An evaluation of prospective COVID-19 modelling studies in the USA: from data to science translation

K Nixon, S Jindal, F Parker, NG Reich… - The Lancet Digital …, 2022 - thelancet.com
Infectious disease modelling can serve as a powerful tool for situational awareness and
decision support for policy makers. However, COVID-19 modelling efforts faced many …

[HTML][HTML] SIRVD-DL: A COVID-19 deep learning prediction model based on time-dependent SIRVD

Z Liao, P Lan, X Fan, B Kelly, A Innes, Z Liao - Computers in Biology and …, 2021 - Elsevier
COVID-19 is one of the biggest challenges that human beings have faced recently. Many
researchers have proposed different prediction methods for establishing a virus …

Extended Kalman filter based on stochastic epidemiological model for COVID-19 modelling

X Zhu, B Gao, Y Zhong, C Gu, KS Choi - Computers in Biology and …, 2021 - Elsevier
This paper presents a new stochastic-based method for modelling and analysis of COVID-
19 spread. A new deterministic Susceptible, Exposed, Infectious, Recovered (Re-infected) …

Multi-regional collaborative mechanisms in emergency resource reserve and pre-dispatch design

J Jiang, J Ma, X Chen - International Journal of Production Economics, 2024 - Elsevier
This paper studies collaborative mechanisms in multi-regional emergency resource reserve
and pre-dispatch design in the context of emerging pandemics. First, by depicting the …

[HTML][HTML] Understanding digital platform evolution using compartmental models

GA Szalkowski, P Mikalef - Technological Forecasting and Social Change, 2023 - Elsevier
Due to the growing impact of digital platforms, it is increasingly important to understand their
evolution through mathematical models. As their value is dependent on their user base, we …

Impacts of detection and contact tracing on the epidemic spread in time-varying networks

X Hong, Y Han, B Wang - Applied Mathematics and Computation, 2023 - Elsevier
In the situation of insufficient vaccines and rapid mutation of the virus, detection and contact
tracing have been argued to be effective interventions in the containment of emergent …

Symmetry analyses of epidemiological model for Monkeypox virus with Atangana–Baleanu fractional derivative

T Gunasekar, S Manikandan, V Govindan, J Ahmad… - Symmetry, 2023 - mdpi.com
The monkeypox virus causes a respiratory illness called monkeypox, which belongs to the
Poxviridae virus family and the Orthopoxvirus genus. Although initially endemic in Africa, it …

Enhancing COVID-19 forecasting precision through the integration of compartmental models, machine learning and variants

D Baccega, P Castagno, A Fernández Anta… - Scientific Reports, 2024 - nature.com
Predicting epidemic evolution is essential for making informed decisions and guiding the
implementation of necessary countermeasures. Computational models are vital tools that …

AGGFORCLUS: A hybrid methodology integrating forecasting with clustering to assess mitigation plans and contagion risk in pandemic outbreaks: the COVID-19 …

M Soto-Ferrari, A Carrasco-Pena… - Journal of Business …, 2023 - Taylor & Francis
The COVID-19 pandemic showed governments' unpreparedness as decision-makers hastily
created restrictions and policies to contain its spread. Identifying prospective areas with a …

A novel model for monkeypox disease: System analysis and optimal preventive strategies

D Yapışkan, M Yurtoğlu, D Avcı… - Iranian Journal of …, 2023 - Springer
Monkeypox is an infectious disease caused by the monkeypox virus, which belongs to the
Poxviridae virus family and the Orthopoxvirus genus. Although initially endemic in Africa, it …