mk

Martin Kröger
Prof Dr rer nat habil

Simplicity is the ultimate sophistication
Leonardo da Vinci (1452-1519)

home
group members
PhD students
livecam
open positions

publications

research

education

talks

boards

cv

awards

links

contact

1 selected entry has been cited at least 1 times (SCI, 04-05-2024)

Article   R. Schlickeiser, M. Kröger
Key epidemic parameters of the SIRV model determined from past Covid-19 mutant waves
Covid 3 (2023) 592-600
Monitored infection and vaccination rates during past past waves of the coronavirus are used to infer a posteriori two-key parameter of the SIRV epidemic model, namely, the real-time variation in (i) the ratio of recovery to infection rate and (ii) the ratio of vaccination to infection rate. We demonstrate that using the classical SIR model, the ratio between recovery and infection rates tends to overestimate the true ratio, which is of relevance in predicting the dynamics of an epidemic in the presence of vaccinations.


for LaTeX users
@article{RSchlickeiser2023-3,
 author = {R. Schlickeiser and M. Kr\"oger},
 title = {Key epidemic parameters of the SIRV model determined from past Covid-19 mutant waves},
 journal = {Covid},
 volume = {3},
 pages = {592-600},
 year = {2023}
}

\bibitem{RSchlickeiser2023-3} R. Schlickeiser, M. Kr\"oger,
Key epidemic parameters of the SIRV model determined from past Covid-19 mutant waves,
Covid {\bf 3} (2023) 592-600.

RSchlickeiser2023-3
R. Schlickeiser, M. Kr\"oger
Key epidemic parameters of the SIRV model determined from past Covid-19 mutant waves
Covid,3,2023,592-600


meetings »»



NOVA project »»


POLYHUB project »»

© 2024