Release Notes

The notion of physical space has long been central in geographical theories. However, the widespread adoption of information and communication technologies (ICTs) has freed human dynamics from purely physical to also relational and cyber spaces. While researchers increasingly recognize such shifts, rarely have studies examined how the information propagates in these hybrid spaces (i.e., physical, relational, and cyber). By exploring the vaccine opinion dynamics through agent-based modeling, this study is the first that combines all hybrid spaces and explores their distinct impacts on human dynamics from an individual’s perspective. Our model captures the temporal dynamics of vaccination progress with a small number of errors (MAE=2.45). Our results suggest that all hybrid spaces are indispensable in vaccine decision-making. However, in our model, most of the agents tend to give more emphasis to the information that is spread in the physical instead of other hybrid spaces. Our study not only sheds light on human dynamics research but also offers a new lens to identifying vaccinated individuals which has long been challenging in disease-spread models. Furthermore, our study also provides responses for practitioners to develop vaccination outreach policies and plan for future outbreaks.

The model is coded using the Mesa framework in Python. The input data is generated and processed using R.
The folder includes:
(a) an overview, design concepts, and details (ODD) protocol.
(b) scripts of the ABM model coded in Python
(c) scripts of population synthesis and network generation in R
(d) input data