Mohajan, Haradhan (2022): Mathematical Analysis of SIR Model for COVID-19 Transmission. Published in: Journal of Innovations in Medical Research , Vol. 1, No. 2 (31 August 2022): pp. 1-18.
Preview |
PDF
MPRA_paper_114390.pdf Download (738kB) | Preview |
Abstract
Due to the recent threatening pandemic COVID-19, the research area of this disease is increasing. This paper tries to establish COVID-19 infection transmission by Susceptible-Infectious-Recovered (SIR) compartmental model for epidemic prediction and prevention. The model is built based on the secondary data of the infected persons and discharged patients. It is considered as a valuable tool in public health sector, as it can provide suggestions about the fatality of pandemic to take necessary actions for preventing the infections. COVID-19 is spreading worldwide extremely, and at present it becomes both local and global concern. This model can show the fatality of COVID-19 with time and can predict whether the disease will further spread or abolish completely. This study stresses on vaccination to reduce the infection of the disease. It can provide how many people are needed to be vaccinated to create herd immunity against COVID-19. Overtime the immunity due to vaccination may decrease and after a fixed period the immunity of COVID-19 due to vaccination may extinct completely. The article attempts to give a mathematical presentation to aware the immunity loss individuals with other susceptible. It also tries to alert the people about the re-infection of the previous COVID-19 infected persons. The aim of this study is to minimize both global economic losses and deaths due to COVID-19.
Item Type: | MPRA Paper |
---|---|
Original Title: | Mathematical Analysis of SIR Model for COVID-19 Transmission |
English Title: | Mathematical Analysis of SIR Model for COVID-19 Transmission |
Language: | English |
Keywords: | COVID-19, SARS-CoV-2, SIR Model, Immunity, Pandemics, Vaccination, Basic Reproduction Number |
Subjects: | C - Mathematical and Quantitative Methods > C3 - Multiple or Simultaneous Equation Models ; Multiple Variables C - Mathematical and Quantitative Methods > C6 - Mathematical Methods ; Programming Models ; Mathematical and Simulation Modeling > C62 - Existence and Stability Conditions of Equilibrium I - Health, Education, and Welfare > I1 - Health > I15 - Health and Economic Development I - Health, Education, and Welfare > I3 - Welfare, Well-Being, and Poverty > I31 - General Welfare, Well-Being |
Item ID: | 114390 |
Depositing User: | Haradhan Kumar Mohajan |
Date Deposited: | 06 Sep 2022 21:25 |
Last Modified: | 06 Sep 2022 21:25 |
References: | Abadie, A., Bertolotti, P., Deaner, B., Sarker, P., & Shah, D. (2020). Epidemic Modeling and Estimation. Institute for Data, Systems, and Society, MIT. Akinyemi, S. Y., Ibrahim, M. O., Usman, I. G., & Odetunde, O. (2016). Global Stability Analysis of SIR Epidemic Model with Relapse and Immunity Loss. Applied Science Mathematical Theory, 2(1), 1-12. Assiri, A., Al-Tawfiq, J. A., Al-Rabeeah, A. A., & Al-Hajjar, A. et al. (2013). Epidemiological, Demographic, and Clinical Characteristics of 47 Cases of Middle East Respiratory Syndrome Coronavirus Disease from Saudi Arabia: A Descriptive Study. The Lancet Infectious Diseases, 13, 752-761. Atangana, A. (2020). Modelling the Spread of COVID-19 with New Fractional-Fractal Operators: Can the Lockdown Save Mankind before Vaccination? Chaos Solitons Fractals, 136, 109860. Atkeson, A. G. (2020). On Using SIR Models to Model Disease Scenarios for COVID-19. Federal Reserve Bank of Minneapolis, Quarterly Review, 41(1), 1-35. Baez-Sanchez, A. D., & Bobko, N. (2020). On Equilibria Stability in an Epidemiological SIR Model with Recovery-dependent Infection Rate. Tendˆencias em Matem´ atica Aplicada e Computacional, 21(3), 409-424. Bernardi, F., & Aminian, M. (2021). Epidemiology and the SIR Model: Historical Context to Modern Applications. CODEE Journal, 14(1), Article 4. Bhattacharya, P., Paul, S., & Biswas, P. (2015). Mathematical Modeling of Treatment SIR Model with Respect to Variable Contact Rate. International Proceedings of Economics Development and Research, 83, 34-41. Cao, H., & Zhou, H. (2013). The Basic Reproduction Number of Discrete SIR and SEIS Models with Periodic Parameters. Discrete and Continuous Dynamical Systems Series B, 18(1), 37-56. Capasso, V. (2008). Mathematical Structures of Epidemic Systems (2nd Ed.). Heidelberg: Springer. Carlos, W. G., Cruz, C. S., Cao, B., Pasnick, S., & Jamil, S. (2020). Novel Wuhan (2019-nCoV) Coronavirus. American Journal of Respiratory and Critical Care Medicine, 201(4), 7-8. https://doi.org/10.1164/rccm.2014P7 Chan, J. F.-W., Yuan, S., Kok, K.-H., To, K. K.-W., Chu, H., & Yang, J. et al. (2020). A Familial Cluster of Pneumonia Associated with the 2019 Novel Coronavirus Indicating Person-to-Person Transmission: A Study of a Family Cluster. Lancet, 395, 514–523. https://doi.org/10.1016/S0140-6736(20)30154-9 da Silva, A., (2021). Modeling COVID-19 in Cape Verde Islands: An Application of SIR Model. Computational and Mathematical Biophysics, 9, 1-13. Delamater, P. L., Street, E. J., Leslie, T. F., Yang, Y. T., & Jacobsen, K. H. (2019). Complexity of the Basic Reproduction Number (R0). Emerging Infectious Diseases, 25(1), 1-4. Dubey, B., Dubey, P., & Dubey, U. S. (2015). Dynamics of an SIR Model with Nonlinear Incidence and Treatment Rate. Applications and Applied Mathematics: An International Journal, 10(2), 718-737. Ebraheem, H. K., Alkhateeb, N., Badran, H., & Sultan, E. (2021). Delayed Dynamics of SIR Model for COVID-19. Open Journal of Modelling and Simulation, 9, 146-158. Fine, P., Eames, K., & Heymann, D. L. (2011). Herd Immunity: A Rough Guide. Clinical Infectious Diseases, 52(7), 911-916. Fraser, C., Donnelly, C. A., Cauchemez, S., Hanage, W. P., van Kerkhove, M. D., & Hollingsworth, T. D., et al. (2009). Pandemic Potential of a Strain of Influenza A (H1N1): Early Findings. Science, 324(5934), 1557-1561. Ghersheen, S., Kozlov, V., Tkachev, V., & Wennergren, U. (2019). Mathematical Analysis of Complex SIR Model with Coinfection and Density Dependence. Computational and Mathematical Methods, 1, e1042. Harko, T., Lobo, F. S. N., & Mak, M. K. (2014). Exact Analytical Solutions of the Susceptible-Infected-Recovered (SIR) Epidemic Model and of the SIR Model with Equal Death and Birth Rates. Applied Mathematics and Computation. 236, 184-194. Heffernan, J. M., Smith, R. J., & Wahl, L. M. (2005). Perspectives on the Basic Reproductive Ratio. Journal of the Royal Society Interface, 2(4), 281-293. Hethcote, H. W. (1989). Three Basic Epidemiological Models. In Levin S. A., Hallam T. G., & Gross L. J. (Eds.), Applied Mathematical Ecology. Biomathematics, vol. 18, pp. 119-144. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-61317-3_5 Huang, C., Wang, Y., Li, X., Ren, L., Zhao, J., & Hu, Y. et al. (2020). Clinical Features of Patients Infected with 2019 Novel Coronavirus in Wuhan, China. Lancet, 395(10223), 497–506. https://doi.org/10.1016/S0140-6736(20)30183-5 Kermack, N. O., & Mackendrick, A. G. (1927). Contribution to Mathematical Theory of Epidemics. Proceedings of the Royal Society of London, 115(772), 700-721. Khan, A., Hassan, M., & Imran, M. (2014). Estimating the Basic Reproduction Number for Single-Strain Dengue Fever Epidemics, 3, 12. Li, F. (2013). Receptor Recognition and Cross-Species Infections of SARS Coronavirus. Antiviral Research, 100(1), 246-254. Linka, K., Peirlinck, M. & Kuhl, E. (2020). The Reproduction Number of COVID-19 and Its Correlation with Public Health Interventions. Computational Mechanics, 66, 1035-1050. https://doi.org/10.1007/s00466-020-01880-8 Lu, H., Stratton, C. W., & Tang, Y. W. (2020). Outbreak of Pneumonia of Unknown Etiology in Wuhan China: The Mystery and the Miracle. Journal of Medical Virology, 92(4), 401-402. https://doi.org/10.1002/jmv.25678 Makinde, O. D. (2007). Adomian Decomposition Approach to a SIR Epidemic Model with Constant Vaccination Strategy. Applied Mathematics and Computation, 184(2), 842-848. Milligan, G., N., & Barrett, A. D. (2015). Vaccinology: An Essential Guide. Chichester, West Sussex: Wiley Blackwell. Mohajan, H. K. (2017). Two Criteria for Good Measurements in Research: Validity and Reliability. Annals of Spiru Haret University Economic Series, 17(3), 58-82. Mohajan, H. K. (2018). Qualitative Research Methodology in Social Sciences and Related Subjects. Journal of Economic Development, Environment and People, 2(1), 19-46. Mohajan, H. K. (2020a). The COVID-19 in Italy: Remedies to Reduce the Infections and Deaths. Malaysian Journal of Medical and Biological Research, 7(2), 59-66. Mohajan, H. K. (2020b). Most Fatal Pandemic COVID-19 Outbreak: An Analysis of Economic Consequences. Annals of Spiru Haret University Economic Series, 20(2), 127-146. Mohajan, H. K. (2020c). Quantitative Research: A Successful Investigation in Natural and Social Sciences. Journal of Economic Development, Environment and People, 9(4), 52-79. Mohajan, H. K. (2021a). Aspects of Global COVID-19 Pandemic. Lambert Academic Publishing, Germany. Mohajan, H. K. (2021b). Global COVID-19 Pandemic: Prevention and Protection Techniques. Journal of Economic Development, Environment and People, 10(1), 51-72. Mohajan, H. K. (2021c). Mathematical Analysis of SEIR Model to Prevent COVID-19 Pandemic (Unpublished Manuscript). Murray, J. D. (2002). Mathematical Biology I: An Introduction. Springer-Verlag, New York, Inc. Nicho, J. (2010). The SIR Epidemiology Model in Predicting Herd Immunity. Undergraduate Journal of Mathematical Modeling, 2(2), 8. Padua, R. N., & Tulang, A. B. (2010). A Density–Dependent Epidemiological Model for the Spread of Infectious Diseases. Liceo Journal of Higher Education Research, 6(2), 1-30. Porwal, P., Shrivastava, P., & Tiwari, S. K. (2015). Study of Simple SIR Epidemic Model. Advances in Applied Science Research, 6(4), 1-4. Ren, L. L., Wang, Y. M., Wu, Z. Q., Xiang, Z. C., Guo, L., & Xu, T. et al. (2020). Identification of a Novel Coronavirus Causing Severe Pneumonia in Human: A Descriptive Study. Chinese Medical Journal, 1-10. https://doi.org/10.1097/CM9.0000000000000722 Rodrigues, H. S. (2016). Application of SIR Epidemiological Model: New Trends. International Journal of Applied Mathematics and Informatics, 10, 92-97. Rothan, H. A., & Byrareddy, S. N. (2020). The Epidemiology and Pathogenesis of Coronavirus Dieses (COVID-19) Outbreak. Journal of Autoimmunity, 109, 102433. https://doi.org/10.1016/j.jaut.2020.102433 Song, P. X., Wang, L., Zhou, Y., He, J., Zhu, B., Wang, F., Tang, L. & Eisenberg, M. (2020). An Epidemiological Forecast Model and Software Assessing Interventions on COVID-19 Epidemic in China. MedRxiv preprint. Talukder, H., Debnath, K., Raquib, A., Uddin, M. M., & Hussain, S. (2020). Estimation of Basic Reproduction Number (Ro) of Novel Coronavirus (COVID-19) from SEIR Model in Perspective of Bangladesh. Journal of Infectious Diseases and Epidemiology, 6, 144. Tang, T., Cao, L., Lan, C.-Y., & Cao, L. (2020). SIR Model for Novel Coronavirus-Infected Transmission Process and Its Application. https://doi.org/10.21203/rs.3.rs-16297/v1 Uddin, R., & Algehyne, E. A. (2021). Mathematical Analysis of COVID-19 by Using SIR Model with Convex Incidence Rate. Results in Physics, 23, 103970. van den Driessche, P. (2017). Reproduction Numbers of Infectious Disease Models. Infectious Disease Modelling, 2, 288-303. Wacker, B., & Schlüter, J. (2020). Time-Continuous and Time-Discrete SIR Models Revisited: Theory and Applications. Advances in Difference Equations, 2020, 556. Wang, C., Hornby, P. W., Hayden, F. G., & Gao, G. F. (2020). A Novel Coronavirus Outbreak of Global Health Concern. Lancet, 395(10223), 470-473. http://dx.doi.org/10.1016/S0140-6736(20)30185-9 Wesley, C. L., & Allen, L. J. S. (2009). The Basic Reproduction Number in Epidemic Models with Periodic Demographics. Journal of Biological Dynamics, 3(2-3), 116-129. WHO (2020a). Novel Coronavirus–China. Geneva, Switzerland: World Health Organization. WHO (2020b). WHO Characterizes COVID-19 as a Pandemic. World Health Organization (WHO). Widyaningsih, P., Saputro, D. R. S., & Nugroho, A. W. (2018). Susceptible Exposed Infected Recovery (SEIR) Model with Immigration: Equilibria Points and Its Application. AIP Conference Proceedings 2014, 020165 (2018), AIP Publishing. Worldometer (2021). COVID-19 Coronavirus Pandemic. American Library Association (ALA). Yang, W., Zhang, D., Peng, L., Zhuge, C., & Hong, L. (2021). Rational Evaluation of Various Epidemic Models Based on the COVID-19 Data of China. Epidemics, 37, 100501. https://doi.org/10.1016/j.epidem.2021.100501 Zhu, W., & Shen, S. (2021). An Improved SIR Model Describing the Epidemic Dynamics of the COVID-19 in China. Results in Physics, 25, 104289. |
URI: | https://mpra.ub.uni-muenchen.de/id/eprint/114390 |