Review

Compartmental Models of the COVID-19 Pandemic: A Systematic Literature Review

Volume: 6 Number: 2 December 31, 2023
TR EN

Compartmental Models of the COVID-19 Pandemic: A Systematic Literature Review

Abstract

As COVID-19 rapidly spread all around the world, different methods have been proposed to explore the dynamics of the pandemic, understand the transmission mechanism, and assess the preventive measures. Mathematical models are frequently used worldwide to predict various parameters and develop effective policies for disease control. Compartmental models are the most popular mathematical models in epidemiology. These models divide the population into distinct groups (compartments) based on their status and describe the movement of an individual from one compartment to another. Various compartmental models and their variations have been developed to model the pandemic dynamics and measure the efficiency and necessity of different initiatives such as lockdowns, face masks, and vaccination. This paper provides a systematic literature review on different compartmental models proposed to model the COVID-19 pandemic. These models are discussed in detail based on the compartmental structure in the model, aim of the model, variables, and methodological approaches.

Keywords

References

  1. [1] J. Riou, and C. L. Althaus, “Pattern of early human-to-human transmission of Wuhan 2019 novel coronavirus (2019-nCoV), December 2019 to January 2020”, Euro Surveill, 25(4), 2020.
  2. [2] World Health Organization Web Page. (2023, January 6). https://covid19.who.int
  3. [3] X. Yu, L. Lu, J. Shen, J. Li, W. Xiao, and Y. Chen, “RLIM: a recursive and latent infection model for the prediction of US COVID-19 infections and turning points”, Nonlinear dynamics, 106, pp. 1397-1410, 2021.
  4. [4] H. Leite, I.R. Hodgkinson, and T. Gruber, “New development: ‘Healing at a distance’—telemedicine and COVID-19”, Public Money & Management, 40(6), pp. 483–485, 2020.
  5. [5] A. Hurajova, D. Kolllarova, and L. Juraj, “Trends in education during the pandemic: modern online technologies as a tool for the sustainability of university education in the field of media and communication studies”, Heliyon, 8(5), pp. 2405-8440, 2022.
  6. [6] C. S. M. Currie, J. W. Fowler, K. Kotiadis, T. Monks, B. S. Onggo, D. A. Robertson, and A. A. Tako, “How simulation modelling can help reduce the impact of COVID19”, Journal of Simulation, 14(2), pp. 83-97, 2020.
  7. [7] S. Khalilpourazari, and H.H. Doulabi, “Robust modelling and prediction of the COVID-19 pandemic in Canada”, International Journal of Production Research, 2021.
  8. [8] M. Liu, R. Thomadsen, and S. Yao, “Forecasting the spread of COVID-19 under different reopening strategies”, Scientific Reports, 10(2036), 2020.

Details

Primary Language

English

Subjects

Industrial Engineering

Journal Section

Review

Early Pub Date

December 31, 2023

Publication Date

December 31, 2023

Submission Date

November 24, 2023

Acceptance Date

December 26, 2023

Published in Issue

Year 2023 Volume: 6 Number: 2

APA
Yerinde, D., & Er, M. (2023). Compartmental Models of the COVID-19 Pandemic: A Systematic Literature Review. Bayburt Üniversitesi Fen Bilimleri Dergisi, 6(2), 254-267. https://doi.org/10.55117/bufbd.1395736
AMA
1.Yerinde D, Er M. Compartmental Models of the COVID-19 Pandemic: A Systematic Literature Review. Bayburt Üniversitesi Fen Bilimleri Dergisi. 2023;6(2):254-267. doi:10.55117/bufbd.1395736
Chicago
Yerinde, Deniz, and Merve Er. 2023. “Compartmental Models of the COVID-19 Pandemic: A Systematic Literature Review”. Bayburt Üniversitesi Fen Bilimleri Dergisi 6 (2): 254-67. https://doi.org/10.55117/bufbd.1395736.
EndNote
Yerinde D, Er M (December 1, 2023) Compartmental Models of the COVID-19 Pandemic: A Systematic Literature Review. Bayburt Üniversitesi Fen Bilimleri Dergisi 6 2 254–267.
IEEE
[1]D. Yerinde and M. Er, “Compartmental Models of the COVID-19 Pandemic: A Systematic Literature Review”, Bayburt Üniversitesi Fen Bilimleri Dergisi, vol. 6, no. 2, pp. 254–267, Dec. 2023, doi: 10.55117/bufbd.1395736.
ISNAD
Yerinde, Deniz - Er, Merve. “Compartmental Models of the COVID-19 Pandemic: A Systematic Literature Review”. Bayburt Üniversitesi Fen Bilimleri Dergisi 6/2 (December 1, 2023): 254-267. https://doi.org/10.55117/bufbd.1395736.
JAMA
1.Yerinde D, Er M. Compartmental Models of the COVID-19 Pandemic: A Systematic Literature Review. Bayburt Üniversitesi Fen Bilimleri Dergisi. 2023;6:254–267.
MLA
Yerinde, Deniz, and Merve Er. “Compartmental Models of the COVID-19 Pandemic: A Systematic Literature Review”. Bayburt Üniversitesi Fen Bilimleri Dergisi, vol. 6, no. 2, Dec. 2023, pp. 254-67, doi:10.55117/bufbd.1395736.
Vancouver
1.Deniz Yerinde, Merve Er. Compartmental Models of the COVID-19 Pandemic: A Systematic Literature Review. Bayburt Üniversitesi Fen Bilimleri Dergisi. 2023 Dec. 1;6(2):254-67. doi:10.55117/bufbd.1395736

Indexing

                          download?token=eyJhdXRoX3JvbGVzIjpbXSwiZW5kcG9pbnQiOiJqb3VybmFsIiwib3JpZ2luYWxuYW1lIjoiYWNhZGVtaW5kZXhfbG9nby5wbmciLCJwYXRoIjoiMDE0OC9jNGUxL2ExYTEvNjlkNjIzMDZkMDFhNzkuNjQwNjcyNTYucG5nIiwiZXhwIjoxNzc1NjQ0OTUxLCJub25jZSI6IjIwMTE3NzAxMDQyODcyNDhkYjljNzA3MDNiZTI4MGQyIn0.gcKaww5KFzsu_vkMOBXVC6pmMUKOapitiUhwD5Iy6xQ      download?token=eyJhdXRoX3JvbGVzIjpbXSwiZW5kcG9pbnQiOiJqb3VybmFsIiwib3JpZ2luYWxuYW1lIjoiRFJKSV9Mb2dvLmpwZyIsInBhdGgiOiJhNjIxLzI3ZmUvZjRlZC82OWQ2MjMwNmM3MjM5NC45MjkzMzc2NC5qcGciLCJleHAiOjE3NzU2NDQ5NTEsIm5vbmNlIjoiODFjZDA0YjFjYjQ5OTM1MTM2YjVlNWFmOWU3M2VkMGEifQ.IrE2DQxJsd2_GiIgUm-2Ss63rpEBkTJ5pPxG4zfLZPE     download?token=eyJhdXRoX3JvbGVzIjpbXSwiZW5kcG9pbnQiOiJqb3VybmFsIiwib3JpZ2luYWxuYW1lIjoibG9nbzIucG5nIiwicGF0aCI6IjcxN2YvZTNhOS8wNDBkLzY5ZDYyMzA2ZDFkOWU3LjQzMzczOTcwLnBuZyIsImV4cCI6MTc3NTY0NDk1MSwibm9uY2UiOiI1Y2IzZGU3YjExOGIyNzA0Y2FiOTc1NTEyOTg0MjMxNSJ9.Bkxx2nQGj6Iq9GPltNmAd5p7wFOSTH2Ga3QTA0IL4cM