Global Health & Biotech Intelligence

Provides detailed, multi-source insights on global disease outbreaks, clinical trials, drug pipelines, health systems, regulations, and biomedical research.

Capabilities

#	Capability	Input	Output
1	Disease Outbreak Surveillance	Country / pathogen / time range	Cases, R0, CFR, geographic spread, genomic variants, WHO/CDC advisories
2	Clinical Trial Intelligence	Drug / indication / phase / sponsor	Trial design, enrollment, endpoints, results, N sites, cross-referenced across CT.gov/EU-CTR
3	Drug Pipeline Analysis	Therapeutic area / mechanism / company	Phase progression, likelihood-of-approval, competitive landscape, patent expiry, market forecast
4	Health Systems Benchmarking	Countries (2-10)	Expenditure %GDP, UHC index, outcomes (LE/HALE), workforce density, hospital beds, digital maturity
5	Biomedical Literature Synthesis	Topic / PICOS query	Systematic review-style summary, strength-of-evidence grading, conflicting findings flagged
6	Regulatory & Reimbursement Landscape	Drug/device + jurisdiction	Approval pathway, HTA assessment, pricing & access, post-market surveillance requirements
7	Longevity & Aging Science Monitor	Intervention / pathway	Preclinical–clinical pipeline, mechanism-of-action, biomarker effects, safety signals
8	Digital Health & AI MedTech Radar	Category + region	Regulatory classification (SaMD), clinical evidence maturity, reimbursement status, competitive scan
9	Vaccine Development Dashboard	Pathogen / platform (mRNA/viral vector/etc)	Phase status, efficacy data, manufacturing capacity, cold-chain requirements, variant coverage
10	Health Policy Comparative Analysis	Policy area + countries	Legal framework, funding mechanism, implementation status, outcomes data, stakeholder positions

Workflow

User Query
  │
  ├─ [Step 1] Triage query → identify domain(s) from 9 disease categories + 4 analysis types
  │
  ├─ [Step 2] Execute parallel search across relevant sources:
  │   └─ Official sources (WHO GHO, CDC, NIH/FDA/EMA) for regulatory + epidemiological
  │   └─ Trial registries (CT.gov, EU-CTR) for clinical pipeline
  │   └─ Literature (PubMed, medRxiv) for evidence base
  │   └─ Analytics (IHME GBD, Our World in Data) for population-level metrics
  │
  ├─ [Step 3] Data fusion: cross-reference across sources, flag discrepancies
  │
  ├─ [Step 4] Quality assessment: GRADE framework for evidence, QC for data freshness (<30-day recency preferred)
  │
  ├─ [Step 5] Structured output generation per domain template
  │
  └─ [Step 6] Cite all sources with URLs, publish dates, and data vintage

Output Formats

Disease Outbreak Brief

Field	Content
Pathogen/Syndrome	Name, taxonomy, known variants
Epidemiological Snapshot	Cases, deaths, CFR, R0/Rt, doubling time
Geographic Distribution	Affected regions, hot zones, importation risk
Countermeasures	Vaccines (available/in-development), therapeutics, diagnostics
Public Health Measures	WHO PHEIC status, travel advisories, NPIs
Sources	URLs + retrieval dates

Drug Pipeline Matrix

Drug (Company)	Mechanism	Phase	Key Endpoints	PDUFA/Decision Date	LoA Est.	Notes
...	...	...	...	...	...	...

Health Systems Comparison Table

Indicator	Country A	Country B	Country C	OECD Avg
Health exp. %GDP
UHC Service Coverage Index
Life expectancy at birth
Physicians per 1,000
Hospital beds per 1,000
Out-of-pocket % health spend

Usage Guidelines

1. Always query multiple sources — no single database covers all needed dimensions
2. Temporal context is critical — include data vintage for all epidemiological and regulatory content
3. Non-expert accessible — translate medical terminology on first use; append glossary for complex topics
4. Risk-appropriate framing — distinguish between peer-reviewed consensus, preprints, and commercial forecasts
5. Regulatory disclaimer — this skill provides intelligence, not medical advice; include disclaimer for drug/device content
6. Multi-language capability — search and summarize across English, Chinese, Japanese, French, Spanish, German, Arabic

Examples

Example 1: Drug Pipeline Query

User: "What's the competitive landscape for GLP-1 receptor agonists beyond obesity?" Output: Table of Phase 2/3 trials for cardiovascular, NASH/MASH, kidney disease, Alzheimer's, addiction indications; partnership/collaboration map; market size projections by indication.

Example 2: Outbreak Intelligence

User: "Track the latest on H5N1 avian influenza in 2026" Output: WHO/CDC case counts, mammal spillover events, vaccine stockpile status, genomic surveillance findings, pandemic risk assessment tier.

Example 3: Health System Comparison

User: "Compare US, UK, and Singapore health systems on efficiency and outcomes" Output: Multi-indicator comparison table; spending vs. outcomes scatter analysis; key structural differences (funding model, gatekeeping, provider payment).

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Data Base: references/health_sources.json — 12 authoritative data sources, 9 disease domains, 8 health system countries, drug development phase reference data. Last Updated: June 2026 Free Tier: Available. This skill aggregates public health intelligence; no proprietary data accessed. （内容由AI生成，仅供参考）