When planning interventions to limit the spread of Covid-19, 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 …

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 …

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 …

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 …

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 …

An important subset of today's global crises, such as the 2015 migration crisis in Syria and
the 2020 COVID pandemic, has a rapid and hard-to-extrapolate evolution that complicates …

National economy and growth rely heavily on electricity but rapid urbanization, expeditious
industrialization and increased domestic use due to population growth are among the …