Electronic circuit implementation of the compartmental models for population dynamics of COVID-19 like epidemics

被引:0
|
作者
V P THAFASAL IJYAS
ABDULILAH MOHAMMAD MAYET
机构
[1] King Khalid University,Department of Electrical Engineering, College of Engineering
来源
Sādhanā | 2022年 / 47卷
关键词
COVID-19; compartmental models; electronic circuit; opamp; pandemic; epidemic;
D O I
暂无
中图分类号
学科分类号
摘要
Modelling of population dynamics of epidemic diseases is crucial in developing effective strategies for curbing the diseases. It helps us identify the various parameters that can help control the epidemic if the modelling is done carefully. Physical modelling of the dynamics in the form of circuits and systems can augment the understanding of disease mechanisms. In this paper, we develop two electronic circuit models for realizing the dynamics of two compartmental models widely used in epidemiological studies. These models are important in the context of the current, rampant COVID-19 global pandemic. This innovative study will no doubt pave the way for developing electronic circuits and analog processing systems that can simulate the dynamics of more complex population models.
引用
收藏
相关论文
共 50 条
  • [31] Prediction of the COVID-19 spread in Russia based on SIR and SEIR models of epidemics
    Tomchin, Dmitry A.
    Fradkov, Alexander L.
    IFAC PAPERSONLINE, 2020, 53 (05): : 833 - 838
  • [32] PREDICTING EPIDEMICS WITH MATHEMATICAL MODELS - WHAT COVID-19 TAUGHT US ON RSV
    Agyeman, P. K. A.
    Schobi, N.
    Steinberg, R.
    Barbani, M. T.
    Duppenthaler, A.
    Hayoz, S.
    Kopp, M.
    Aebi, C.
    SWISS MEDICAL WEEKLY, 2023, 153 : 36S - 36S
  • [33] Stochastic compartmental models of the COVID-19 pandemic must have temporally correlated uncertainties
    Mamis, Konstantinos
    Farazmand, Mohammad
    PROCEEDINGS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES, 2023, 479 (2269):
  • [34] Epidemiological Forecasting with Model Reduction of Compartmental Models. Application to the COVID-19 Pandemic
    Bakhta, Athmane
    Boiveau, Thomas
    Maday, Yvon
    Mula, Olga
    BIOLOGY-BASEL, 2021, 10 (01): : 1 - 42
  • [35] A compartmental model to investigate the dynamics of the COVID-19 pandemic: A case study in five countries
    Apenteng, Ofosuhene O.
    Oduro, Bismark
    Owusu-Mensah, Isaac
    INTERNATIONAL JOURNAL OF BIOMATHEMATICS, 2021, 14 (05)
  • [36] Switched forced SEIRDV compartmental models to monitor COVID-19 spread and immunization in Italy
    Antonelli, Erminia
    Piccolomini, Elena Loli
    Zama, Fabiana
    INFECTIOUS DISEASE MODELLING, 2022, 7 (01) : 1 - 15
  • [37] STOCHASTIC MODELLING AND ESTIMATION OF COVID-19 POPULATION DYNAMICS
    Yanev, Nikolay M.
    Stoimenova, Vessela K.
    Atanasov, Dimitar V.
    COMPTES RENDUS DE L ACADEMIE BULGARE DES SCIENCES, 2020, 73 (04): : 451 - 460
  • [38] Population models, mathematical epidemiology, and the COVID-19 pandemic
    Rosenberg, Noah A.
    THEORETICAL POPULATION BIOLOGY, 2021, 137 : 1 - 1
  • [39] Forecasting the effects of vaccination on the COVID-19 pandemic in Malaysia using SEIRV compartmental models
    Lim, Mei Cheng
    Singh, Sarbhan
    Lai, Chee Herng
    Gill, Balvinder Singh
    Kamarudin, Mohd Kamarulariffin
    Zamri, Ahmed Syahmi Syafiq Md
    Tan, Cia Vei
    Zulkifli, Asrul Anuar
    Nadzri, Mohamad Nadzmi Md
    Ghazali, Nur'ain Mohd
    Ghazali, Sumarni Mohd
    Iderus, Nuur Hafizah Md
    Ahmad, Nur Ar Rabiah Binti
    Suppiah, Jeyanthi
    Tee, Kok Keng
    Aris, Tahir
    Ahmad, Lonny Chen Rong Qi
    EPIDEMIOLOGY AND HEALTH, 2023, 45 : 1 - 9
  • [40] Prediction of Epidemics Trend of COVID-19 in Bangladesh
    Hassan, Raguib
    Dosar, Abu Sayem
    Mondol, Joytu Kumar
    Khan, Tahmid Hassan
    Al Noman, Abdullah
    Sayem, Mirajus Salehin
    Hasan, Moinul
    Juyena, Nasrin Sultana
    FRONTIERS IN PUBLIC HEALTH, 2020, 8