Big data to monitor the epidemiological situation of COVID-19 (Corona virus)‎ : application of cluster analysis for Algerian provinces

Abstract EN

The purpose of this paper is to analyze the similarities of 48 provinces of Algerian government where Corona-virus pandemic (COVID19), which has outset from china and infected thousands of deaths around the world .it has been profoundly affecting almost all countries at all levels and this situation placed researchers before a biggest challenge to confront.

using big data is one of the most known tools to monitor the spread of this virus .in this regards, the similarities of the 48 provinces were investigated using the hierarchical cluster analysis based on 7 variables (cumulative confirmed cases, new confirmed case, incidence rate, cumulative deaths cases, new death case, mortality rate and fatality rate %).

as a result, the 48 provinces have been grouped in 7 clusters in which high densely populated provinces were the most effected like Alger and Oran.

whilst, the low densely populated provinces constituted the lowest incidence of disease.