Covid-19 Case Fitting Curves
Last update: 29/08/2020
6. References
[1] S. Maltezos, Parametrization Model Motivated from Physical Processes for Studying the Spread of COVID-19 Epidemic. arXiv:2004.05992v2 [physics.soc-ph] (2020).
[2] P. Girardi et al., Robust inference for nonlinear regression models from the Tsallis score: application to Covid-19 contagion in Italy. arXiv:2004.03187v2 [stat.AP] (2020).
[3] M. A. V. Arias, Using generalized logistics regression to forecast population infected by Covid-19. arXiv:2004.02406v1 [q-bio.PE] (2020).
[4] J. Kumar and K. P. S. S. Hembram, Epidemiological study of novel coronavirus (COVID-19). arXiv:2003.11376v1 [q-bio.PE] (2020).
\(
\begin{thebibliography}{10}
\bibitem{Maltezos}
S. Maltezos,
\newblock{Parametrization Model Motivated from Physical Processes
for Studying the Spread of COVID-19 Epidemic}.
\newblock \href{https://arxiv.org/abs/2004.05992}{arXiv:2004.05992v2
[physics.soc-ph]} (2020).
\bibitem{Girardi}
P. Girardi \textit{et al.},
\newblock{Robust inference for nonlinear regression models from the
Tsallis score: application to Covid-19 contagion in Italy}.
\newblock \href{https://arxiv.org/abs/2004.03187}{arXiv:2004.03187v2
[stat.AP]} (2020).
\bibitem{Arias}
M. A. V. Arias,
\newblock{Using generalized logistics regression to forecast
population infected by Covid-19}.
\newblock \href{https://arxiv.org/abs/2004.02406}{arXiv:2004.02406v1
[q-bio.PE]} (2020).
\bibitem{Kumar}
J. Kumar and K. P. S. S. Hembram,
\newblock{Epidemiological study of novel coronavirus (COVID-19)}.
\newblock \href{https://arxiv.org/abs/2003.11376}{arXiv:2003.11376v1
[q-bio.PE]} (2020).
\end{thebibliography}
\)