Non-Markovian SIR epidemic spreading model of COVID-19
We introduce non-Markovian SIR epidemic spreading model inspired by the characteristics
of the COVID-19, by considering discrete-and continuous-time versions. The distributions of …
of the COVID-19, by considering discrete-and continuous-time versions. The distributions of …
Insights into the dynamics and control of COVID-19 infection rates
This work aims to model, simulate and provide insights into the dynamics and control of
COVID-19 infection rates. Using an established epidemiological model augmented with a …
COVID-19 infection rates. Using an established epidemiological model augmented with a …
Discrete-time non-Markovian SEIS model on complex networks
We study a discrete-time variant of the non-Markovian SEIS (Susceptible-Exposed-Infectious-
Susceptible) model, occurring on complex networks. The model assumes for an arbitrary …
Susceptible) model, occurring on complex networks. The model assumes for an arbitrary …
Evaluating early pandemic response through length-of-stay analysis of case logs and epidemiological modeling: A case study of Singapore in early 2020
J Sreevalsan-Nair, A Mubayi, J Chhabra… - Computational and …, 2023 - degruyter.com
It is now known that early government interventions in pandemic management helps in
slowing down the pandemic in the initial phase, during which a conservative basic …
slowing down the pandemic in the initial phase, during which a conservative basic …
A compartmental epidemiological model for the dissemination of the COVID-19 disease
E Matsinos - 2020 - preprints.org
A compartmental epidemiological model with seven groups is introduced herein, to account
for the dissemination of diseases similar to the Coronavirus disease 2019 (COVID-19). In its …
for the dissemination of diseases similar to the Coronavirus disease 2019 (COVID-19). In its …