Superspreading in the emergence of COVID-19 variants

A Gómez-Carballa, J Pardo-Seco, X Bello… - Trends in Genetics, 2021 - cell.com
Superspreading and variants of concern (VOC) of the human pathogen severe acute
respiratory syndrome coronavirus 2 (SARS-CoV-2) are the main catalyzers of the …

[HTML][HTML] A systematic review of COVID-19 transport policies and mitigation strategies around the globe

FC Peralvo, PC Vanegas, E Avila-Ordóñez - Transportation research …, 2022 - Elsevier
This paper reports a Scopus-based systematic literature review of a wide variety of
transportation policies and mitigation strategies that have been conducted around the world …

Simulation and forecasting models of COVID-19 taking into account spatio-temporal dynamic characteristics: A review

P Wang, X Zheng, H Liu - Frontiers in public health, 2022 - frontiersin.org
The COVID-19 epidemic has caused more than 6.4 million deaths to date and has become a
hot topic of interest in different disciplines. According to bibliometric analysis, more than …

[HTML][HTML] A model learning framework for inferring the dynamics of transmission rate depending on exogenous variables for epidemic forecasts

G Ziarelli, S Pagani, N Parolini, F Regazzoni… - Computer Methods in …, 2025 - Elsevier
In this work, we aim to formalize a novel scientific machine learning framework to reconstruct
the hidden dynamics of the transmission rate, whose inaccurate extrapolation can …

[HTML][HTML] COVSIM: A stochastic agent-based COVID-19 SIMulation model for North Carolina

ET Rosenstrom, JS Ivy, ME Mayorga, JL Swann - Epidemics, 2024 - Elsevier
We document the evolution and use of the stochastic agent-based COVID-19 simulation
model (COVSIM) to study the impact of population behaviors and public health policy on …

[HTML][HTML] Exploring the impact of mobility restrictions on the COVID-19 spreading through an agent-based approach

M Fazio, A Pluchino, G Inturri, M Le Pira… - Journal of Transport & …, 2022 - Elsevier
Background The recent health emergency caused by the COVID-19 pandemic forced
people to change their mobility habits, with the reduction of non-essential travels and the …

Control attenuation and temporary immunity in a cellular automata SEIR epidemic model

M Mugnaine, EC Gabrick, PR Protachevicz… - Chaos, Solitons & …, 2022 - Elsevier
Mathematical modeling is an important tool to analyze impacts and plan to mitigate
epidemics in communities. In order to estimate the impact of control measures in a second …

Fractional stochastic differential equation approach for spreading of diseases

LS Lima - Entropy, 2022 - mdpi.com
The nonlinear fractional stochastic differential equation approach with Hurst parameter H
within interval H∈(0, 1) to study the time evolution of the number of those infected by the …

Immunity Agent-Based Model (IABM) for epidemiological systems

MN Gonzaga, MM de Oliveira, APF Atman - Chaos, Solitons & Fractals, 2023 - Elsevier
COVID-19 was one of the pandemic episodes that has afflicted humanity in the last centuries
and may not be the last. In science, the intense spread of the SARS-CoV-2 virus boosted the …

The fading impact of lockdowns: A data analysis of the effectiveness of COVID-19 travel restrictions during different pandemic phases

B Smyth - PLoS One, 2022 - journals.plos.org
As countries struggled with SARS-COV2 outbreaks at the beginning of 2021, many citizens
found themselves in yet another period of increasing travel restrictions, if not a strict …