Open AccessComputation of approximate solution to COVID-19 mathematical model
Author(s) -
AND EIMAN,
Zakir Ullah,
NAIB UR RAHMAN,
Farman Ullah
Publication year - 2021
Publication title -
journal of mathematical analysis and modeling
Language(s) - English
Resource type - Journals
ISSN - 2709-5924
DOI - 10.48185/jmam.v2i3.347
Subject(s) - covid-19 , matlab , computation , computer science , population , epidemic model , decomposition , mathematics , algorithm , infectious disease (medical specialty) , disease , medicine , ecology , pathology , biology , operating system , demography , sociology
In this work, we investigate a modified population model of non-infected and infected (SI) compartmentsto predict the spread of the infectious disease COVID-19 in Pakistan. For Approximate solution, we use LaplaceAdomian Decomposition Method (LADM). With the help of the said technique, we develop an algorithmto compute series type solution to the proposed problem. We compute few terms approximate solutionscorresponding to different compartment. With the help of MATLAB, we also plot our approximate solutionsfor different compartment graphically.