{"id":13992195,"url":"https://github.com/DataForScience/Epidemiology101","last_synced_at":"2025-07-22T15:31:32.989Z","repository":{"id":99730732,"uuid":"249688544","full_name":"DataForScience/Epidemiology101","owner":"DataForScience","description":"Epidemic Modeling for Everyone","archived":false,"fork":false,"pushed_at":"2025-04-14T15:51:33.000Z","size":187492,"stargazers_count":282,"open_issues_count":0,"forks_count":77,"subscribers_count":20,"default_branch":"master","last_synced_at":"2025-04-14T16:50:31.134Z","etag":null,"topics":["blog","covid-19","epidemiology","medium","modeling","python"],"latest_commit_sha":null,"homepage":"https://medium.data4sci.com/","language":"Jupyter Notebook","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/DataForScience.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,"publiccode":null,"codemeta":null}},"created_at":"2020-03-24T11:20:43.000Z","updated_at":"2025-04-14T15:51:39.000Z","dependencies_parsed_at":"2024-11-29T12:42:35.096Z","dependency_job_id":null,"html_url":"https://github.com/DataForScience/Epidemiology101","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/DataForScience/Epidemiology101","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/DataForScience%2FEpidemiology101","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/DataForScience%2FEpidemiology101/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/DataForScience%2FEpidemiology101/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/DataForScience%2FEpidemiology101/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/DataForScience","download_url":"https://codeload.github.com/DataForScience/Epidemiology101/tar.gz/refs/heads/master","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/DataForScience%2FEpidemiology101/sbom","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":266520695,"owners_count":23942320,"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":"2025-07-22T02:00:09.085Z","response_time":66,"last_error":null,"robots_txt_status":null,"robots_txt_updated_at":null,"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":["blog","covid-19","epidemiology","medium","modeling","python"],"created_at":"2024-08-09T14:01:51.909Z","updated_at":"2025-07-22T15:31:27.975Z","avatar_url":"https://github.com/DataForScience.png","language":"Jupyter Notebook","readme":"[![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/DataForScience/Epidemiology101/master)\n\n# Epidemic Modeling for Everyone\n\n![Multipopulation model](https://raw.githubusercontent.com/DataForScience/Epidemiology101/master/SEIIRD_model_season.png)\n\nRepository to accompany the blog series: __Epidemic Modeling__\n\nThese blog posts were recently featured in the [Data Exchange Podcast](https://thedataexchange.media/) by [Ben Lorica](https://twitter.com/bigdata) in two episodes: \n\n- [Computational Models and Simulations of Epidemic Infectious Diseases](https://thedataexchange.media/computational-models-and-simulations-of-epidemic-infectious-diseases/)\n\t\n- [Assessing Models and Simulations of Epidemic Infectious Diseases](https://thedataexchange.media/assessing-models-and-simulations-of-epidemic-infectious-diseases/)\n\n## Background Information\n\n1. [CoVID-19: Everything you need to know](https://data4sci.substack.com/p/covid-19-everything-you-need-to-know)\n\n2. [CoVID-19: The first truly global event](https://data4sci.substack.com/p/covid-19-the-first-truly-global-event)\n\n## Visualization\n\n1. [Epidemiology001.ipynb](https://github.com/DataForScience/Epidemiology101/blob/master/Epidemiology001.ipynb) - [Visualizing the spread of CoVID-19](https://data4sci.substack.com/p/visualizing-the-spread-of-covid-19) \n\n2. [Epidemiology002.ipynb](https://github.com/DataForScience/Epidemiology101/blob/master/Epidemiology002.ipynb) - [Visualizing individual CoVID-19 patient data](https://data4sci.substack.com/p/covid-19-visualizing-individual-patient) \n\n3. [Epidemiology003.ipynb](https://github.com/DataForScience/Epidemiology101/blob/master/Epidemiology003.ipynb) - [CoVID-19: Forecasting the death toll](https://data4sci.substack.com/p/covid-19-forecasting-the-death-toll) \n\n## Compartmental Models\n\n1. [Epidemiology101.ipynb](https://github.com/DataForScience/Epidemiology101/blob/master/Epidemiology101.ipynb) - [Epidemic Modeling 101: Or why your CoVID19 exponential fits are wrong](https://data4sci.substack.com/p/epidemic-modeling-101-or-why-your)\n\n2. [Epidemiology102.ipynb](https://github.com/DataForScience/Epidemiology101/blob/master/Epidemiology102.ipynb) - [Epidemic Modeling 102: All CoVID-19 models are wrong, but some are useful](https://data4sci.substack.com/p/all-covid-19-models-are-wrong-but) \n\n3. [Epidemiology103.ipynb](https://github.com/DataForScience/Epidemiology101/blob/master/Epidemiology103.ipynb) - [Epidemic Modeling 103: Adding confidence intervals and stochastic effects to your CoVID-19 Models](https://data4sci.substack.com/p/adding-confidence-intervals-and-stochastic) \n\n4. [Epidemiology104.ipynb](https://github.com/DataForScience/Epidemiology101/blob/master/Epidemiology104.ipynb) - [Epidemic Modeling 104: Impact of Seasonal effects on CoVID-19](https://data4sci.substack.com/p/impact-of-seasonal-effects-on-covid)\n\n5. [Epidemiology105.ipynb](https://github.com/DataForScience/Epidemiology101/blob/master/Epidemiology105.ipynb) - [Epidemic Modeling 105: Competing CoVID-19 Strains](https://data4sci.substack.com/p/competing-covid-19-strains) \n\n# Network models\n\n1. [Epidemiology 201.ipynb](https://github.com/DataForScience/Epidemiology101/blob/master/Epidemiology201.ipynb) - [Epidemiology 201: Network Structure, Super-spreaders and Contact Tracing](https://data4sci.substack.com/p/network-structure-super-spreaders)\n\n2. [Epidemiology 202.ipynb](https://github.com/DataForScience/Epidemiology101/blob/master/Epidemiology202.ipynb) - [Epidemiology 202: Network Models, the effect of degree correlations](https://data4sci.substack.com/p/network-models)\n\n# Advanced Models\n\n1. [Epidemiology 301.ipynb](https://github.com/DataForScience/Epidemiology101/blob/master/Epidemiology301.ipynb) - [Epidemiology 301: How to model the effects of vaccination](https://data4sci.substack.com/p/how-to-model-the-effects-of-vaccination)\n\n2. [Epidemiology 302.ipynb](https://github.com/DataForScience/Epidemiology101/blob/master/Epidemiology302.ipynb) - [Epidemiology 302: The Impact of Age Structure on Epidemic Spreading\n](https://data4sci.substack.com/p/the-impact-of-age-structure-on-epidemic)\n\n3. [Epidemiology 303.ipynb](https://github.com/DataForScience/Epidemiology101/blob/master/Epidemiology303.ipynb) - [Epidemiology 303: Metapopulation Models](https://data4sci.substack.com/p/meta-population-models)\n\n# Resources\n\n- Jupyter notebook includes all the code used to generate the figures in the blog posts. Run the code online using  [![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/DataForScience/Epidemiology101/master)\n\n\nBe kept put to date on all things Machine Learning and Data Science right in your mail box. 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