Self-exciting Point Processes: Infections and Implementations
Sebastian Meyer
TL;DR
This paper discusses modeling infectious disease spread using self-exciting point processes and emphasizes the importance of software tools for implementing these models to facilitate new applications.
Contribution
It provides practical insights from infectious disease modeling and highlights software availability, complementing existing reviews on self-exciting spatio-temporal point processes.
Findings
Insights from modeling infectious disease spread
Highlights on software tools for model implementation
Emphasis on software's role in advancing applications
Abstract
This is a comment on Reinhart's "Review of Self-Exciting Spatio-Temporal Point Processes and Their Applications" (arXiv:1708.02647v1). I contribute some experiences from modelling the spread of infectious diseases. Furthermore, I try to complement the review with regard to the availability of software for the described models, which I think is essential in "paving the way for new uses".
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