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Application of Mathematical Modeling in Prediction of COVID-19 Transmission Dynamics.

التفاصيل البيبلوغرافية
العنوان: Application of Mathematical Modeling in Prediction of COVID-19 Transmission Dynamics.
المؤلفون: AlArjani A; Department of Mechanical & Industrial Engineering, College of Engineering, Prince Sattam Bin Abdulaziz University, AlKharj, 16273 Saudi Arabia., Nasseef MT; Douglas Hospital Research Center, Department of Psychiatry, School of Medicine, McGill University, Montreal, QC Canada., Kamal SM; Department of Internal Medicine, College of medicine, Prince Sattam Bin Abdulaziz University, AlKharj, 11942 Saudi Arabia., Rao BVS; Dept of Information Technology, PVP Siddhartha Institute of Technology, Chalasani Nagar, Kanuru, Vijayawada, Andhra Pradesh 520007 India., Mahmud M; Department of Computer Science, Nottingham Trent University, Clifton, Nottingham, NG11 8NS UK.; Medical Technologies Innovation Facility, Nottingham Trent University, Clifton, Nottingham, NG11 8NS UK.; Computing and Informatics Research Centre, Nottingham Trent University, Clifton, Nottingham, NG11 8NS UK., Uddin MS; Department of Mechanical & Industrial Engineering, Prince Sattam Bin Abdulaziz University, AlKharj, 16273 Saudi Arabia.; Department of Mathematics, Jahangirnagar University, Savar, Dhaka, 1342 Bangladesh.
المصدر: Arabian journal for science and engineering [Arab J Sci Eng] 2022; Vol. 47 (8), pp. 10163-10186. Date of Electronic Publication: 2022 Jan 07.
نوع المنشور: Journal Article
اللغة: English
بيانات الدورية: Publisher: Springer Country of Publication: Germany NLM ID: 101698714 Publication Model: Print-Electronic Cited Medium: Print ISSN: 2193-567X (Print) Linking ISSN: 21914281 NLM ISO Abbreviation: Arab J Sci Eng Subsets: PubMed not MEDLINE
أسماء مطبوعة: Original Publication: Berlin ; Heidelberg : Springer
مستخلص: The entire world has been affected by the outbreak of COVID-19 since early 2020. Human carriers are largely the spreaders of this new disease, and it spreads much faster compared to previously identified coronaviruses and other flu viruses. Although vaccines have been invented and released, it will still be a challenge to overcome this disease. To save lives, it is important to better understand how the virus is transmitted from one host to another and how future areas of infection can be predicted. Recently, the second wave of infection has hit multiple countries, and governments have implemented necessary measures to tackle the spread of the virus. We investigated the three phases of COVID-19 research through a selected list of mathematical modeling articles. To take the necessary measures, it is important to understand the transmission dynamics of the disease, and mathematical modeling has been considered a proven technique in predicting such dynamics. To this end, this paper summarizes all the available mathematical models that have been used in predicting the transmission of COVID-19. A total of nine mathematical models have been thoroughly reviewed and characterized in this work, so as to understand the intrinsic properties of each model in predicting disease transmission dynamics. The application of these nine models in predicting COVID-19 transmission dynamics is presented with a case study, along with detailed comparisons of these models. Toward the end of the paper, key behavioral properties of each model, relevant challenges and future directions are discussed.
Competing Interests: Conflict of interestThe authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
(© The Author(s) 2022.)
فهرسة مساهمة: Keywords: Coronavirus; ODE; Prediction; SARS-CoV-2; SEIR; SIR
تواريخ الأحداث: Date Created: 20220112 Latest Revision: 20220812
رمز التحديث: 20221213
مُعرف محوري في PubMed: PMC8739391
DOI: 10.1007/s13369-021-06419-4
PMID: 35018276
قاعدة البيانات: MEDLINE
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