Health and epidemiology
Methods for health, one-health on the Julia and Python and r compute planes.
25 capabilities
9 of 25 have a bound kernel or engine. States are shown as the registry records them; a request fails closed wherever an adapter, specialist model or governed data is still missing.
| Method | Capability ID | State | Runs on |
|---|---|---|---|
| SIR Epidemiology | risk.capability.health-epidemiology.sir.epidemiology.v1 |
Reference implementation | Python · epidemiology.sir_step |
| SEIR Epidemiology | risk.capability.health-epidemiology.seir.epidemiology.v1 |
Reference implementation | Python · epidemiology.seir_rk4 |
| Stochastic Epidemic | risk.capability.health-epidemiology.stochastic.epidemic.v1 |
Specialist model required | – |
| Rt Estimation | risk.capability.health-epidemiology.rt.estimation.v1 |
Specialist model required | Python · epidemiology.renewal_rt |
| Health Nowcasting | risk.capability.health-epidemiology.health.nowcasting.v1 |
Specialist model required | – |
| Outbreak Detection | risk.capability.health-epidemiology.outbreak.detection.v1 |
Specialist model required | Python · epidemiology.ears_aberration |
| Syndromic Surveillance | risk.capability.health-epidemiology.syndromic.surveillance.v1 |
Specialist model required | Python · epidemiology.ears_aberration |
| Spatial Epidemic | risk.capability.health-epidemiology.spatial.epidemic.v1 |
Specialist model required | – |
| Hospital Capacity | risk.capability.health-epidemiology.hospital.capacity.v1 |
Specialist model required | Python · health.hospital_capacity |
| ICU Demand | risk.capability.health-epidemiology.icu.demand.v1 |
Specialist model required | Python · health.bed_occupancy_convolution |
| Health Workforce | risk.capability.health-epidemiology.health.workforce.v1 |
Specialist model required | – |
| Pharmaceutical Supply | risk.capability.health-epidemiology.pharmaceutical.supply.v1 |
Specialist model required | – |
| Health Access | risk.capability.health-epidemiology.health.access.v1 |
Specialist model required | – |
| Excess Mortality | risk.capability.health-epidemiology.excess.mortality.v1 |
Specialist model required | – |
| Heat Health | risk.capability.health-epidemiology.heat.health.v1 |
Specialist model required | – |
| Air Pollution Burden | risk.capability.health-epidemiology.air.pollution.burden.v1 |
Specialist model required | – |
| Waterborne Disease | risk.capability.health-epidemiology.waterborne.disease.v1 |
Specialist model required | – |
| Vector Borne Disease | risk.capability.health-epidemiology.vector.borne.disease.v1 |
Specialist model required | – |
| Foodborne Disease | risk.capability.health-epidemiology.foodborne.disease.v1 |
Specialist model required | – |
| Health System Resilience | risk.capability.health-epidemiology.health.system.resilience.v1 |
Specialist model required | – |
| Health Supply Chain | risk.capability.health-epidemiology.health.supply.chain.v1 |
Specialist model required | – |
| Pandemic Scenario | risk.capability.health-epidemiology.pandemic.scenario.v1 |
Specialist model required | Python · epidemiology.sir_final_size |
| Zoonotic Spillover Support | risk.capability.health-epidemiology.zoonotic.spillover.support.v1 |
Specialist model required | – |
| One Health Nexus | risk.capability.health-epidemiology.one.health.nexus.v1 |
Specialist model required | – |
| Epidemic Growth Rate | risk.capability.health-epidemiology.epidemic.growth.rate.v1 |
Specialist model required | Python · epidemiology.growth_rate_reproduction_number |
Methods, data and supports
- Method families
- scientific simulation, Bayesian inference, state space, time series, spatial statistics, change detection
- Domains
- health, one-health
- Compute planes
- Julia, Python, r
- Source classes
- public-health, surveillance, hospital, environment, supply-chain
- Spatial supports
- facility, admin, grid
- Temporal supports
- daily, weekly, forecast, scenario
Status
The methodology, structure and definitions of The Global Risks Index are a preparatory working draft (2026), circulated for review and comment and not for implementation. No value appears until an edition is released from a governed evidence cut; values then carry intervals, classes, sources and their correction pathway. Simulators run the published methods on numbers you choose and never show a NXS-GRX value.
Wat NXS-GRX nie is nie
NXS-GRX is navorsings- en risiko-analise-inligting. Dit is nie 'n krediet- of ESG-gradering nie en gebruik geen graderingskaal nie, nie 'n maatstaf vir finansiële instrumente nie, nie amptelike statistiek nie, nie 'n noodwaarskuwing of amptelike klassifikasie nie, en nie advies nie. Dit mag nie gebruik word om natuurlike persone te evalueer nie. Risikoklasse is bande op 'n gepubliseerde skaal, nooit ranglyste van lande of mense nie.
Instellings en bronne
The Nexus Consortium is stewarded by three independent not-for-profit institutions: The Global Centre for Risk and Innovation (GCRI), through GCRI US in Washington, DC and GCRI Canada in Ontario, with GCRI Canada as Lead Institution, Consortium Secretariat and lead contracting organisation; The Global Risks Forum (GRF); and The Global Risks Alliance (GRA). Technology, infrastructure and service providers work with the Consortium at arm’s length under written agreements, like every other external party in the public-private-planet model, and hold no role in its stewardship.
Every value carries the attribution of its sources, which keep their own licences. External names are cited for interoperability only. Nexus-authored text is intended for CC BY 4.0 on release.
Avis en français
La méthodologie et les définitions du NXS-GRX sont un projet de travail préparatoire (2026). Le NXS-GRX est une information de recherche et d’analyse des risques : ni notation, ni indice de référence financier, ni statistique officielle, ni alerte, ni conseil. Les classes de risque sont des bandes sur une échelle publiée, non des classements.