population

This package estimates the time-varying reproduction number, rate of spread, and doubling time using a range of open-source tools (Abbott et al. (2020) <doi:10.12688/wellcomeopenres.16006.1>), and current best practices (Gostic et al. (2020) <doi:10.1101/2020.06.18.20134858>). It aims to help users avoid some of the limitations of naive implementations in a framework that is informed by community feedback and is under active development.

non-collection specific

(Simple) Released

TAR.GZ

English

MIT License

ORCID

Sam Abbott

Joel Hellewell

Katharine Sherratt

Katelyn Gostic

Joe Hickson

Hamada S. Badr

Michael DeWitt

Robin Thompson

Sophie Meakin

James Munday

Nikos Bosse

Paul Mee

Peter Ellis

Pietro Monticone

EpiForecasts

Sebastian Funk

EpiNow2: Estimate real-time case counts and time-varying epidemiological parameters

Descriptors of the behavior of an outbreak.

modeling

modeling purpose

An algorithm that models the progress of a transmissible disease in a population.

disease transmission model

Predicted value of key outbreak parameters, including (but not limited to) fatality rate, R_0, etc.

parameter estimation

Software is a plan specification composed of a series of instructions that can be interpreted by or directly executed by a processing unit.

Identifier	URL:https://epiforecasts.io/EpiNow2/index.html
Type	software
Biological Scale	population
Collection End Date
Language	English
Topics	modeling modeling purpose disease transmission model parameter estimation
Geographical Scope
Geographical Resolution
Start Date
End Date
Version	ongoing
Accessible For Free	TRUE
License	MIT License
Rights	https://epiforecasts.io/EpiNow2/LICENSE.html
HTTP Status Code	200
HTTP Checked On	2025/06/16