nosoi package for R: stochastic agent-based transmission chain simulator

Sebastian Lequime; Paul Bastide; Simon Dellicour; Philippe Lemey; Guy Baele

nosoi package for R: stochastic agent-based transmission chain simulator

Sebastian Lequime (Developer), Paul Bastide (Photographer), Simon Dellicour (Photographer), Philippe Lemey (Photographer), Guy Baele (Photographer)

Lequime lab - Virus Ecology and Evolution

Research output: Non-textual form › Software › Academic

Abstract

The aim of nosoi (pronounced no.si) is to provide a flexible agent-based stochastic transmission chain/epidemic simulator (Lequime et al. Methods in Ecology and Evolution 11:1002-1007). It is named after the daimones of plague, sickness and disease that escaped Pandora’s jar in the Greek mythology. nosoi is able to take into account the influence of multiple variable on the transmission process (e.g. dual-host systems (such as arboviruses), within-host viral dynamics, transportation, population structure), alone or taken together, to create complex but relatively intuitive epidemiological simulations.

Installation

Original language	English
Publication status	Published - 2020

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title = "nosoi package for R: stochastic agent-based transmission chain simulator",

abstract = "The aim of nosoi (pronounced no.si) is to provide a flexible agent-based stochastic transmission chain/epidemic simulator (Lequime et al. Methods in Ecology and Evolution 11:1002-1007). It is named after the daimones of plague, sickness and disease that escaped Pandora{\textquoteright}s jar in the Greek mythology. nosoi is able to take into account the influence of multiple variable on the transmission process (e.g. dual-host systems (such as arboviruses), within-host viral dynamics, transportation, population structure), alone or taken together, to create complex but relatively intuitive epidemiological simulations.Installation",

author = "Sebastian Lequime and Paul Bastide and Simon Dellicour and Philippe Lemey and Guy Baele",

year = "2020",

language = "English",

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TY - ADVS

T1 - nosoi package for R

T2 - stochastic agent-based transmission chain simulator

A2 - Lequime, Sebastian

A2 - Bastide, Paul

A2 - Dellicour, Simon

A2 - Lemey, Philippe

A2 - Baele, Guy

PY - 2020

Y1 - 2020

N2 - The aim of nosoi (pronounced no.si) is to provide a flexible agent-based stochastic transmission chain/epidemic simulator (Lequime et al. Methods in Ecology and Evolution 11:1002-1007). It is named after the daimones of plague, sickness and disease that escaped Pandora’s jar in the Greek mythology. nosoi is able to take into account the influence of multiple variable on the transmission process (e.g. dual-host systems (such as arboviruses), within-host viral dynamics, transportation, population structure), alone or taken together, to create complex but relatively intuitive epidemiological simulations.Installation

AB - The aim of nosoi (pronounced no.si) is to provide a flexible agent-based stochastic transmission chain/epidemic simulator (Lequime et al. Methods in Ecology and Evolution 11:1002-1007). It is named after the daimones of plague, sickness and disease that escaped Pandora’s jar in the Greek mythology. nosoi is able to take into account the influence of multiple variable on the transmission process (e.g. dual-host systems (such as arboviruses), within-host viral dynamics, transportation, population structure), alone or taken together, to create complex but relatively intuitive epidemiological simulations.Installation

UR - https://slequime.github.io/nosoi/

M3 - Software

ER -

nosoi package for R: stochastic agent-based transmission chain simulator

Abstract

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nosoi: A stochastic agent-based transmission chain simulation framework in R

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