Clustering method for spread pattern analysis of corona-virus (COVID-19) infection in Iran
Mehdi Azarafza, Mohammad Azarafza, Haluk Akgün
Abstract
The COVID-19 is outbreak from China and infected more than 131,652 people and caused 7,300 deaths in Iran. Unfortunately, the infection numbers and deaths are still increasing rapidly which has put the world on the catastrophic abyss edge. Application of data mining to perform pattern recognition of infection is mainly used for preparing the spread mapping which considered in this work for spatiotemporal distribution assessment and spread pattern analysis of corona-virus (COVID-19) infection in Iran
Topics & Concepts
Coronavirus disease 2019 (COVID-19)OutbreakCorona (planetary geology)Cluster analysisSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)Virology2019-20 coronavirus outbreakVirusGeographyMedicineComputer scienceBiologyArtificial intelligenceInfectious disease (medical specialty)PathologyDiseaseVenusAstrobiologyCOVID-19 epidemiological studiesAnomaly Detection Techniques and ApplicationsData-Driven Disease Surveillance