Learn R Programming

spread

An R package that contains different infectious disease spread models.

Currently we have implemented commuter model. This model is a stochastic SEIIaR (susceptible, exposed, infectious, infectious asymptomatic, recovered) metapopulation model that including commuting. Each location has a local infection system, while the locations are connected by people who commute each day. The model differentiates between day and night. During the day you can infect/be infected in the location where you work, while during the night you can infect/be infected in the location where you live. It is the same commuters who travel back and forth each day. At the start of a day, all commuters are sent to their work location, where they mix for 12 hours. The commuters are then sent to their respective home locations, where they mix for 12 hours. The model is based upon a published model.

Copy Link

Version

Install

install.packages('spread')

Monthly Downloads

10

Version

2019.8.5

License

GPL-3

Maintainer

Last Published

August 20th, 2019

Functions in spread (2019.8.5)

norway_seiiar_oslo_2017

SEIIaR data.frame for Norway with 10 people infected in Oslo and everyone susceptible.
norway_seiiar_measles_oslo_2017

SEIIaR data.frame for Norway with 10 people infected in Oslo and real measles susceptibility.
commuter_cpp

commuter
norway_commuters_2017

Daily number of commuters from/to municipalities in Norway in 2017
commuter

commuter
convert_blank_seiiar_with_vax

Convert blank seiiar with vax
norway_seiiar_noinfected_2017

SEIIaR data.frame for Norway with no one infected and everyone susceptible.
norway_seiiar_measles_noinfected_2017

SEIIaR data.frame for Norway with no one infected and real measles susceptibility.