Andishe_ye Amari

Andishe_ye Amari

Analysis of Covid-19 epidemic using percolation theory

Document Type : Original Article

Authors
1 Department of statistics, Imam Khomeini international university
2 Department of statistics, ShahidBeheshti university
Abstract
Knowledge of statistics, ever since its inception, has served every aspect of human life and every individual and social class.
 It has shown its extraordinary potential in dealing with numerous problems encountering human beings since the occurring
 of Covid-19 in Wuhan, China. A vast amount of literature has appeared showing the power of the science of statistics
 in answering different questions regarding this disease and all its consequences. But it comes short of, as an instance, in
 modelling the geometry of disease spread among societies and in the world as a whole. Here the only way to deal with this
 matter is to resort to probability theory and its many ramifications in providing realistic models in describing this spread.
 Avery power tool in this regard is percolation theory, which besides its many applications in mathematical physics, is very
 handy in modelling epidemic diseases, among them the Covid-19. A short description of this theory with its use in modelling
 the spread of epidemic deceases, shows the importance of dealing with probability as a separate subject in the curricula and
 not a subordinate of the science of statistics which is now dominant in the statistics major curricula in the Iranian schools.
Keywords

Volume 26, Issue 2
February 2022
Pages 53-65

  • Receive Date 03 May 2025
  • First Publish Date 03 May 2025
  • Publish Date 20 February 2022