ANALYSIS AND PREDICTION OF COVID-19 SPREAD USING NUMERICAL METHOD

被引:0
|
作者
Madan, Surbhi [1 ]
Arora, Ritu [2 ]
Garg, Poonam [3 ]
Singh, Dhiraj Kumar [4 ]
机构
[1] Univ Delhi, Dept Math, Shivaji Coll, New Delhi 110027, India
[2] Univ Delhi, Dept Math, Janki Devi Mem Coll, Sir Ganga Ram Hosp Marg, New Delhi 110060, India
[3] Univ Delhi, Dept Math, Deen Dayal Upadhyaya Coll, Azad Hind Fauj Marg, Delhi 110078, India
[4] Univ Delhi, Dept Math, Zakir Husain Delhi Coll, Jawaharlal Nehru Marg, Delhi 110002, India
来源
ADVANCES IN DIFFERENTIAL EQUATIONS AND CONTROL PROCESSES | 2022年 / 27卷
关键词
virus; pandemic; prediction; Italy; economy; DIFFERENTIAL TRANSFORM METHOD;
D O I
10.17654/0974324322015
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
In this paper, we have discussed the impact of Coronavirus variants in a phase of 2021-22 along with a previous phase of 2020-21 in Italy. We analyse and compare the Covid-19 scenario in Italy for the period from October 04, 2020 to January 16, 2021 with a period from October 04, 2021 to January 16, 2022. For this study, we have used repeated multi-step differential transform method (RMsDTM). Also, we have predicted the number of active cases for 10 days following the period of study.
引用
收藏
页码:97 / 114
页数:18
相关论文
共 50 条
  • [1] Analysis and prediction of the spread of COVID-19 in North Macedonia
    Lazarova, Limonka Koceva
    Stojanova, Aleksandra
    Stojkovikj, Natasha
    Miteva, Marija
    Ljubenovska, Marija
    ASIAN-EUROPEAN JOURNAL OF MATHEMATICS, 2022, 15 (10)
  • [2] Numerical analysis of an isolation room to prevent the spread of COVID-19
    Arslan, Erhan
    JOURNAL OF THERMAL ENGINEERING, 2022, 8 (05): : 632 - 641
  • [3] Analysis of the COVID-19 pandemic and prediction with numerical methods
    Singh, M. M.
    Suthar, D. L.
    Agarwal, G.
    Purohit, S. D.
    INTERNATIONAL JOURNAL OF MATHEMATICS FOR INDUSTRY, 2024,
  • [4] On the accuracy of ARIMA based prediction of COVID-19 spread
    Alabdulrazzaq, Haneen
    Alenezi, Mohammed N.
    Rawajfih, Yasmeen
    Alghannam, Bareeq A.
    Al-Hassan, Abeer A.
    Al-Anzi, Fawaz S.
    RESULTS IN PHYSICS, 2021, 27
  • [5] Measuring the worldwide spread of COVID-19 using a comprehensive modeling method
    Zhou, Xiang
    Ma, Xudong
    Gao, Sifa
    Ma, Yingying
    Gao, Jianwei
    Jiang, Huizhen
    Zhu, Weiguo
    Hong, Na
    Long, Yun
    Su, Longxiang
    BMC MEDICAL INFORMATICS AND DECISION MAKING, 2023, 21 (SUPPL 9)
  • [6] Measuring the worldwide spread of COVID-19 using a comprehensive modeling method
    Xiang Zhou
    Xudong Ma
    Sifa Gao
    Yingying Ma
    Jianwei Gao
    Huizhen Jiang
    Weiguo Zhu
    Na Hong
    Yun Long
    Longxiang Su
    BMC Medical Informatics and Decision Making, 21
  • [7] Prediction of COVID-19 spread by sliding mSEIR observer
    Duxin Chen
    Yifan Yang
    Yifan Zhang
    Wenwu Yu
    Science China Information Sciences, 2020, 63
  • [8] Prediction of COVID-19 spread by sliding mSEIR observer
    Duxin CHEN
    Yifan YANG
    Yifan ZHANG
    Wenwu YU
    Science China(Information Sciences), 2020, 63 (12) : 166 - 178
  • [9] Prediction of COVID-19 spread by sliding mSEIR observer
    Chen, Duxin
    Yang, Yifan
    Zhang, Yifan
    Yu, Wenwu
    SCIENCE CHINA-INFORMATION SCIENCES, 2020, 63 (12)
  • [10] Spread & Peak Prediction of Covid-19 using ANN and Regression (Workshop Paper)
    Prakash, Anupam
    Sharma, Piyush
    Sinha, Indrajeet Kumar
    Singh, Upendra Pratap
    2020 IEEE SIXTH INTERNATIONAL CONFERENCE ON MULTIMEDIA BIG DATA (BIGMM 2020), 2020, : 356 - 365