{"id":19629689,"url":"https://github.com/vjcitn/teachcoviddata","last_synced_at":"2026-07-16T06:34:14.799Z","repository":{"id":70649500,"uuid":"547817377","full_name":"vjcitn/teachCovidData","owner":"vjcitn","description":"R package for getting familiar with COVID-19 data resources and their use","archived":false,"fork":false,"pushed_at":"2023-01-07T14:05:52.000Z","size":21712,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":2,"default_branch":"main","last_synced_at":"2025-01-09T13:47:21.407Z","etag":null,"topics":["covid-19","data-science"],"latest_commit_sha":null,"homepage":"https://vjcitn.github.io/teachCovidData","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/vjcitn.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,"publiccode":null,"codemeta":null}},"created_at":"2022-10-08T10:55:05.000Z","updated_at":"2022-10-08T12:14:53.000Z","dependencies_parsed_at":"2023-04-06T13:31:44.425Z","dependency_job_id":null,"html_url":"https://github.com/vjcitn/teachCovidData","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/vjcitn%2FteachCovidData","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/vjcitn%2FteachCovidData/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/vjcitn%2FteachCovidData/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/vjcitn%2FteachCovidData/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/vjcitn","download_url":"https://codeload.github.com/vjcitn/teachCovidData/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":240934300,"owners_count":19880990,"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":["covid-19","data-science"],"created_at":"2024-11-11T11:59:35.457Z","updated_at":"2025-10-15T07:51:02.942Z","avatar_url":"https://github.com/vjcitn.png","language":"R","funding_links":[],"categories":[],"sub_categories":[],"readme":"# teachCovidData\n\nThis R package for getting familiar with COVID-19 data resources and their use was\ninspired by work of Dr. Latrice Landry related to the \n[NIH Covid Community Engagement Alliance (CEAL)](https://covid19community.nih.gov/).\n\nLearning objectives\n\n- get comfortable with acquiring and exploring public datasets using R\n- look specifically at temporal and geographic variations in impacts of COVID\n- produce questions and projects related to COVID effects and responses\n\nA concept map of a full course:\n\n![COVID-19 data science concept map](man/figures/covidcoggle.jpg)\n\nImportant topics are not addressed, but comments and pull requests are welcome;\nsee the [issues tracker](https://github.com/vjcitn/teachCovidData/issues).\nIt would be very nice to have modules on\n\n- environmental measures of population load, such as [wastewater monitoring results](https://data.cdc.gov/Public-Health-Surveillance/NWSS-Public-SARS-CoV-2-Wastewater-Metric-Data/2ew6-ywp6)\n- studies of [host genetics](https://www.covid19hg.org/partners/) of susceptibility to disease and complications\n    - example [case-control analysis](https://www.jci.org/articles/view/152386/figure/2)\n    - [critical remarks and schema for predictive genomic medicine](https://www.jci.org/articles/view/155011/figure/1)\n- mobility metrics related to incidence variation (google's [historical data](https://www.google.com/covid19/mobility/), [example analysis](https://www.science.org/doi/10.1126/science.abb4218))\n- types and effects of non-pharmacologic interventions ([CDC link](https://www.cdc.gov/nonpharmaceutical-interventions/index.html))\n- [vaccination mandates](https://data.cdc.gov/Policy-Surveillance/State-Level-Vaccine-Mandates-All/kw6u-z8u2)\n- incidence of [vaccination-related adverse events](https://www.cdc.gov/coronavirus/2019-ncov/vaccines/safety/adverse-events.html)\n- elaborations of elements on data publication and education in international contexts ([2021 overview](https://royalsocietypublishing.org/doi/pdf/10.1098/rsta.2021.0127), speculations on [data from China](https://www.science.org/content/article/china-flying-blind-pandemic-rages), [WHO overview](https://www.who.int/emergencies/diseases/novel-coronavirus-2019))\n\nSee the \"get started\" link on the vjcitn.github.io/teachCovidData site for current details.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fvjcitn%2Fteachcoviddata","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fvjcitn%2Fteachcoviddata","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fvjcitn%2Fteachcoviddata/lists"}