HIV Risk Report
~PROPRIETARY BAYESIAN RISK MODELING ENGINE~
🕓 Model last updated: 12 August 2026
HIV Risk Report takes a different approach from conventional HIV risk calculators. Unlike basic calculators that output a generic "low/medium/high" label, our proprietary Bayesian risk modeling engine processes your encounter details through a multi-layered statistical framework, incorporating exposure-specific transmission probabilities, country-level epidemiological data, partner characteristics and biological modifiers, to produce a personalized numerical estimate expressed as both a percentage and a "1 in X" figure, delivered inside a comprehensive 6-page PDF analysis with a full calculation breakdown showing how your number was derived.
Proprietary Bayesian analysis using encounter-specific data. Not a generic questionnaire.
WHY THIS ISN'T JUST ANOTHER HIV CALCULATOR
Most HIV risk tools ask a few questions and return a vague label. HIV Risk Report is fundamentally different. You don't just get a number. You get a 6-page personalized analysis that walks you through the entire calculation, explains what drove your result and gives you clear next steps.
Behind the report is our proprietary engine, which uses Bayesian probability modeling. Bayesian methods are widely used across medical and epidemiological research. Our engine applies this framework to calculate a personalized transmission probability for your scenario.
The model is regularly reviewed and updated as relevant new evidence becomes available. Model assumptions, epidemiological datasets and risk modifiers are regularly reviewed against the relevant published evidence. This isn't a static lookup table. It's a living statistical system.
Our methodology sits at the intersection of established HIV science and emerging AI-assisted health analysis, allowing evidence to be applied with greater context and specificity.
How the Engine Processes Your Data
Your inputs flow through a multi-stage Bayesian pipeline. Each stage updates the probability based on a new piece of evidence.
Inside the Bayesian Risk Engine
The system processes your encounter through multiple statistical layers. Each factor is a node in the calculation pipeline.
Exposure Type
Anal, vaginal and oral exposure each carry different baseline transmission probabilities, further split by insertive vs. receptive role.
Partner Probability
Country-level prevalence, partner demographics and risk indicators construct the Bayesian prior for the encounter.
ART Cascade
Treatment coverage and viral suppression rates are modeled using country-specific data to filter transmission probability.
Protective Measures
Condom use and PrEP are applied as risk-reducing multipliers derived from clinical trial data.
Biological Modifiers
Ejaculation, mucosal integrity, circumcision status and inflammation, each calibrated against peer-reviewed evidence.
Country Epidemiology
Country-specific HIV prevalence and treatment data contextualize your estimate within the relevant epidemic profile.
Why Trust the Results?
Built on rigorous statistical methodology and peer-reviewed data.
Bayesian Statistical Framework
The same class of probabilistic reasoning used in clinical diagnostics, applied to HIV transmission modeling with encounter-specific detail.
Regularly Updated Model
Risk multipliers and data sources are regularly cross-referenced against new peer-reviewed publications. This is a living system, not a static tool.
Full Calculation Transparency
See how your number was derived. Every factor, every multiplier, every step. View our Risk Engine methodology.
Encounter-Specific Detail
No two estimates are the same. Your result reflects the unique combination of factors present in your specific scenario.
Standard HIV Calculators vs. HIV Risk Report
HIV Risk Report takes a different approach from conventional HIV risk calculators. Here's the difference between a basic questionnaire and a state-of-the-art Bayesian modeling system.
Standard Calculators
- Return vague labels: "low", "medium", "high"
- Use static lookup tables with no nuance
- Ignore country-level epidemiological context
- Don't account for partner treatment status
- No calculation transparency, just black box output
- One-size-fits-all approach
HIV Risk Report (Bayesian Engine)
- Returns a personalized percentage and 1-in-X estimate
- Proprietary Bayesian model with multi-factor analysis
- Full 6-page PDF report, not just a single number
- Incorporates country-specific prevalence and treatment data
- Accounts for ART, viral suppression and partner risk factors
- Full step-by-step calculation breakdown in your report
- Regularly reviewed and updated against peer-reviewed literature
- Every estimate is unique to your specific encounter
Proprietary Bayesian analysis. 6-page personalized report. Full calculation transparency.
HIV Risk Calculator Resources
Learn more about how our Bayesian engine works, what factors influence HIV transmission probability and how to interpret your results.
Latest Risk Engine Update
The Bayesian model is regularly reviewed and refined as new evidence, methodology improvements and report functionality evolve.
VERSION 6.7
- Evidence Audit of Risk Multipliers: All risk multipliers in the Bayesian framework were cross-referenced against the supporting peer-reviewed evidence used by the model.
- Wound and Inflammation Adjustment: The applicable modifier was fine-tuned to better reflect published meta-analytic evidence.
- Circumcision Factor Update: Circumcision logic was harmonized across relevant exposure pathways where the same biological mechanism applies.
- On-Demand PrEP Calibration: The protection assumption for on-demand PrEP was adjusted to more closely reflect the IPERGAY evidence used by the model.
- Multiple Partner Factor: The applicable partner-risk modifier was recalibrated against supporting epidemiological literature.
- Intravenous Drug Use Logic: Partner-risk handling was reorganized within the formula to improve mathematical clarity and transparency.
- Expanded Source Citations: Additional peer-reviewed sources were added directly to the report reference section.