Volume 14, Issue 1 (Jan & Feb 2024)
J Research Health 2024, 14(1): 93-102 |
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Rezaei Nezhad H, Keynia F, Sabagh Mola Hoseini A. Estimating Algorithms for Prediction and Spread of a Factor as a Pandemic: A Case Study of Global COVID-19 Prevalence. J Research Health 2024; 14 (1) :93-102
URL: http://jrh.gmu.ac.ir/article-1-2118-en.html
URL: http://jrh.gmu.ac.ir/article-1-2118-en.html
1- Department of Computer, Faculty of Engineering, Kerman Branch, Islamic Azad University, Kerman, Iran.
2- Department of Energy Management and Optimization, Institute of Science and High Technology and Environmental Sciences, University of Advanced Technology, Kerman, Iran. ,f.keynia@kgut.ac.ir
3- School of Electronics, Electrical Engineering and Computer Science, Queen's University Belfast, Belfast, United Kingdom.
2- Department of Energy Management and Optimization, Institute of Science and High Technology and Environmental Sciences, University of Advanced Technology, Kerman, Iran. ,
3- School of Electronics, Electrical Engineering and Computer Science, Queen's University Belfast, Belfast, United Kingdom.
Abstract: (779 Views)
Background: This paper aims to present open-source computer simulation programs developed to simulate, track, and estimate the COVID-19 outbreak.
Methods: The programs included two separate parts, one set of programs built in Simulink with a block diagram display, and another one coded as a script in MATLAB R2020b. The mathematical model used in this package was the suspectable-infected-removed (SIR), suspectable-exposed-infected-removed (SEIR), and susceptible-exposed-infected-recovered-deceased (SEIRD) models represented by a set of differential-algebraic equations. It can be easily modified to develop new models for the problem. A generalized method was adopted to simulate worldwide outbreaks in an efficient, fast, and simple way.
Results: To get a good tracking of the virus spread, a sum of sigmoid functions was proposed to capture any dynamic changes in the data. The parameters used for the input (infection and recovery rate functions) were computed using the parameter estimation tool in MATLAB. Several statistical methods were applied for the rate function, including linear, Mean±SD and root mean square (RMS). In addition, an adaptive neuro-fuzzy inference system (ANFIS) was employed and proposed to train the model and predict its output.
Conclusion: This procedure is presented in such a way that it can be generalized and applied in other parts and applications of estimating the scenarios of an event, including the potential of several models, including suspectable-infected-removed (SIR), which is sensitive to pollution, etc. This program can be used as an educational tool or for research studies and this article promises some lasting contributions in the field of COVID-19.
Methods: The programs included two separate parts, one set of programs built in Simulink with a block diagram display, and another one coded as a script in MATLAB R2020b. The mathematical model used in this package was the suspectable-infected-removed (SIR), suspectable-exposed-infected-removed (SEIR), and susceptible-exposed-infected-recovered-deceased (SEIRD) models represented by a set of differential-algebraic equations. It can be easily modified to develop new models for the problem. A generalized method was adopted to simulate worldwide outbreaks in an efficient, fast, and simple way.
Results: To get a good tracking of the virus spread, a sum of sigmoid functions was proposed to capture any dynamic changes in the data. The parameters used for the input (infection and recovery rate functions) were computed using the parameter estimation tool in MATLAB. Several statistical methods were applied for the rate function, including linear, Mean±SD and root mean square (RMS). In addition, an adaptive neuro-fuzzy inference system (ANFIS) was employed and proposed to train the model and predict its output.
Conclusion: This procedure is presented in such a way that it can be generalized and applied in other parts and applications of estimating the scenarios of an event, including the potential of several models, including suspectable-infected-removed (SIR), which is sensitive to pollution, etc. This program can be used as an educational tool or for research studies and this article promises some lasting contributions in the field of COVID-19.
Type of Study: Case report |
Subject:
● International Health
Received: 2022/09/18 | Accepted: 2023/01/21 | Published: 2024/02/1
Received: 2022/09/18 | Accepted: 2023/01/21 | Published: 2024/02/1
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