… to simulate the kinds of microscale policies being used to respond to the COVID-19 … -oriented
agents, this implementation increased development time and increased the complexity for …

… obtain better conclusions from processes, simple models are … modeling characteristics of
the Agent-based models have … market [16], the characterization of the immune system [17], the …

… Improved outcomes include a lower mortality and … increased risks of psychological and
medical complications 5,12 , we believe that our less-stringent strategy would have increased …

… public health response [9–14]. Here, we focus on developing OpenABM-Covid19, an agent-based
… We present OpenABM-Covid19, a COVID-19-specific agent-based model suitable for …

… The model can be easily extended to other societies by changing the input parameters, as
… to the simulation and improved the performance of the economic response variables when …

… on the health system. An agent-based model is proposed as such a tool, where agents-people …
The model showed an adequate response in the course of computer experiments to the …

… : Immune system conditions of the patient is a key factor in COVID-19 infection survival. A
growing number of studies have focused on immunological determinants to develop better …

Defining a multicellular model can be challenging. There may be hundreds of parameters
that specify the attributes and behaviors of objects. In the best case, the model will be defined …

We present two models for the COVID-19 pandemic predicting the impact of universal face
mask wearing upon the spread of the SARS-CoV-2 virus--one employing a stochastic …

… subsets to better reflect reality, the models get increasingly … used both agent-based and
equation-based models in this … COVID-19 response used an agent-based model built in 2005 to …