… spatial distribution of the COVID-19 epidemic spread. Specifically, the q (p) values of X1,
X2, X3, X4, X5 and X6 were equal to 0.060 (0.003), 0.504 (0.000), 0.041 (0.000), 0.404 (0.000), …

… In this study, ArcGIS was used to detect the local spatial autocorrelation characteristics of
COVID-19 cases … This paper shows the spatial distribution of the cumulative confirmed cases of …

… spatial dimensional variations in the built environment on the spread of COVID-19, we
extracted elemental data in two spatial … the incidence rate of COVID-19 through the Hierarchical …

… Spatial models are also conceptual appropriate to model spatial distribution of diseases.
Although counties with high population density levels are expected to have high numbers of …

… Globally, Wuhan was the most affected city with the COVID-19 … to analyze the distribution
of the COVID-19 morbidity rate in … The spatial distribution of the COVID-19 morbidity rate is …

… Figure 1 shows the spatial distribution of the logged COVID-19 period prevalence (by quintiles).
Counties with high rates are clustered along the Boston–Washington corridor, in parts of …

… The spatial distribution of COVID-19 deaths and confirmed cases were examined in order
to understand how the socio-demographic structure of a country can regulate the overall …

… 3 illustrates the spatial distributions of local R 2 values in both GWR and MGWR models.
In MGWR, several counties in southern Florida, southern Mississippi, eastern Wisconsin, and …

… factors that have impacted COVID-19 spread at a province-level in … spatial statistical approach
to describe how COVID-19 cases are spatially distributed and to identify significant spatial …

… the global COVID-19 epidemic situation, the spatial distribution of the COVID-19 epidemic
… epidemic situation as well as the spatial distribution and change information of the epidemic …