epimodel.md

name	doi	title-paper	software-package	parameters	keywords	software-only	date	data-source	example-papers	links
EpiModel	10.18637/jss.v084.i08	EpiModel: An R Package for Mathematical Modeling of Infectious Disease over Networks	R EpiModel https://cran.r-project.org/package=EpiModel		abm networks sna ergm	false	2022-08-22		https://www.ncbi.nlm.nih.gov/pubmed/26613096 https://www.ncbi.nlm.nih.gov/pubmed/27053751 https://link.springer.com/article/10.1007/s00265-016-2093-3 http://sti.bmj.com/content/early/2016/06/09/sextrans-2015-052476.abstract https://doi.org/10.1016/j.ecolmodel.2022.109973 https://doi.org/10.1101/2022.05.20.22275395 https://pubmed.ncbi.nlm.nih.gov/35921635/	https://www.epimodel.org https://github.com/EpiModel/EpiModelHIV

From the abstract:

Package EpiModel provides tools for building, simulating, and analyzing mathematical models for the population dynamics of infectious disease transmission in R. Several classes of models are included, but the unique contribution of this software package is a general stochastic framework for modeling the spread of epidemics on networks. EpiModel integrates recent advances in statistical methods for network analysis (temporal exponential random graph models) that allow the epidemic modeling to be grounded in empirical data on contacts that can spread infection. This article provides an overview of both the modeling tools built into EpiModel, designed to facilitate learning for students new to modeling, and the application programming interface for extending package EpiModel, designed to facilitate the exploration of novel research questions for advanced modelers.