epinet: An R Package to Analyze Epidemics Spread across Contact Networks

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dc.contributor.author Groendyke, Chris
dc.contributor.author Welch, David
dc.date.accessioned 2021-02-09T21:01:39Z
dc.date.available 2021-02-09T21:01:39Z
dc.date.issued 2018
dc.identifier.citation Groendyke, C. Welch, D., (2018) epinet: An R Package to Analyze Epidemics Spread across Contact Networks. Journal of Statistical Software. Retrieved from: https://www.jstatsoft.org/article/view/v083i11 en_US
dc.identifier.uri http://hdl.handle.net/11347/384
dc.description.abstract We present the R package epinet, which provides tools for analyzing the spread of epidemics through populations. We assume that the relationships among individuals in a population are modeled by a contact network described by an exponential-family random graph model and that the disease being studied spreads across the edges of this network from infectious to susceptible individuals. We use a susceptible-exposed-infectiousremoved compartmental model to describe the progress of the disease within each host. We describe the functionality of the package, which consists of routines that perform simulation, plotting, and inference. The main inference routine utilizes a Bayesian approach and a Markov chain Monte Carlo algorithm. We demonstrate the use of the package through two examples, one involving simulated data and one using data from an actual measles outbreak. en_US
dc.language.iso en_US en_US
dc.publisher Journal of Statistical Software en_US
dc.subject Epidemic en_US
dc.subject Infection en_US
dc.title epinet: An R Package to Analyze Epidemics Spread across Contact Networks en_US
dc.type Article en_US


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