Ebola hemorrhagic fever
Enable an AI agent to recognise Ebola hemorrhagic fever, assess the evidence and course of a disease occurrence, and identify actions requiring clinical or public-health authority.
Research draft, second pass
A second pass drafted this model: the structure a model of this thing needs, and what is known about it in the world. The line under this one says how the second half was obtained - researched against sources, or recalled without web access, in which case nothing here was read anywhere and every claim is a lead to verify. Unreviewed either way.
Researched by: Codex
Bundle → Layer → Finding → Questions Filled
7 bundles · 13 layers · 21 findings · 33 questions
Disease identity and boundaries Resolve what the historical registry label denotes.
Historical and current terminology
Preserve the source's intended meaning when normalising names.
Historical name scope
Determine the registry label's extension without requiring bleeding or silently restricting it to one virus.
- Does the originating registry source use Ebola hemorrhagic fever for all human Ebola diseases or a particular virus-specific disease? definition
- Which dated authority supports the mapping between the historical name and current terminology? provenance
Classification and instance boundaries
Separate concept mappings from assertions about individual disease occurrences.
Versioned codes and assertions
Attach classification editions and mapping precision while keeping diagnosis and care episodes distinct.
- Which ICD-10, ICD-11, and SNOMED CT concepts match this scope, in which releases or national editions, and with what mapping precision? provenance
- How is one disease occurrence linked to changing diagnostic assertions and multiple care episodes without becoming identical to any of them? boundary
Causation and exposure Connect disease attribution to viral and epidemiological evidence.
Viral attribution
Represent the causative agent at the resolution supported by evidence.
Supported agent identification
Distinguish laboratory-supported identification from attribution inferred from an outbreak.
- Which virus is supported by the available test evidence, and what identification resolution does the assay permit? measurement
- Is attribution established for this occurrence or inferred from an epidemiologically linked outbreak? provenance
Exposure compatibility
Record plausible exposure routes and their temporal uncertainty.
Exposure route and timing
Evaluate contact circumstances without treating location or association as proof of infection.
- What contact with a potentially infectious person, body, animal, fluid, or contaminated material is documented, and by whom? provenance
- What exposure interval and symptom-onset uncertainty must be evaluated against the applicable incubation guidance? measurement
Recognition and diagnostic evidence Support case assessment without confusing screening with confirmation.
Case definition and differential
Make case status traceable to an issuing authority and competing explanations.
Case classification basis
Record satisfied, missing, and contradictory criteria separately from alternative diagnoses.
- Which issuing body, jurisdiction, outbreak context, and revision define the assigned suspected, probable, or confirmed status? provenance
- What evidence distinguishes Ebola from Marburg disease, malaria, and other plausible causes, while allowing co-infection? boundary
Test interpretation
Interpret results in relation to specimen, assay, and illness timing.
Confirmation and exclusion evidence
Require an explicit evidential basis for confirmation, exclusion, or continued uncertainty.
- What were the assay target, specimen type, collection time relative to onset, result, and laboratory interpretation? measurement
- Under the applicable diagnostic protocol, is this evidence sufficient for classification or does it require further assessment or repeat testing? action
Clinical course and outcomes Track acute disease and its outcome without imposing a mandatory symptom sequence.
Acute progression
Track manifestations, physiological changes, and deterioration.
Severity over time
Represent gastrointestinal losses, hydration, circulation, bleeding, and organ dysfunction as dated observations.
- When did symptoms begin, and how have fluid losses, circulatory status, bleeding, and organ function changed? measurement
- Which observations meet a referenced protocol's escalation criteria, and who must assess them? action
Recovery and persistence
Separate acute outcomes from follow-up findings and possible recurrence.
Post-acute state boundaries
Maintain distinct assertions for recovery, persistent symptoms, viral detection, and suspected recurrent disease.
- What evidence supports recovery, death, persistent symptoms, or possible recurrent disease, and when was that outcome assessed? measurement
- Which findings belong to acute Ebola, a linked sequela, viral persistence, or an unrelated condition, and what remains unresolved? boundary
Care and transmission response Identify applicable care and infection-prevention decisions.
Clinical intervention applicability
Link care needs to supported intervention pathways.
Virus and population matched care
Require current evidence and eligibility review for proposed disease-specific interventions.
- Which supportive-care needs require attention under the applicable Ebola care guidance? action
- Does the proposed therapeutic or vaccine pathway apply to this virus, age group, pregnancy status, jurisdiction, and date, and is its use approved or investigational? boundary
Infection prevention and notification
Link case assessment to authorised protective and reporting processes.
Response triggers and release
Represent protocol-based response triggers and distinguish discharge from clearance of every transmission concern.
- Which current protocol governs notification, isolation assessment, specimen referral, contact evaluation, and management after death? action
- What authority and evidence support changing precautions or follow-up, including any compartment-specific persistence concern? provenance
Population patterns and evidence Contextualise disease burden and the limits of generalisation.
Burden and denominators
Make epidemiological measurements comparable only where their definitions permit.
Contextualised burden estimates
Preserve the population, period, geography, case categories, and completeness behind each estimate.
- What population, location, year or outbreak interval, case definition, and reporting date support the count or rate? measurement
- Are suspected cases, unresolved outcomes, under-ascertainment, and denominator uncertainty handled explicitly in incidence, prevalence, or case-fatality estimates? measurement
Affected populations and transferability
Assess whether evidence applies across exposure groups and clinical populations.
Population-specific evidence limits
Distinguish measured subgroup differences from assumptions based on a different outbreak or setting.
- Which populations are represented in evidence about occupational exposure, caregiving, childhood disease, pregnancy, and survivor outcomes? provenance
- Which conclusions cannot be transferred across viruses, outbreaks, populations, or levels of care without additional evidence? boundary
Evidence and external alignment What the world already says about this thing, gathered so the model can be checked against it.
Reported evidence
Findings from the breadth pass, kept separate from the structural claims.
Check these first
Recalled without web access and unsourced; every item is a lead to verify.
- Which of these check these first hold for the sense of Ebola hemorrhagic fever this model covers, and on what evidence? provenance
Kinds and varieties
Recalled without web access and unsourced; every item is a lead to verify.
- Which of these kinds and varieties hold for the sense of Ebola hemorrhagic fever this model covers, and on what evidence? provenance
Identifiers and schemes
Recalled without web access and unsourced; every item is a lead to verify.
- Which of these identifiers and schemes hold for the sense of Ebola hemorrhagic fever this model covers, and on what evidence? provenance
Standards and regulation
Recalled without web access and unsourced; every item is a lead to verify.
- Which of these standards and regulation hold for the sense of Ebola hemorrhagic fever this model covers, and on what evidence? provenance
Real-world use
Recalled without web access and unsourced; every item is a lead to verify.
- Which of these real-world use hold for the sense of Ebola hemorrhagic fever this model covers, and on what evidence? provenance
Typical measurements
Recalled without web access and unsourced; every item is a lead to verify.
- Which of these typical measurements hold for the sense of Ebola hemorrhagic fever this model covers, and on what evidence? provenance
Failure modes and hazards
Recalled without web access and unsourced; every item is a lead to verify.
- Which of these failure modes and hazards hold for the sense of Ebola hemorrhagic fever this model covers, and on what evidence? provenance
Regional variation
Recalled without web access and unsourced; every item is a lead to verify.
- Which of these regional variation hold for the sense of Ebola hemorrhagic fever this model covers, and on what evidence? provenance
Neighbouring kinds and how to tell them apart
Recalled without web access and unsourced; every item is a lead to verify.
- Which of these neighbouring kinds and how to tell them apart hold for the sense of Ebola hemorrhagic fever this model covers, and on what evidence? provenance
Classifiers Filled
- Family
- Thing Registry
- Category
- Cross-cutting context
- Entry kind
- thing
- Plane
- XCT
- Domain
- XCT.QLT
What it is Filled
Ebola hemorrhagic fever is a historical name for Ebola disease, a severe infectious illness caused by certain viruses of the genus Ebolavirus that can cause systemic inflammation, gastrointestinal fluid loss, shock and organ dysfunction, with bleeding occurring in some but not all patients.
In scope
- Historical naming, current disease terminology, and versioned classification mappings
- Causative virus attribution and exposure evidence
- Case classification, laboratory evidence, and differential diagnosis
- Clinical course, severity, recovery, and disease-related persistence
- Disease-specific constraints on care, infection prevention, and public-health response
- Population burden with geographic, temporal, and case-definition context
Out of scope
- The patient's complete health record and identity
- Hospital visits, admissions, staffing, and billing
- Virus taxonomy, genomes, and laboratory propagation as independent models
- Outbreak logistics and contact-tracing operations as independent processes
- Vaccine and therapeutic product manufacturing or full prescribing specifications
- Independent models of Marburg disease, malaria, and other differential diagnoses
Why it exists Filled
Enable an AI agent to recognise Ebola hemorrhagic fever, assess the evidence and course of a disease occurrence, and identify actions requiring clinical or public-health authority.
Distinguishing features Filled
- Require compatible evidence of an Ebola-causing virus to distinguish confirmed disease from clinically similar infections; symptoms alone cannot establish the cause. [WHO Ebola questions and answers](https://www.who.int/news-room/questions-and-answers/item/ebola-disease)
- Do not require hemorrhage: bleeding is less frequent and may occur later, despite the historical name. [WHO Ebola fact sheet](https://www.who.int/news-room/fact-sheets/detail/ebola-disease)
- Record whether a source means Ebola disease broadly or Ebola virus disease specifically; current WHO terminology distinguishes Ebola virus, Sudan virus, and Bundibugyo virus diseases. [WHO Ebola fact sheet](https://www.who.int/news-room/fact-sheets/detail/ebola-disease)
- Distinguish an exposed contact from a disease occurrence, and a suspected case from a laboratory-confirmed case.
- Distinguish acute disease, post-acute symptoms, and evidence of viral persistence rather than assigning them one undifferentiated state.
What robots and AI may and may not do Derived, awaiting review
Must not
- Require compatible evidence of an Ebola-causing virus to distinguish confirmed disease from clinically similar infections; symptoms alone cannot establish the cause. [WHO Ebola questions and answers](https://www.who.int/news-room/questions-and-answers/item/ebola-disease)
- Appearance alone cannot establish the disease, which requires assessment of exposure history and appropriate laboratory evidence.
Only with a human decision
- This draft models vr.tr.ebola-hemorrhagic-fever in XCT/XCT.STA as the human disease concept historically called Ebola hemorrhagic fever, provisionally covering Ebola diseases while recording the causative virus explicitly; it separates the condition from diagnostic assertions, patients, and episodes of care.
May
- Resolve historical terminology against a versioned disease classification while preserving uncertain mappings.
- Assess whether available evidence satisfies a named case definition and identify missing evidence.
- Summarise disease progression and flag observations requiring clinician review under an applicable protocol.
- Identify relevant infection-prevention and notification pathways for review by responsible authorities.
- Check whether a proposed treatment or vaccination pathway matches the attributed virus, population, jurisdiction, and guidance date.
- Compare burden estimates only after aligning case definitions, populations, periods, and outcome completeness.
Note: Affordances listed as what may be done; prohibitions collected from the text.
Moral aspects Derived, awaiting review
- The historical term Ebola hemorrhagic fever appears in clinical records, outbreak reports and public-health surveillance.
Owners Missing, in the backlog
Not described yet. This gap is in the card backlog.
Links to other meta-models Filled
parent
- Q162272 - registry parent class
- Q18975835 - registry parent class
- Q215509 - registry parent class
What else AI and robots need to interact with it Filled
Identity and identifiers required Filled
- Vercy registry: vr.tr.ebola-hemorrhagic-fever
- Wikidata: Q51993 (https://www.wikidata.org/wiki/Q51993)
Direct properties not applicable Not applicable
- Disease-name interpretation: Historical umbrella term; virus-specific disease term; unresolved
- Causative virus attribution: Named virus linked to laboratory evidence and taxonomy version; undetermined
- Case classification: Authority-defined suspected, probable, confirmed, excluded, or unresolved status with definition version and assessment date
- Exposure-to-onset interval: Days or bounded interval, with uncertainty in exposure and onset dates
- Laboratory evidence: Test record with method, viral target, specimen type, collection time, result, and interpretation authority
- Clinical course: Acute illness; convalescence; resolved acute illness; possible recurrence; fatal outcome; unresolved
- Hemorrhagic manifestations: Present with site and onset; absent on assessment; not assessed
- Physiological severity: Timestamped clinical observations and laboratory measurements with native units and referenced assessment criteria
- Persistence evidence: Anatomical compartment, specimen, assay, date, result, and interpretation
- Population burden: Cases, incidence per stated population and period, prevalence if appropriate, or case-fatality proportion with numerator and denominator
Plane XCT: no invented physical properties.
Recognition optional Filled
- Visible severe illness, vomiting or diarrhea can accompany Ebola disease but do not distinguish it reliably from other infections.
- Bleeding may occur but is neither necessary for the diagnosis nor specific to this disease.
- Appearance alone cannot establish the disease, which requires assessment of exposure history and appropriate laboratory evidence.
Capabilities and actions required Filled
- Resolve historical terminology against a versioned disease classification while preserving uncertain mappings.
- Assess whether available evidence satisfies a named case definition and identify missing evidence.
- Summarise disease progression and flag observations requiring clinician review under an applicable protocol.
- Identify relevant infection-prevention and notification pathways for review by responsible authorities.
- Check whether a proposed treatment or vaccination pathway matches the attributed virus, population, jurisdiction, and guidance date.
- Compare burden estimates only after aligning case definitions, populations, periods, and outcome completeness.
Hazards and failure modes required Filled
- Severe fluid loss and systemic illness can progress to shock, organ failure and death.
- Contact with infectious blood or other body fluids can expose caregivers and others to infection.
- Delayed recognition can postpone appropriate care and public-health measures.
- Treating bleeding as a required feature can cause cases without bleeding to be missed.
Standards and interfaces required Filled
- The World Health Organization's ICD-10 classifies Ebola virus disease under code A98.4.
Context of use required Filled
- The historical term Ebola hemorrhagic fever appears in clinical records, outbreak reports and public-health surveillance.
- It refers to a severe infectious disease whose assessment and management require clinical and public-health expertise.
Sources Filled
- Wikidata item Q51993: Ebola hemorrhagic fever - identity and sense of the item
- Wikipedia: Ebola - general description of the item
Open questions
- Does the originating registry intend the historical umbrella sense or the narrower current Ebola virus disease sense, and does an existing world model already own that concept?
- What exact ICD-10, ICD-11, and SNOMED CT mappings are valid for the resolved scope, with editions, releases, and mapping limitations?
- Which current jurisdictional case definitions, diagnostic protocols, and precaution-release criteria should anchor operational assessments?
- Which virus-specific therapies and vaccines are currently supported or authorised for relevant populations, and where is evidence limited to investigational use?
- Which population datasets can support comparable burden and survivor-outcome estimates, and where do ascertainment or follow-up gaps prevent reliable conclusions?
Machine files
Provenance
thing registry research (pass 2) · unreviewed
Built from: models/things/publications/thing-q51993/spec.json