EpiEstim

A tool to estimate time varying instantaneous reproduction number during epidemics

https://github.com/mrc-ide/epiestim

Science Score: 67.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • CITATION.cff file
  • codemeta.json file
    Found codemeta.json file
  • .zenodo.json file
    Found .zenodo.json file
  • DOI references
    Found 15 DOI reference(s) in README
  • Academic publication links
    Links to: plos.org, zenodo.org
  • Committers with academic emails
    6 of 16 committers (37.5%) from academic institutions
  • Institutional organization owner
    Organization mrc-ide has institutional domain (www.imperial.ac.uk)
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (12.2%) to scientific vocabulary

Keywords from Contributors

probability-distributions epidemiology epiverse parallel best-practices latex
Last synced: 6 months ago · JSON representation

Repository

A tool to estimate time varying instantaneous reproduction number during epidemics

Basic Info
Statistics
  • Stars: 99
  • Watchers: 15
  • Forks: 41
  • Open Issues: 48
  • Releases: 5
Created over 10 years ago · Last pushed 9 months ago
Metadata Files
Readme Changelog

README.md

EpiEstim

R-CMD-check Codecov test coverage DOI <!-- badges: end -->

EpiEstim is a tool to estimate the time-varying instantaneous reproduction number during epidemics. To install the latest version, use: r install.packages('EpiEstim', repos = c('https://mrc-ide.r-universe.dev', 'https://cloud.r-project.org'))

Vignettes

Please see https://mrc-ide.github.io/EpiEstim/ for vignettes with worked examples, FAQs and details about how EpiEstim can be used alongside some other R packages in an outbreak analysis workflow.

Cite our papers

Anne Cori, Neil M. Ferguson, Christophe Fraser, Simon Cauchemez, A New Framework and Software to Estimate Time-Varying Reproduction Numbers During Epidemics, American Journal of Epidemiology, Volume 178, Issue 9, 1 November 2013, Pages 1505–1512.

console @article{Cori2013, author={Cori, A and Ferguson, NM and Fraser, C and Cauchemez, S}, year={2013}, title={{A New Framework and Software to Estimate Time-Varying Reproduction Numbers During Epidemics}}, journal={Am. J. Epidemiol.}, doi={10.1093/aje/kwt133}, }

Thompson RN, Stockwin JE, van Gaalen RD, Polonsky JA, Kamvar ZN, Demarsh PA, et al. Improved inference of time-varying reproduction numbers during infectious disease outbreaks, Epidemics, Volume 29, 1 December 2019, 100356.

Nash RK, Nouvellet P, Cori A. Real-time estimation of the epidemic reproduction number: Scoping review of the applications and challenges, PLOS Digital Health, Volume 1, Issue 6, 27 June 2022, e0000052.

Bhatia S, Wardle J, Nash RK, Nouvellet P, Cori A. Extending EpiEstim to estimate the transmission advantage of pathogen variants in real-time: SARS-CoV-2 as a case-study, Epidemics, 21 June 2023, 100692.

Nash RK, Cori A, Nouvellet P. Estimating the epidemic reproduction number from temporally aggregated incidence data: a statistical modelling approach and software tool, PLOS Computational Biology, Volume 19, Issue 8, 28 August 2023, e1011439.

Brizzi A, O'Driscoll M, Dorigatti I., Refining Reproduction Number Estimates to Account for Unobserved Generations of Infection in Emerging Epidemics, Clinical Infectious Diseases, Volume 75, Issue 1, 1 July 2022, Pages e114–e121.

Citing this code resource

We kindly request that you cite this codebase as follows (BibTeX format):

console @misc{Cori2022, author={Cori, A and Kamvar, ZN and Stockwin, J and Jombart, T and Dahlqwist, E and FitzJohn, R and Thompson, R and Nash, RK and Wardle, J and Bhatia, S}, year={2022}, title={{EpiEstim v2.2-4: A tool to estimate time varying instantaneous reproduction number during epidemics}}, publisher={GitHub}, journal={GitHub repository}, howpublished = {\url{https://github.com/mrc-ide/EpiEstim}}, }

Owner

  • Name: MRC Centre for Global Infectious Disease Analysis
  • Login: mrc-ide
  • Kind: organization
  • Location: London, UK

MRC Centre hosted within the Department of Infectious Disease Epidemiology at Imperial College London

GitHub Events

Total
  • Issues event: 3
  • Watch event: 3
  • Delete event: 2
  • Issue comment event: 7
  • Push event: 11
  • Pull request review event: 2
  • Pull request event: 6
  • Fork event: 1
  • Create event: 4
Last Year
  • Issues event: 3
  • Watch event: 3
  • Delete event: 2
  • Issue comment event: 7
  • Push event: 11
  • Pull request review event: 2
  • Pull request event: 6
  • Fork event: 1
  • Create event: 4

Committers

Last synced: 10 months ago

All Time
  • Total Commits: 524
  • Total Committers: 16
  • Avg Commits per committer: 32.75
  • Development Distribution Score (DDS): 0.538
Past Year
  • Commits: 27
  • Committers: 3
  • Avg Commits per committer: 9.0
  • Development Distribution Score (DDS): 0.519
Top Committers
Name Email Commits
Anne Cori a****i@i****k 242
rebeccanash r****h@i****k 93
Zhian N. Kamvar z****r@g****m 38
abriz97 a****i@l****t 36
Jake Stockwin j****n@g****m 25
sangeeta s****3@g****m 25
Hugo Gruson B****o 22
Thibaut Jombart t****t@g****m 16
Jack Wardle j****9@i****k 13
Rich FitzJohn r****n@i****k 5
Tim Pollington t****n@g****m 3
Pietro Monticone 3****e 2
ElisabethDahlqwist e****t@h****m 1
Ewout ter Hoeven E****n@s****l 1
Anne Cori a****i@W****l 1
Robin Thompson r****n@l****k 1
Committer Domains (Top 20 + Academic)

Issues and Pull Requests

Last synced: 6 months ago

All Time
  • Total issues: 65
  • Total pull requests: 52
  • Average time to close issues: 4 months
  • Average time to close pull requests: about 1 month
  • Total issue authors: 33
  • Total pull request authors: 14
  • Average comments per issue: 1.35
  • Average comments per pull request: 1.42
  • Merged pull requests: 46
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 3
  • Pull requests: 4
  • Average time to close issues: about 2 hours
  • Average time to close pull requests: about 2 months
  • Issue authors: 3
  • Pull request authors: 4
  • Average comments per issue: 1.67
  • Average comments per pull request: 0.75
  • Merged pull requests: 2
  • Bot issues: 0
  • Bot pull requests: 0
Top Authors
Issue Authors
  • annecori (11)
  • sangeetabhatia03 (9)
  • zkamvar (6)
  • thibautjombart (6)
  • robchallen (2)
  • abriz97 (2)
  • jstockwin (2)
  • pnouvellet (2)
  • adamkucharski (1)
  • steffilazerte (1)
  • tamas-ferenci (1)
  • BGalindo-Prieto (1)
  • arnold-c (1)
  • t-pollington (1)
  • seabbs (1)
Pull Request Authors
  • annecori (12)
  • zkamvar (8)
  • sangeetabhatia03 (7)
  • rebeccanash (5)
  • jstockwin (4)
  • Bisaloo (4)
  • richfitz (4)
  • pitmonticone (2)
  • j-wardle (2)
  • abriz97 (2)
  • thibautjombart (2)
  • seabbs (2)
  • EwoutH (1)
  • t-pollington (1)
Top Labels
Issue Labels
enhancement (6) bug (3) priority (1)
Pull Request Labels
enhancement (1)

Packages

  • Total packages: 1
  • Total downloads:
    • cran 1,273 last-month
  • Total docker downloads: 21,770
  • Total dependent packages: 7
  • Total dependent repositories: 21
  • Total versions: 9
  • Total maintainers: 1
cran.r-project.org: EpiEstim

Estimate Time Varying Reproduction Numbers from Epidemic Curves

  • Versions: 9
  • Dependent Packages: 7
  • Dependent Repositories: 21
  • Downloads: 1,273 Last month
  • Docker Downloads: 21,770
Rankings
Docker downloads count: 0.6%
Forks count: 2.0%
Stargazers count: 4.2%
Average: 5.4%
Dependent repos count: 6.0%
Dependent packages count: 7.3%
Downloads: 12.4%
Maintainers (1)
Last synced: 7 months ago

Dependencies

DESCRIPTION cran
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