Diseases Commons^™

Geospatial Clustering And Hot Spot Detection Of Covid-19 Incidence In 2020: A Global Analysis, Munazza Fatima, Sana Arshad, Ibtisam Butt, Saba Arshad

International Journal of Geospatial and Environmental Research

Emergence and spread of Covid-19 initiated diversified researches based on spatial analysis in visualization, exploration, and modelling of this infection. This short communication is an attempt to comprehend the geographic distribution and spatial clustering of Covid-19 in year 2020. Main objective is to spatially analyze Covid-19 incidence rates, identification of hotspots and clusters outliers at global level. Monthly data of reported cases were taken from World Health Organization dashboard and situation reports. Incidence rate was calculated for each country for each month. Spatial autocorrelation techniques of Global Moran are I and Anselian Local Moran’s I were used to examine the …