{"id":28702881,"url":"https://github.com/epiforecasts/ebola-expert-interviews","last_synced_at":"2025-08-02T13:10:12.344Z","repository":{"id":227509774,"uuid":"769067711","full_name":"epiforecasts/Ebola-Expert-Interviews","owner":"epiforecasts","description":"Analysis of the results from interviews with experts regarding the spatial spread of Ebola in North-Kivu (2019/20)","archived":false,"fork":false,"pushed_at":"2024-03-13T17:02:56.000Z","size":29908,"stargazers_count":0,"open_issues_count":3,"forks_count":0,"subscribers_count":3,"default_branch":"main","last_synced_at":"2025-07-25T12:45:16.832Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":null,"language":"R","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"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":null,"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":"2024-03-08T09:23:34.000Z","updated_at":"2024-03-11T12:51:15.000Z","dependencies_parsed_at":"2024-03-13T18:09:40.777Z","dependency_job_id":null,"html_url":"https://github.com/epiforecasts/Ebola-Expert-Interviews","commit_stats":null,"previous_names":["epiforecasts/ebola-expert-interviews"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/epiforecasts/Ebola-Expert-Interviews","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/epiforecasts%2FEbola-Expert-Interviews","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/epiforecasts%2FEbola-Expert-Interviews/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/epiforecasts%2FEbola-Expert-Interviews/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/epiforecasts%2FEbola-Expert-Interviews/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/epiforecasts","download_url":"https://codeload.github.com/epiforecasts/Ebola-Expert-Interviews/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/epiforecasts%2FEbola-Expert-Interviews/sbom","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":268393983,"owners_count":24243330,"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","status":"online","status_checked_at":"2025-08-02T02:00:12.353Z","response_time":74,"last_error":null,"robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":true,"can_crawl_api":true,"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":[],"created_at":"2025-06-14T13:05:48.538Z","updated_at":"2025-08-02T13:10:12.337Z","avatar_url":"https://github.com/epiforecasts.png","language":"R","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Expert elicitation\n\nData and `R` code to support the expert elicitation analysis in *Forecasting the geographic spread of Ebola Virus Disease in the Democratic Republic of the Congo during the 2018-2020 outbreak*.\n\n\n--------------------------------------------------------------------------------\n  \n### Study description\n\n  This study aims to forecast the geographic spread of the 2018-2020 Ebola Virus Disease outbreak in the DRC. The expert elicitation was conducted from December 2019 to March 2020, with a pilot study carried out in November  2019. \n  \n  We describe the experts' responses and compare these to the cases reported.\n\n--------------------------------------------------------------------------------\n  \n### Repository files\n\n  A description of each file and folder is provided below. \n  \n  \n**Sourced scripts**\n\n\n  All script names starting by `00_` denote scrips that are not to be run alone but are sourced by other scripts. \n\n* **`00_data_1.R`:** `R` script that inputs expert forecasts for November 2019 (pilot study) and outputs a .csv file with the results, stored in `Outputs`.\n\n* **`00_data_2.R`:** `R` script that inputs expert forecasts for December 2019 and outputs 2 .csv files with the results: one including  the additional health zones rated by the experts and one without, both stored in `Outputs`.\n\n* **`00_data_3.R`:** `R` script that inputs expert forecasts for January 2020 and outputs 2 .csv files with the results: one including  the additional health zones rated by the experts and one without, both stored in `Outputs`.\n\n* **`00_data_4.R`:** `R` script that inputs expert forecasts for February 2020 and outputs 2 .csv files with the results: one including  the additional health zones rated by the experts and one without, both stored in `Outputs`.\n \n* **`00_data_5.R`:** `R` script that inputs expert forecasts for March 2020 and outputs 2 .csv files with the results: one including  the additional health zones rated by the experts and one without, both stored in `Outputs`.\n\n* **`00_data_cases.R`:** `R` script that reads in cases data.\n\n* **`00_cumulative_calc.R`:** `R` script that inputs the raw data for all forecasts and outputs the cumulative data, stored in `Outputs`.\n\n* **`00_plots.R`:** `R` script that inputs .csv files generated by `01_data.R` and `02_data_cumulative.R` and cases through `00_data_cases.R`, merges the data sets and generates plots, stored in `Plots`.\n\n\n**Scripts to run**\n\n* **`01_data.R`:** `R` script that sources scripts `00_data_1.R`, `00_data_2.R`, `00_data_3.R`, `00_data_4.R`, `00_data_5.R`and outputs .csv files, stored in `Outputs`.\n\n* **`02_data_cumulative.R`:** `R` script that inputs .csv files generated by `01_data.R`, sources script `00_cumulative_calc.R` and outputs cumulative forecasts, stored as .csv files in `Outputs`. \n\n* **`02_timeline.R`:** `R` script that inputs .csv file generated by `01_data.R` and outputs a plot of the time line of expert elicitations, stored in `Plots`. \n\n* **`02_descriptive.R`:** `R` script that inputs .csv file generated by `01_data.R` and generates descriptive analysis for the results text. \n\n* **`03_plots.R`:** `R` script that sources `00_plots.R` and makes plots for each month, stored in `Plots`. \n\n\n**Folders**\n\n* **`Outputs`:** a folder containing the expert elicitation forecasts needed for analysis generated by the `R` scripts. \n    + `.csv` files entitled `results_month_year.csv` include only forecasts for the HZs rated by all experts,\n    + `.csv` files entitled `results_month_year_additional_HZ.csv` include only forecasts for the HZs rated by some experts (in response to the follow-up question \"any additional HZs with \u003e1 case with \u003e5% prob?\")\n        + `.csv` files entitled `results_month_year_cm.csv` include only the HZs rated by all experts with cumulative probabilities .\n    + `.csv` file entitled `results_all.csv` includes all `.csv` files entitled `results_month_year.csv`\n    + `.csv` file entitled `results_additional_HZ.csv` includes all `.csv` files entitled `results_month_year_additional_HZ.csv`\n\n\n* **`Plots`:** a folder to save the figures generated by the `R` scripts.\n\n\n**Project**\n\n* **`Expert-elicitation.Rproj`:** An `RStudio` project file, to avoid having to set your working directory to the folder on your computer. \n\n\n--------------------------------------------------------------------------------\n\nDownload the repository as a ZIP file using the green button *Clone or download* above, then open the .Rproj file in `RStudio` to begin. \n\nThe analysis was performed using R version 3.6.2 (2019-12-12).\n\nFor any issues with the code please contact [Alicia Roselló](https://www.lshtm.ac.uk/aboutus/people/rosello.alicia).\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fepiforecasts%2Febola-expert-interviews","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fepiforecasts%2Febola-expert-interviews","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fepiforecasts%2Febola-expert-interviews/lists"}