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Estimation of Public Compliance with COVID-19 Prevention Standard Operating Procedures Through a Mathematical Model

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Proceedings of 2nd International Conference on Mathematical Modeling and Computational Science

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1422))

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Abstract

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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Acknowledgements

We would like to thank the Director General of Health Malaysia for his permission to publish this article.

Funding

This research was funded by a grant from Universiti Malaysia Pahang, Internal Grant RDU 210329. (Ref: UMP.05/26.10/03/RDU210329).

Author information

Authors and Affiliations

  1. Centre for Mathematical Sciences, College of Computing and Applied Sciences, Universiti Malaysia Pahang, Lebuhraya Tun Razak, 26300, Gambang, Kuantan, Pahang, Malaysia

    Norazaliza Mohd Jamil

  2. Institute for Medical Research (IMR), Ministry of Health Malaysia, 50588, Kuala Lumpur, Malaysia

    Balvinder Singh Gill

Authors
  1. Norazaliza Mohd Jamil
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  2. Balvinder Singh Gill
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Corresponding author

Correspondence to Norazaliza Mohd Jamil .

Editor information

Editors and Affiliations

  1. Department of Creative Technologies and Product Design, National Taipei University of Business, Taoyuan, Taiwan

    Sheng-Lung Peng

  2. Department of Computer Science, National Yang Ming Chiao Tung University, Hsinchu, Taiwan

    Cheng-Kuan Lin

  3. Department of Computer Science and Engineering, Sister Nivedita University, Kolkata, West Bengal, India

    Souvik Pal

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Jamil, N.M., Gill, B.S. (2022). Estimation of Public Compliance with COVID-19 Prevention Standard Operating Procedures Through a Mathematical Model. In: Peng, SL., Lin, CK., Pal, S. (eds) Proceedings of 2nd International Conference on Mathematical Modeling and Computational Science. Advances in Intelligent Systems and Computing, vol 1422. Springer, Singapore. https://doi.org/10.1007/978-981-19-0182-9_5

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