Estimation of public compliance with COVID-19 prevention standard operating procedures through a mathematical model

Despite the enforcement of control plan and preventive measures, the transmission of COVID-19 is still ongoing and yet to be contained successfully. Hence, this study aimed to determine the level of compliance of the public with the standard operating procedures for COVID-19 prevention in Malaysia....

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Main Authors: Mohd Jamil, Norazaliza, Gill, Balvinder Singh
Format: Conference or Workshop Item
Language:English
English
Published: Springer, Singapore 2022
Subjects:
Online Access:http://umpir.ump.edu.my/id/eprint/36026/1/J%202022%20nmj%20springer%20link.pdf
http://umpir.ump.edu.my/id/eprint/36026/7/Estimation%20of%20public%20compliance%20with%20COVID-19%20prevention.pdf
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author Mohd Jamil, Norazaliza
Gill, Balvinder Singh
author_facet Mohd Jamil, Norazaliza
Gill, Balvinder Singh
author_sort Mohd Jamil, Norazaliza
collection UMP
description Despite the enforcement of control plan and preventive measures, the transmission of COVID-19 is still ongoing and yet to be contained successfully. Hence, this study aimed to determine the level of compliance of the public with the standard operating procedures for COVID-19 prevention in Malaysia. A compartmental model with new formulations of timely dependent epidemiological parameter for COVID-19 outbreaks was developed. The model, consisting of ordinary differential equations, was solved by the 4th order Runge–Kutta method. The model representation is in the form of graphical user interface (GUI) built in MATLAB. The estimation of the level of compliance of the population with the control measures was done by fitting the model curve to the actual data in the GUI. The result shows that the current compliance level of the public to the control measures is at an unsatisfactory level that leads to repeated lockdown. The compliance level estimation is important to policymakers and health officials as they can infer the effectiveness of intervention strategies. Additionally, this study revealed how individual responsibility to adherence the control measures will affects the number of cases. Further action to increase public compliance to a satisfactory level is required to halt the pandemic successfully.
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spelling UMPir360262023-02-01T01:37:15Z http://umpir.ump.edu.my/id/eprint/36026/ Estimation of public compliance with COVID-19 prevention standard operating procedures through a mathematical model Mohd Jamil, Norazaliza Gill, Balvinder Singh QA Mathematics RA Public aspects of medicine Despite the enforcement of control plan and preventive measures, the transmission of COVID-19 is still ongoing and yet to be contained successfully. Hence, this study aimed to determine the level of compliance of the public with the standard operating procedures for COVID-19 prevention in Malaysia. A compartmental model with new formulations of timely dependent epidemiological parameter for COVID-19 outbreaks was developed. The model, consisting of ordinary differential equations, was solved by the 4th order Runge–Kutta method. The model representation is in the form of graphical user interface (GUI) built in MATLAB. The estimation of the level of compliance of the population with the control measures was done by fitting the model curve to the actual data in the GUI. The result shows that the current compliance level of the public to the control measures is at an unsatisfactory level that leads to repeated lockdown. The compliance level estimation is important to policymakers and health officials as they can infer the effectiveness of intervention strategies. Additionally, this study revealed how individual responsibility to adherence the control measures will affects the number of cases. Further action to increase public compliance to a satisfactory level is required to halt the pandemic successfully. Springer, Singapore 2022-06 Conference or Workshop Item PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/36026/1/J%202022%20nmj%20springer%20link.pdf pdf en http://umpir.ump.edu.my/id/eprint/36026/7/Estimation%20of%20public%20compliance%20with%20COVID-19%20prevention.pdf Mohd Jamil, Norazaliza and Gill, Balvinder Singh (2022) Estimation of public compliance with COVID-19 prevention standard operating procedures through a mathematical model. In: 2nd International Conference on Mathematical Modeling and Computational Science ICMMCS 2021 , 28 - 29 October 2021 , Kelantan, Malaysia. pp. 49-58., 1422. ISSN 2194-5365 ISBN 978-981-19-0182-9 https://doi.org/10.1007/978-981-19-0182-9_5
spellingShingle QA Mathematics
RA Public aspects of medicine
Mohd Jamil, Norazaliza
Gill, Balvinder Singh
Estimation of public compliance with COVID-19 prevention standard operating procedures through a mathematical model
title Estimation of public compliance with COVID-19 prevention standard operating procedures through a mathematical model
title_full Estimation of public compliance with COVID-19 prevention standard operating procedures through a mathematical model
title_fullStr Estimation of public compliance with COVID-19 prevention standard operating procedures through a mathematical model
title_full_unstemmed Estimation of public compliance with COVID-19 prevention standard operating procedures through a mathematical model
title_short Estimation of public compliance with COVID-19 prevention standard operating procedures through a mathematical model
title_sort estimation of public compliance with covid 19 prevention standard operating procedures through a mathematical model
topic QA Mathematics
RA Public aspects of medicine
url http://umpir.ump.edu.my/id/eprint/36026/1/J%202022%20nmj%20springer%20link.pdf
http://umpir.ump.edu.my/id/eprint/36026/7/Estimation%20of%20public%20compliance%20with%20COVID-19%20prevention.pdf
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