Open AccessSensitivity analysis of SEIR epidemic model of Covid 19 spread in Indonesia
Author(s) -
Yulita Molliq Rangkuti,
Firmansyah Firmansyah,
Ahmad Landong
Publication year - 2022
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/2193/1/012092
Subject(s) - basic reproduction number , covid-19 , epidemic model , infectious disease (medical specialty) , epidemiology , transmission (telecommunications) , transmission rate , demography , sensitivity (control systems) , environmental health , public health , biology , disease , virology , medicine , computer science , population , pathology , sociology , telecommunications , electronic engineering , engineering
Epidemiological models may provide public health practitioners with some fundamental guidelines, allowing for the examination of issues that may influence disease prevention and treatment techniques. On establish the relative impact of the model parameters to disease transmission, a sensitivity analysis of the epidemiological model is undertaken. A sensitivity analysis of the Susceptible, Exposed, Infectious, and Recovered (SEIR) model of corona virus 2019 (COVID 19) was undertaken to determine the parameters’ influence on the basic reproduction number and endemic equilibrium. The rate of contact between susceptible individual and exposed individuals and rate of exposed to infected individuals are the most impactful parameters on the basic reproduction number and the number of infectious individuals, according to our findings. Furthermore, the number of people who have been exposed is affected by the rate at which they proceed from exposed to infect. The findings show that if infectious people recover faster, the number of contagious people will decrease.