Spatial prediction and mapping of the COVID-19 hotspot in India using geostatistical technique

Spatial autocorrelation of the COVID-19 The Global Moran’s I statistics of spatial autocorrelation showed that all four factors considered for hotspot analysis of the COVID-19 were clustered and the results were also highly significant ( p value < 0.01) (Table 1 , Fig. 10 ).

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