{"adoption": {"forks": 248, "observed_at": "2026-08-28T04:04:04.760048+00:00", "stars": 1234}, "canonical_url": "https://ross.abutalabs.com/products/covid-sim", "card": {"archived": false, "artifact_type": "application", "description": "This is the COVID-19 CovidSim microsimulation model developed by the MRC Centre for Global Infectious Disease Analysis hosted at Imperial College, London.", "domain": ["healthcare", "simulation", "data-science"], "enriched": true, "function": ["simulation", "cli", "math"], "health_score": 20, "homepage": null, "language": "C++", "license": "GPL-3.0", "license_family": "copyleft", "maturity": "maintenance", "member_repos": ["mrc-ide/covid-sim"], "name": "mrc-ide/covid-sim", "platform": ["windows", "cpp", "cli", "cross-platform"], "pushed_at": "2023-02-21T12:22:31+00:00", "repo": "mrc-ide/covid-sim", "stars": 1234, "tags": ["epidemiology", "covid-19", "microsimulation", "infectious-disease-modeling", "public-health", "openmp", "scientific-computing", "linux"], "topics": [], "urls": [], "use_cases": ["simulate covid-19 spread in a structured population", "forecast cases deaths and hospitalisations under intervention policies", "model effects of social distancing on epidemic outcomes", "model other respiratory viruses like influenza with parameter changes", "run stochastic epidemic simulations with multiple seeds"], "what_it_is": "CovidSim is a C++ microsimulation model of COVID-19 transmission developed by Imperial College London's MRC Centre for Global Infectious Disease Analysis. It simulates how intervention policies and healthcare provision affect epidemic spread to produce quantitative forecasts of cases, deaths, and hospitalisations.", "when_to_avoid": ["you need a supported, stable tool - the code is released with no support and changing interfaces", "you want a simple or small-scale model - UK runs need ~20GB RAM and some regions up to 256GB", "you need endorsed outputs - only Imperial College's own generated outputs are endorsed"], "when_to_choose": ["you need policy-relevant epidemic forecasts for COVID-19 or similar respiratory viruses", "you want a spatially and socially structured individual-level disease model", "you can provide the RAM and parameter inputs required for large-scale runs"]}, "data_as_of": "2026-08-30T08:39:29.467469+00:00", "members": [{"path": "/products/covid-sim", "repo": "mrc-ide/covid-sim", "role": "main", "score": 32}], "provenance": {"archived": {"kind": "observed", "observed_at": "2026-08-28T04:04:04.760048+00:00", "source": "github"}, "artifact_type": {"confidence": null, "enriched_at": "2026-08-30T08:22:11.285922+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "4d8755c2021ff6e799d452df235b13e9b6087a4a8672d13e4f8241657cb97740", "fetched_at": "2026-08-28T04:04:04.760048+00:00", "kind": "readme", "missing": false, "url": "https://github.com/mrc-ide/covid-sim"}], "taxonomy_version": 1}, "description": {"kind": "observed", "observed_at": "2026-08-28T04:04:04.760048+00:00", "source": "github"}, "domain": {"confidence": null, "enriched_at": "2026-08-30T08:22:11.285922+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "4d8755c2021ff6e799d452df235b13e9b6087a4a8672d13e4f8241657cb97740", "fetched_at": "2026-08-28T04:04:04.760048+00:00", "kind": "readme", "missing": false, "url": "https://github.com/mrc-ide/covid-sim"}], "taxonomy_version": 1}, "enriched": {"inputs": [], "kind": "computed", "method": "enrichment_status"}, "function": {"confidence": null, "enriched_at": "2026-08-30T08:22:11.285922+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "4d8755c2021ff6e799d452df235b13e9b6087a4a8672d13e4f8241657cb97740", "fetched_at": "2026-08-28T04:04:04.760048+00:00", "kind": "readme", "missing": false, "url": "https://github.com/mrc-ide/covid-sim"}], "taxonomy_version": 1}, "health_score": {"inputs": ["days_since_push", "days_since_release", "archived"], "kind": "computed", "method": "health_v1"}, "homepage": {"kind": "observed", "observed_at": "2026-08-28T04:04:04.760048+00:00", "source": "github"}, "language": {"kind": "observed", "observed_at": "2026-08-28T04:04:04.760048+00:00", "source": "github"}, "license": {"kind": "observed", "observed_at": "2026-08-28T04:04:04.760048+00:00", "source": "github"}, "license_family": {"inputs": ["license"], "kind": "computed", "method": "license_family"}, "maturity": {"confidence": null, "enriched_at": "2026-08-30T08:22:11.285922+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "4d8755c2021ff6e799d452df235b13e9b6087a4a8672d13e4f8241657cb97740", "fetched_at": "2026-08-28T04:04:04.760048+00:00", "kind": "readme", "missing": false, "url": "https://github.com/mrc-ide/covid-sim"}], "taxonomy_version": 1}, "member_repos": {"kind": "observed", "observed_at": "2026-08-28T04:04:04.760048+00:00", "source": "github"}, "name": {"kind": "observed", "observed_at": "2026-08-28T04:04:04.760048+00:00", "source": "github"}, "platform": {"confidence": null, "enriched_at": "2026-08-30T08:22:11.285922+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "4d8755c2021ff6e799d452df235b13e9b6087a4a8672d13e4f8241657cb97740", "fetched_at": "2026-08-28T04:04:04.760048+00:00", "kind": "readme", "missing": false, "url": "https://github.com/mrc-ide/covid-sim"}], "taxonomy_version": 1}, "pushed_at": {"kind": "observed", "observed_at": "2026-08-28T04:04:04.760048+00:00", "source": "github"}, "repo": {"kind": "observed", "observed_at": "2026-08-28T04:04:04.760048+00:00", "source": "github"}, "stars": {"kind": "observed", "observed_at": "2026-08-28T04:04:04.760048+00:00", "source": "github"}, "tags": {"confidence": null, "enriched_at": "2026-08-30T08:22:11.285922+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "4d8755c2021ff6e799d452df235b13e9b6087a4a8672d13e4f8241657cb97740", "fetched_at": "2026-08-28T04:04:04.760048+00:00", "kind": "readme", "missing": false, "url": "https://github.com/mrc-ide/covid-sim"}], "taxonomy_version": 1}, "topics": {"kind": "observed", "observed_at": "2026-08-28T04:04:04.760048+00:00", "source": "github"}, "urls": {"kind": "observed", "observed_at": "2026-08-28T04:04:04.760048+00:00", "source": "github"}, "use_cases": {"confidence": null, "enriched_at": "2026-08-30T08:22:11.285922+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "4d8755c2021ff6e799d452df235b13e9b6087a4a8672d13e4f8241657cb97740", "fetched_at": "2026-08-28T04:04:04.760048+00:00", "kind": "readme", "missing": false, "url": "https://github.com/mrc-ide/covid-sim"}], "taxonomy_version": 1}, "what_it_is": {"confidence": null, "enriched_at": "2026-08-30T08:22:11.285922+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "4d8755c2021ff6e799d452df235b13e9b6087a4a8672d13e4f8241657cb97740", "fetched_at": "2026-08-28T04:04:04.760048+00:00", "kind": "readme", "missing": false, "url": "https://github.com/mrc-ide/covid-sim"}], "taxonomy_version": 1}, "when_to_avoid": {"confidence": null, "enriched_at": "2026-08-30T08:22:11.285922+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "4d8755c2021ff6e799d452df235b13e9b6087a4a8672d13e4f8241657cb97740", "fetched_at": "2026-08-28T04:04:04.760048+00:00", "kind": "readme", "missing": false, "url": "https://github.com/mrc-ide/covid-sim"}], "taxonomy_version": 1}, "when_to_choose": {"confidence": null, "enriched_at": "2026-08-30T08:22:11.285922+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "4d8755c2021ff6e799d452df235b13e9b6087a4a8672d13e4f8241657cb97740", "fetched_at": "2026-08-28T04:04:04.760048+00:00", "kind": "readme", "missing": false, "url": "https://github.com/mrc-ide/covid-sim"}], "taxonomy_version": 1}}, "score": {"components": {"activity": 0, "longevity": 100, "rhythm": 35}, "computed_at": "2026-09-02T17:46:02.011165+00:00", "flags": ["no_releases"], "formula": "round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)", "inputs": {"age_days": 2353, "days_push": 1289, "days_rel": null, "gap_med": null, "n_releases_24m": 0}, "score": 32, "version": 2}, "staleness": {"enrichment_outdated": false, "low_confidence": false, "scrape_days": 9, "stale_scrape": false}}