Open AccessA numerical technique for solving infectious disease model
Author(s) -
J.K. Magani,
O. P. Ogundile,
S.O. Edeki
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 - 10.1088/1742-6596/2199/1/012006
Subject(s) - mortality rate , infectious disease (medical specialty) , disease , matlab , infection rate , epidemic model , computer science , population , medicine , surgery , programming language , environmental health
In the medical aspect of life, there are multiple ways of formulating a model that can be used to determine if a disease will become a pandemic or an epidemic. In this research, we discussed how we could use the numerical approach by applying the revised SEQI u I d RF (Susceptible, Exposed, Quarantined, Infected undetected, Infected detected, Recovered, and Failed) model to control or contain an infectious disease (COVID-19) by applying the effective contact rate. MATLAB software was used to solve the SEQI u I d RF model by considering population growth, mortality rate, infection rate, disease-induced death, failed treatment rate, and recovery rate, which gave pictographic diagrams of the increase and decrease of the infectious disease in the community.