Dynamic parameterization of a modified SEIRD model to analyze and forecast the dynamics of COVID-19 outbreaks in the United States


Journal article


Orhun O Davarci, Emily Y Yang, Alexander Viguerie, Thomas E Yankeelov, Guillermo Lorenzo
Engineering with Computers, vol. 40, 2024, pp. 813–837


Cite

Cite

APA   Click to copy
Davarci, O. O., Yang, E. Y., Viguerie, A., Yankeelov, T. E., & Lorenzo, G. (2024). Dynamic parameterization of a modified SEIRD model to analyze and forecast the dynamics of COVID-19 outbreaks in the United States. Engineering with Computers, 40, 813–837. https://doi.org/10.1007/s00366-023-01816-9


Chicago/Turabian   Click to copy
Davarci, Orhun O, Emily Y Yang, Alexander Viguerie, Thomas E Yankeelov, and Guillermo Lorenzo. “Dynamic Parameterization of a Modified SEIRD Model to Analyze and Forecast the Dynamics of COVID-19 Outbreaks in the United States.” Engineering with Computers 40 (2024): 813–837.


MLA   Click to copy
Davarci, Orhun O., et al. “Dynamic Parameterization of a Modified SEIRD Model to Analyze and Forecast the Dynamics of COVID-19 Outbreaks in the United States.” Engineering with Computers, vol. 40, 2024, pp. 813–37, doi:10.1007/s00366-023-01816-9.


BibTeX   Click to copy

@article{davarci2024a,
  title = {Dynamic parameterization of a modified SEIRD model to analyze and forecast the dynamics of COVID-19 outbreaks in the United States},
  year = {2024},
  journal = {Engineering with Computers},
  pages = {813–837},
  volume = {40},
  doi = {10.1007/s00366-023-01816-9},
  author = {Davarci, Orhun O and Yang, Emily Y and Viguerie, Alexander and Yankeelov, Thomas E and Lorenzo, Guillermo}
}