Open AccessIMPACT OF SOCIAL BEHAVIOR ON THE DYNAMIC SPREAD SARS-COV-2 IN LEBANON ACCORDING TO THE SIR MODEL
Author(s) -
Mohamad Hamieh,
Ali ElMoussaoui,
Hassan Ayoub,
Hicham Aboudaya,
Zeinab Hamie
Publication year - 2022
Publication title -
euroasia journal of mathematics-engineering naturalandmedical sciences
Language(s) - English
Resource type - Journals
ISSN - 2667-6702
DOI - 10.38065/euroasiaorg.943
Subject(s) - population , dynamics (music) , limiting , epidemic model , government (linguistics) , social distance , covid-19 , pandemic , computer security , criminology , computer science , psychology , sociology , demography , engineering , medicine , mechanical engineering , pedagogy , linguistics , philosophy , disease , pathology , infectious disease (medical specialty)
Analyzing the dynamics of Sars-Cov-2 spread in the Lebanese society is what this article mainly aspires and points to, where the study was predicated on a compartmental model, namely SIR, the widely known model in epidemiology. SIR. (Susceptible-Infected-Recovered) materializes a basic conceptional structure for theoretically investigating the virus spread and its dynamics within a community, through focusing on the interaction and communication between infected and recovered people. Consequently, providing the necessary attempts to overcome the epidemic, and diminishes its expansion to rescue lives. In which, limiting contact absolutely reduces the possibility of transmitting or contracting an infection. This investigation on a representative sample of the Lebanese population highlights the various drivers and dynamics of this proliferation. These drivers or factors clarify the behavior of the population (wearing a mask, washing their hands) in experiencing the epidemic crisis and their abuse for measures (safety distance, closures) adopted by the authorities to combat the epidemic. So, it turns out that the careless and incautious attitude of the Lebanese population, besides the unsatisfactory control to fulfill the government rules against the dynamics of virus spread was shown by the modeling of Sars-Cov-2 dynamics through the SIR model.