Agent-based social simulation of the COVID-19 pandemic: A systematic review
When planning interventions to limit the spread of Covid-, the current state of knowledge
about the disease and specific characteristics of the population need to be considered …
about the disease and specific characteristics of the population need to be considered …
Modelling transmission and control of the COVID-19 pandemic in Australia
There is a continuing debate on relative benefits of various mitigation and suppression
strategies aimed to control the spread of COVID-19. Here we report the results of agent …
strategies aimed to control the spread of COVID-19. Here we report the results of agent …
COVID-ABS: An agent-based model of COVID-19 epidemic to simulate health and economic effects of social distancing interventions
The COVID-19 pandemic due to the SARS-CoV-2 coronavirus has directly impacted the
public health and economy worldwide. To overcome this problem, countries have adopted …
public health and economy worldwide. To overcome this problem, countries have adopted …
Simulation, science, and stakeholders: Challenges and opportunities for modelling solutions to societal problems
FLR Shults - Complexity, 2023 - Wiley Online Library
The article outlines an approach to computer modelling called “human simulation,” whose
development has been explicitly oriented towards addressing societal problems through …
development has been explicitly oriented towards addressing societal problems through …
[HTML][HTML] The impact of COVID-19-related lockdown on diet and serum markers in healthy adults
N Bogataj Jontez, K Novak, S Kenig, A Petelin… - Nutrients, 2021 - mdpi.com
Due to limited data about the impact of lockdown on health status, the present study aimed
to investigate the impact of COVID-19-related lockdown on changes in dietary habits …
to investigate the impact of COVID-19-related lockdown on changes in dietary habits …
[HTML][HTML] Fast response to superspreading: Uncertainty and complexity in the context of COVID-19
Although the first coronavirus disease 2019 (COVID-19) wave has peaked with the second
wave underway, the world is still struggling to manage potential systemic risks and …
wave underway, the world is still struggling to manage potential systemic risks and …
Agent‐based modelling for SARS‐CoV‐2 epidemic prediction and intervention assessment: A methodological appraisal
Background Our purpose is to assess epidemiological agent‐based models—or ABMs—of
the SARS‐CoV‐2 pandemic methodologically. The rapid spread of the outbreak requires …
the SARS‐CoV‐2 pandemic methodologically. The rapid spread of the outbreak requires …
Agent-based modelling as a method for prediction in complex social systems
Agent-based models (ABMs) have their origins in considerations of complexity science
stipulating that many phenomena can be 'grown from the bottom up'. Explicitly, this was …
stipulating that many phenomena can be 'grown from the bottom up'. Explicitly, this was …
Models for government intervention during a pandemic
While intervention policies such as social distancing rules, lockdowns, and curfews may
save lives during a pandemic, they impose substantial direct and indirect costs on societies …
save lives during a pandemic, they impose substantial direct and indirect costs on societies …
Control of COVID‐19 outbreaks under stochastic community dynamics, bimodality, or limited vaccination
B Goldenbogen, SO Adler, O Bodeit… - Advanced …, 2022 - Wiley Online Library
Reaching population immunity against COVID‐19 is proving difficult even in countries with
high vaccination levels. Thus, it is critical to identify limits of control and effective measures …
high vaccination levels. Thus, it is critical to identify limits of control and effective measures …