020  Volume 6, Issue 4, Page(s) 2645–2653

    Abstract: Recently, the large outbreak of COVID-19 cases all over the world has whacked India with about 30 ...

    Abstract Recently, the large outbreak of COVID-19 cases all over the world has whacked India with about 30,000 confirmed cases within the first 3 months of transmission. The present study used long-term climatic records of air temperature (
    Keywords covid19
    Language English
    Publishing date 2020-06-17
    Publishing country Netherlands
    Document type Journal Article
    ZDB-ID 2821317-8
    ISSN 2363-6211 ; 2363-6203
    ISSN (online) 2363-6211
    ISSN 2363-6203
    DOI 10.1007/s40808-020-00838-2
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: Significance of geographical factors to the COVID-19 outbreak in India

    Gupta, Amitesh / Banerjee, Sreejita / Das, Sumit

    Modeling Earth Systems and Environment

    2020  Volume 6, Issue 4, Page(s) 2645–2653

    Keywords covid19
    Language English
    Publisher Springer Science and Business Media LLC
    Publishing country us
    Document type Article ; Online
    ZDB-ID 2821317-8
    ISSN 2363-6211 ; 2363-6203
    ISSN (online) 2363-6211
    ISSN 2363-6203
    DOI 10.1007/s40808-020-00838-2
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

    Full text online

    More links

    Kategorien

    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.

  3. Article: Significance of geographical factors to the COVID-19 outbreak in India

    Gupta, Amitesh / Banerjee, Sreejita / Das, Sumit

    Model Earth Syst Environ

    Abstract: Recently, the large outbreak of COVID-19 cases all over the world has whacked India with about 30 ... among the association of regional parameters with COVID-19 cases in India. Our study suggests that comparatively hot and ... at the regional level to investigate the spatial association with the number of COVID-19 infections (NI ...

    Abstract Recently, the large outbreak of COVID-19 cases all over the world has whacked India with about 30,000 confirmed cases within the first 3 months of transmission. The present study used long-term climatic records of air temperature (T), rainfall (R), actual evapotranspiration (AET), solar radiation (SR), specific humidity (SH), wind speed (WS) with topographic altitude (E) and population density (PD) at the regional level to investigate the spatial association with the number of COVID-19 infections (NI). Bivariate analysis failed to find any significant relation (except SR) with the number of infected cases within 36 provinces in India. Variable Importance of Projection (VIP) through Partial Least Square (PLS) technique signified higher importance of SR, T, R and AET. However, generalized additive model fitted with the log-transformed value of input variables and applying spline smoothening to PD and E, significantly found high accuracy of prediction (R 2 = 0.89), and thus well-explained complex heterogeneity among the association of regional parameters with COVID-19 cases in India. Our study suggests that comparatively hot and dry regions in lower altitude of the Indian territory are more prone to the infection by COVID-19 transmission.
    Keywords covid19
    Publisher WHO
    Document type Article
    Note WHO #Covidence: #600989
    Database COVID19

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  4. Book ; Online: Significance of geographical factors (climatic, topographic and social) to the COVID-19 outbreak in India

    Gupta, Amitesh / Banerjee, Sreejita / Das, Sumit

    2020  

    Abstract: Very recently, large outbreak of COVID-19 cases all around the world has also whacked India ... of regional parameters with COVID-19 cases in India. Our study suggests that comparatively hot and dry regions ... at regional level to investigate the spatial association with number of COVID-19 infections (NI). Bivariate ...

    Abstract Very recently, large outbreak of COVID-19 cases all around the world has also whacked India since approximately 30,000 cases confirmed within first three months of transmission. The present study used long-term climatic records of air temperature (T), rainfall (R), actual evapotranspiration (AET), solar radiation (SR), specific humidity (SH), wind speed (WS) with topographic altitude (E) and population density (PD) at regional level to investigate the spatial association with number of COVID-19 infections (NI). Bivariate analysis failed to find any significant relation (except SR) with the number of infected cases within 36 provinces in India. Variable Importance of Projection (VIP) through Partial Least Square (PLS) technique signified higher importance of SR, T, R and AET. However, Generalized Additive Model (GAM) fitted with log-transformed value of input variables and applying spline smoothening to PD and E, significantly found high accuracy of prediction (R2=0.89), thus, well explained the complex heterogeneity among association of regional parameters with COVID-19 cases in India. Our study suggests that comparatively hot and dry regions in lower altitude of the Indian territory are more prone to the infection by COVID-19 transmission.
    Keywords covid19
    Publisher Center for Open Science
    Publishing country us
    Document type Book ; Online
    DOI 10.31219/osf.io/9gqpm
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

    Full text online

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    Inter-library loan at ZB MED

    Your chosen title can be delivered directly to ZB MED Cologne location if you are registered as a user at ZB MED Cologne.

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