A review of mathematical model-based scenario analysis and interventions for COVID-19
![Thumbnail](/xmlui/bitstream/handle/10576/22036/1-s2.0-S0169260721003758-main.pdf.jpg?sequence=5&isAllowed=y)
التاريخ
2021-09-30المؤلف
Regina, PadmanabhanAbed, Hadeel S.
Meskin, Nader
Khattab, Tamer
Shraim, Mujahed
Al-Hitmi, Mohammed Abdulla
...show more authors ...show less authors
البيانات الوصفية
عرض كامل للتسجيلةالملخص
Mathematical model-based analysis has proven its potential as a critical tool in the battle against COVID-19 by enabling better understanding of the disease transmission dynamics, deeper analysis of the cost-effectiveness of various scenarios, and more accurate forecast of the trends with and without interventions. However, due to the outpouring of information and disparity between reported mathematical models, there exists a need for a more concise and unified discussion pertaining to the mathematical modeling of COVID-19 to overcome related skepticism. Towards this goal, this paper presents a review of mathematical model-based scenario analysis and interventions for COVID-19 with the main objectives of (1) including a brief overview of the existing reviews on mathematical models, (2) providing an integrated framework to unify models, (3) investigating various mitigation strategies and model parameters that reflect the effect of interventions, (4) discussing different mathematical models used to conduct scenario-based analysis, and (5) surveying active control methods used to combat COVID-19.
معرّف المصادر الموحد
https://www.sciencedirect.com/science/article/pii/S0169260721003758المجموعات
- أبحاث فيروس كورونا المستجد (كوفيد-19) [811 items ]
- الهندسة الكهربائية [2616 items ]
- الصحة العامة [411 items ]