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 …

Introduction Epidemiological modeling is widely used to offer insights into the COVID-19
pandemic situation in Asia. We reviewed published computational (mathematical/simulation) …

Background In 2020, COVID-19 has claimed more than 300,000 deaths in the United States
alone. Although nonpharmaceutical interventions were implemented by federal and state …

Coronavirus disease 2019 (COVID-19) is an infectious disease of humans caused by severe
acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Since the first case was identified …

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 …

Agent-based modeling (ABM) is a well-established computational paradigm for simulating
complex systems in terms of the interactions between individual entities that comprise the …

Objectives To examine recent literature in order to present a comprehensive overview of the
current trends as regards the computational models used to represent the propagation of an …

The evolution of an epidemic is strongly related to the behavior of individuals, and the
consideration of cause and effect of social phenomena can extend epidemiological models …

How to mitigate the spread of infectious diseases like COVID-19 in indoor environments
remains an important research question. In this study, we propose an agent-based modeling …

Daily activities and mobility dynamics play a central role in the spread of COVID-19. Close
physical interactions involved by certain daily activities help transmit the virus. Travel …