Background Starting in late 2019, COVID‐19, caused by the novel coronavirus SARS‐CoV‐
2, spread around the world. Long‐term care facilities are at particularly high risk of …

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

Background Outbreaks of coronavirus disease (COVID-19) in hospitals and long-term care
facilities (LTCFs) pose serious public health threats. We analysed how frequency and size of …

Age-associated physiologic changes, unique geriatric syndromes, and frequent, prolonged
health care interactions make older adults uniquely vulnerable to infections. The …

Healthcare facilities are vulnerable to SARS-CoV-2 introductions and subsequent
nosocomial outbreaks. Antigen rapid diagnostic testing (Ag-RDT) is widely used for …

Although system dynamics [SD] and agent-based modelling [ABM] have individually served
as effective tools to understand the Covid-19 dynamics, combining these methods in a …

Epidemiological modeling is used, under certain assumptions, to represent the spread of a
disease within a population. Information generated by these models can then be applied to …

The coronavirus disease has caused an ongoing pandemic worldwide since 2019. To slow
the rapid spread of the virus, many countries have adopted lockdown measures. To …

Background Since the onset of the COVID-19 pandemic, mathematical models have been
widely used to inform public health recommendations regarding COVID-19 control in …

Background COVID-19 outbreaks still occur in English care homes despite the interventions
in place. Methods We developed a stochastic compartmental model to simulate the spread …