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 …

This study systematically reviews applications of three simulation approaches, that is,
system dynamics model (SDM), agent‐based model (ABM) and discrete event simulation …

The rising number of COVID-19 cases and economic implications of lockdown measures
indicate the tricky balancing act policy makers face as they implement the subsequent …

This paper presents JuSt-Social, an agent-based model of the COVID-19 epidemic with a
range of potential social policy interventions. It was developed to support local authorities in …

A common feature of computational modelling and simulation research is the need to
perform many tasks in complex sequences to achieve a usable result. This will typically …

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 …

This paper introduces the EPIPOL disease simulation model, constructed upon the Patterns-
of-life simulation, designed to produce human trajectory data. Over recent years, a surge in …

Pandemics have huge impact on all aspect of people's lives. As we have experienced
during the Coronavirus pandemic, healthcare, education and the economy have been put …

Purpose Social intervention strategies to mitigate COVID-19 are examined using an agent-
based simulation model. Outbreak in a large urban region, Miami-Dade County, Florida …

The emergence of big data science presents a unique opportunity to improve public-health
research practices. Because working with big data is inherently complex, big data research …