{"id":28702861,"url":"https://github.com/epiforecasts/euro-hub-ensemble","last_synced_at":"2025-06-14T13:05:37.302Z","repository":{"id":42063391,"uuid":"434779787","full_name":"epiforecasts/euro-hub-ensemble","owner":"epiforecasts","description":"Analysis of ensemble methods to aggregate Covid-19 forecasts across Europe.","archived":false,"fork":false,"pushed_at":"2024-02-21T11:21:12.000Z","size":19298,"stargazers_count":7,"open_issues_count":0,"forks_count":0,"subscribers_count":3,"default_branch":"main","last_synced_at":"2025-06-14T01:58:37.115Z","etag":null,"topics":["article","covid-19","covid19-forecast-hub-europe","forecast-hub"],"latest_commit_sha":null,"homepage":"https://covid19-forecast-hub-europe.github.io/euro-hub-ensemble/2022-03-30.html","language":"TeX","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"other","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/epiforecasts.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null}},"created_at":"2021-12-04T01:34:24.000Z","updated_at":"2024-02-21T11:46:26.000Z","dependencies_parsed_at":"2024-02-19T21:42:18.180Z","dependency_job_id":null,"html_url":"https://github.com/epiforecasts/euro-hub-ensemble","commit_stats":null,"previous_names":["european-modelling-hubs/euro-hub-ensemble","epiforecasts/euro-hub-ensemble"],"tags_count":2,"template":false,"template_full_name":null,"purl":"pkg:github/epiforecasts/euro-hub-ensemble","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/epiforecasts%2Feuro-hub-ensemble","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/epiforecasts%2Feuro-hub-ensemble/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/epiforecasts%2Feuro-hub-ensemble/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/epiforecasts%2Feuro-hub-ensemble/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/epiforecasts","download_url":"https://codeload.github.com/epiforecasts/euro-hub-ensemble/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/epiforecasts%2Feuro-hub-ensemble/sbom","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":259820811,"owners_count":22916548,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["article","covid-19","covid19-forecast-hub-europe","forecast-hub"],"created_at":"2025-06-14T13:05:36.510Z","updated_at":"2025-06-14T13:05:37.289Z","avatar_url":"https://github.com/epiforecasts.png","language":"TeX","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Predictive performance of multi-model ensemble forecasts of Covid-19 across European nations\n[![DOI](https://zenodo.org/badge/434779787.svg)](https://zenodo.org/badge/latestdoi/434779787)\n\n### Project guide\n\nThis repository provides code and data for analysing COVID-19 forecasts from the [European COVID-19 Forecast Hub](https://github.com/covid19-forecast-hub-europe/covid19-forecast-hub-europe). It is associated with the paper, \"Predictive performance of multi-model ensemble forecasts of Covid-19 across European nations\" (Sherratt and others, 2023).\n\n- The paper is now published and available at [eLife](https://elifesciences.org/articles/81916) or [medRxiv](https://www.medrxiv.org/content/10.1101/2022.06.16.22276024).\n- All code is open source and anyone is welcome to freely use and adapt any part of this codebase for any purpose.\n\nYou can find here:\n\n- The latest manuscript in [pdf](output/latest.pdf) or [Rmarkdown](analysis/latest.Rmd)\n- A [modular codebase](code) for downloading and summarising data from the European Forecast Hub\n\nAll feedback is very welcome - just open an [Issue](https://github.com/covid19-forecast-hub-europe/euro-hub-ensemble/issues) with your comments. We would  especially appreciate thoughts on:\n\n- Bugs or potential improvements to code or documentation\n- Ease of use as an example for extracting, transforming, and loading Forecast Hub data (particularly from the perspective of users who are less/un-familiar with using data stored on Github)\n- Further thoughts and priorities for the analysis of COVID-19 individual and ensemble forecasts\n\n---\n\n### Workflow\n\nA brief guide to the files in this repository:\n\n- [data](data): key datasets used in this study, including evaluation scores for ensemble and individual models downloaded from the [European COVID-19 Forecast Hub repository](https://github.com/covid19-forecast-hub-europe/covid19-forecast-hub-europe)\n- [code](code#readme): data extraction, loading and transformation code used to support the main [analysis](analysis/latest.Rmd)\n - [load](code/load): functions to download forecasts and evaluation scores from the Forecast Hub Github repository\n - [summarise](code/summarise): uses the `load` functions to save key [datasets](data) and create figures and summary statistics used in the [analysis](analysis)\n- [analysis](analysis#readme): raw `rmarkdown` files, containing blended text and code to produce the `output`\n- [output](output#readme): The [latest manuscript](output/latest.pdf) and [supplement](output/supplementary.pdf), plus previous dated drafts of the text\n\nEach folder has a README with a more detailed guide to its contents.\n\n#### Code\n\nAll code is in R, tested in version 4.2.1.\n\nThe [DESCRIPTION](DESCRIPTION) lists packages used in the project. They are all available on CRAN, except `covidHubUtils`, the package used to load observed data. Install this with:\n```\nremotes::install_github(\"reichlab/covidHubUtils\")\n```\n\n\u003cdetails\u003e\u003csummary\u003eR session info\u003c/summary\u003e\n\n```\n\u003e sessionInfo()\n\nR version 4.2.1 (2022-06-23 ucrt)\nPlatform: x86_64-w64-mingw32/x64 (64-bit)\nRunning under: Windows 10 x64 (build 22000)\n\nMatrix products: default\n\nlocale:\n[1] LC_COLLATE=English_United Kingdom.utf8\n[2] LC_CTYPE=English_United Kingdom.utf8   \n[3] LC_MONETARY=English_United Kingdom.utf8\n[4] LC_NUMERIC=C                           \n[5] LC_TIME=English_United Kingdom.utf8    \n\nattached base packages:\n[1] stats     graphics  grDevices utils     datasets\n[6] methods   base     \n\nloaded via a namespace (and not attached):\n [1] bookdown_0.29   digest_0.6.29   jsonlite_1.8.0\n [4] magrittr_2.0.3  evaluate_0.16   rlang_1.0.4    \n [7] cli_3.3.0       renv_0.15.5     rstudioapi_0.13\n[10] rmarkdown_2.14  tools_4.2.1     purrr_0.3.4    \n[13] xfun_0.32       yaml_2.3.5      fastmap_1.1.0  \n[16] compiler_4.2.1  htmltools_0.5.3 knitr_1.39   \n```\n\u003c/details\u003e\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fepiforecasts%2Feuro-hub-ensemble","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fepiforecasts%2Feuro-hub-ensemble","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fepiforecasts%2Feuro-hub-ensemble/lists"}