Tenduristî û epîdemiyolojî
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.
| Rêbaz | Capability ID | Rewş | Li ser dixebite |
|---|---|---|---|
| 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
Propose a method
New methods are registered with a stable ID and a hand-derived golden test.
Rewş
Rêbaz, avahî û pênaseyên The Global Risks Index pêşnivîseke xebatê ya amadekar in (2026), ji bo nirxandin û şîroveyê tên belavkirin, ne ji bo bicîhanînê. Heta ku çapek ji birrîneke delîlan a birêvebirî neyê weşandin, tu nirx xuya nabe; piştre nirx navber, çîn, çavkanî û rêya xwe ya rastkirinê bi xwe re tînin. Simulator rêbazên weşandî li ser hejmarên ku tu hildibijêrî dixebitînin û qet nirxeke NXS-GRX nîşan nadin.
NXS-GRX çi nîne
NXS-GRX agahiya lêkolîn û analîza xetereyê ye. Ew ne nirxandina krediyê an ESG ye û tu pîvaneke pileyan bi kar nayîne, ne pîvana referansê ya amûrên darayî ye, ne statîstîkên fermî ye, ne hişyariya awarte an dabeşkirina fermî ye, û ne şîret e. Divê ji bo nirxandina kesên xwezayî neyê bikaranîn. Çînên xetereyê bendên li ser pîvaneke weşandî ne, qet ne rêzkirina welatan an mirovan in.
Sazî û çavkanî
Nexus Consortium ji aliyê sê saziyên ne-qezencî yên serbixwe ve tê parastin: Global Centre for Risk and Innovation (GCRI), bi rêya GCRI US li Waşington, DC û GCRI Canada li Ontarioyê, bi GCRI Canada wekî Saziya Pêşeng, Sekreteryaya Konsorsiyûmê û rêxistina peymanê ya pêşeng; Global Risks Forum (GRF); û Global Risks Alliance (GRA). Dabînkerên teknolojî, binesazî û xizmetê bi Konsorsiyûmê re ji dûr ve li gorî peymanên nivîskî dixebitin, wek her aliyekî din ê derve di modela giştî-taybet-gerstêrkê de, û di parastina wê de tu rola wan tune.
Her nirx navê çavkaniyên xwe bi xwe re tîne, ku lîsansên xwe diparêzin. Navên derveyî tenê ji bo hevxebitînê tên gotin. Nivîsên ku Nexus nivîsandine dema weşanê ji bo CC BY 4.0 tên armanckirin.
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.