Author: Anushree Roy; Sayan Kar
Title: Nature of transmission of Covid19 in India Document date: 2020_4_17
ID: iv7dok0v_16
Snippet: The copyright holder for this preprint (which was not peer-reviewed) is . https://doi.org/10.1101/2020.04.14.20065821 doi: medRxiv preprint are made for other countries too, in [1]. Nonetheless, weak correlation between the meteorological parameters (T max , T min and h) and the population density (Ï) do exist. In view of this, we fitted the data points in each panel in Figure 5 with a linear relation, α = A + B × x and with a polynomial relat.....
Document: The copyright holder for this preprint (which was not peer-reviewed) is . https://doi.org/10.1101/2020.04.14.20065821 doi: medRxiv preprint are made for other countries too, in [1]. Nonetheless, weak correlation between the meteorological parameters (T max , T min and h) and the population density (Ï) do exist. In view of this, we fitted the data points in each panel in Figure 5 with a linear relation, α = A + B × x and with a polynomial relation α = A + B × x + C × x 2 , with x as T max , T min , h or Ï. The best fit curves are shown by blue and red solid lines in Figure 5(a)-(d) , respectively. The degree of correlation (R 2 ), as obtained from the fitting procedures in each panel is shown in Table 1 . We find a weak correlation between the value of α and the parameters x. The value of R 2 is relatively higher if one assumes polynomial relations between the slope (α) and T max , Ï than if we consider a linear relation. In the fitting procedure, the data point for Maharashtra (shown by green symbol in each plot) is not included, as it lies much away from other data points. the author/funder, who has granted medRxiv a license to display the preprint in perpetuity.
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