Lessons learned from three Southeast Asian countries during the COVID-19 pandemic

M Khairulbahri - Journal of policy modeling, 2021 - Elsevier
Several scholars have focused on the COVID-19 case studies in Europe and USA, leaving
the people in Southeast Asia with little information about the lesson learned from their own …

Non-Markovian SIR epidemic spreading model of COVID-19

L Basnarkov, I Tomovski, T Sandev, L Kocarev - Chaos, Solitons & Fractals, 2022 - Elsevier
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 …

Prevalence and predicors of COVID-centred obsessive compulsive disorder among Iranian COVID-19 recovered individuals: a Bayesian analysis

AH Shafighi, F Atashzadeh-Shoorideh, A Ebadi… - BMC psychiatry, 2023 - Springer
Background The evidence on the psychological consequences of coronavirus 2019 mainly
relates to general psychiatric problems, and a few studies have reported the incidence and …

[图书][B] COVID-19 pandemic and the migrant population in Southeast Asia: Vaccine, diplomacy and disparity

AKMA Ullah, D Chattoraj - 2022 - books.google.com
The COVID-19 pandemic has impacted about 1 billion migrants (both international and
domestic) in a variety of ways, and this book demonstrates how COVID-19 has widened the …

Insights into the dynamics and control of COVID-19 infection rates

MJ Willis, VHG Díaz, OA Prado-Rubio… - Chaos, Solitons & …, 2020 - Elsevier
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 …

Discrete-time non-Markovian SEIS model on complex networks

I Tomovski, L Basnarkov, A Abazi - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
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 …

Evaluation of the Prevalence and Predictive Factors of Post-COVID Cognitive Disorders Among Iranian COVID-19 Recuperated Individuals: A Bayesian Analysis

F Ghadirian, A Shafighi - Archives of Neuroscience, 2023 - brieflands.com
Background: Coronavirus disease 2019 (COVID-19), as a global crisis, has impacted all
aspects of human life, even long after its universal containment. Among these impacts …

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 …

Investigating the Prevalence of COVID-19-Related Sleep Disorders Among Individuals Recovering from COVID-19: A Cross-Sectional Analytical Study

F Ghadirian, A Shafighi - Jundishapur Journal of Health Sciences, 2023 - brieflands.com
Background: Sleep disorders, as psychological manifestations of COVID-19, have been
correlated with a decreased quality of all aspects of individuals' well-being, even after …

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 …