A Sensitivity Analysis of the PSITPS Epidemic Model’s Parameters for COVID-19

Given the prevailing circumstances surrounding the transmission of COVID-19, which has been classified as a worldwide epidemic by the World Health Organization, a sensitivity analysis was performed on the Protected-Susceptible-Infected-Treated- Protected- Susceptible ( ) epidemic model. The objective of this analysis was to identify the specific parameters associated with the basic reproduction number that contribute to the propagation of the COVID-19 epidemic in Najaf. The findings indicate that the sensitivity index of parameters exhibiting a positive sign is positively correlated with the extent of the epidemic's spread in Najaf. Conversely, parameters displaying a negative sign are inversely correlated with the spread of the epidemic. The analysis was conducted numerically using MATLAB to confirm the results of the study.

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Publication Details

Journal
Journal of Kufa for Mathematics and Computer
Published
2024-08-31
DOI
https://doi.org/10.31642/jokmc/2018/110210
Primary Topic
COVID-19 epidemiological studies
Type
article
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article

A Sensitivity Analysis of the PSITPS Epidemic Model’s Parameters for COVID-19

Hussein K. Asker, Alaa Falih Mahdi
Journal of Kufa for Mathematics and Computer
COVID-19 epidemiological studies
article

A Sensitivity Analysis of the PSITPS Epidemic Model’s Parameters for COVID-19

Hussein K. Asker, Alaa Falih Mahdi
article en

Abstract

Given the prevailing circumstances surrounding the transmission of COVID-19, which has been classified as a worldwide epidemic by the World Health Organization, a sensitivity analysis was performed on the Protected-Susceptible-Infected-Treated- Protected- Susceptible ( ) epidemic model. The objective of this analysis was to identify the specific parameters associated with the basic reproduction number that contribute to the propagation of the COVID-19 epidemic in Najaf. The findings indicate that the sensitivity index of parameters exhibiting a positive sign is positively correlated with the extent of the epidemic's spread in Najaf. Conversely, parameters displaying a negative sign are inversely correlated with the spread of the epidemic. The analysis was conducted numerically using MATLAB to confirm the results of the study.

Journal of Kufa for Mathematics and ComputerVol. 11(2)
University of Kufa (IQ)
Openalex Percentile: Top 83%
COVID-19 epidemiological studies
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