A simple finite delayed multi-type branching process for infectious disease modeling
Probability
2023-01-27 v5
Abstract
We study a model for the spread of an infectious disease which incorporates spatial and temporal effects. The model is a delayed multi-type branching process in which types represent geographic regions while infected individuals reproduce offspring during a finite time interval and have convalescence times and random death/recovery outcomes. We give simple expressions for the limit of the geometrically weighted mean evolution of the process.
Cite
@article{arxiv.2101.06790,
title = {A simple finite delayed multi-type branching process for infectious disease modeling},
author = {Andrew Hart and Servet Martínez},
journal= {arXiv preprint arXiv:2101.06790},
year = {2023}
}
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8 pages