Saúde e epidemiologia
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.
| Método | Capability ID | Situação | É executado em |
|---|---|---|---|
| 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
- Domínios
- 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.
Situação
A metodologia, a estrutura e as definições do The Global Risks Index constituem um projeto de trabalho preparatório (2026), divulgado para revisão e comentários e não para implementação. Nenhum valor aparece até que uma edição seja publicada a partir de um corte de evidências governado; os valores passam então a ter intervalos, classes, fontes e o respectivo percurso de correção. Os simuladores executam os métodos publicados sobre números que você escolhe e nunca mostram um valor do NXS-GRX.
O que o NXS-GRX não é
O NXS-GRX é informação de pesquisa e de análise de risco. Não é rating de crédito ou ESG e não usa escala de rating, não é referência para instrumentos financeiros, não é estatística oficial, não é alerta de emergência nem classificação oficial e não é aconselhamento. Não deve ser usado para avaliar pessoas físicas. As classes de risco são faixas em uma escala publicada, nunca classificações de países ou pessoas.
Instituições e fontes
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.
Cada valor inclui a atribuição das suas fontes, que mantêm as suas próprias licenças. Os nomes externos são citados apenas para fins de interoperabilidade. Os textos de autoria da Nexus destinam-se a ser publicados sob CC BY 4.0.
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.