HIV Risk Report
Clearer context while you wait. A better path toward testing.
Stop the endless Googling and put your HIV risk into perspective while you wait to test with our private, personalized assessment tool.
Last updated: 27 August 2026
Waiting for an HIV test or window period to pass can mean days or weeks of uncertainty, endless Googling, symptom checking and worst-case thinking. HIV Risk Report is a private, paid, educational 6-page report designed to help put that uncertainty into perspective. Tell us what actually happened and the Risk Engine estimates the statistical HIV risk from your specific encounter, explains which factors mattered, and shows the result as a percentage and a clear "1 in X" figure. Your report also calculates testing dates based on your encounter date, HIV test type and the relevant window period. Testing provides the definitive answer. Our goal is to help you feel more informed, more prepared and, if fear has been holding you back, more ready to take that next step and test.
Confidential assessment
Not a generic risk label
Window periods + dates
From uncertainty to perspective
Your personalized report is generated in under 30 minutes.
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Tell us what happened: Confidentially enter the details of your encounter, including the factors that can actually affect HIV risk.
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Turn the unknown into a number: The Risk Engine combines your details with transmission, prevalence and treatment data to calculate an estimate, giving you something more grounded than another round of searching online.
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Know when to test: Your encounter date is used to calculate a personalized testing timetable across different HIV test types and their window periods, including RNA, fourth-generation lab and antibody-based testing.
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Take the next step: Understanding the numbers can help make the situation feel more manageable and help you feel more prepared to test, especially if fear or uncertainty has been making you avoid it.
Why trust the estimate
Reassurance only helps when there is something real behind it.
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Evidence-based: Built from peer-reviewed HIV transmission research and calibrated using real-world epidemiological data.
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Transparent calculation: See our calculation logic , including the factors that can increase or reduce the final estimate.
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Built around your situation: Estimates account for the country and encounter details you provide instead of assuming every exposure carries the same risk.
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Perspective, not promises: We do not tell you that you are HIV negative. Only testing can do that. We give you a grounded statistical estimate, a testing timetable and clear next steps to help you understand what happened and move forward.
A different question than the CDC Risk Estimator
The CDC Risk Estimator is designed to show the risk of a single sexual act when one partner has HIV and the other does not, and how factors such as condoms, PrEP, treatment and viral suppression can change that risk. HIV Risk Report starts from a different situation: you may not know your partner's HIV status, and you want to understand the statistical context around your specific encounter.
CDC Estimate the HIV Risk
Educational per-act estimator
The question it answers "If one partner has HIV and the other does not, how does this sexual act compare, and how do selected risk or protective factors change it?"
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Start with different HIV statuses.
The estimator models a discordant partnership: one partner has HIV and the other does not. -
Choose a single sexual activity.
Select the act and role to view the published per-act transmission estimate. -
Add selected factors.
Explore how condoms, PrEP, ART with undetectable viral load, acute HIV or another STI can change that per-act estimate.
HIV Risk Report
Personalized encounter model
The question we help put into perspective "I don't know whether my partner had HIV. Based on the details I know about this encounter, what does the available evidence suggest about my modeled statistical risk?"
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Estimate the partner HIV starting likelihood.
The model begins with relevant population and country-level prevalence data, then applies the partner information you provide where appropriate. -
Account for treatment and viral suppression.
Where partner treatment status is unknown, the model uses applicable population-level treatment and viral-suppression assumptions rather than treating every person with HIV as equally likely to transmit. -
Apply your encounter details.
Sexual activity, role, condoms, PrEP, ejaculation, tissue conditions and other relevant inputs are incorporated into the modeled estimate. -
Put the result into perspective and know when to test.
The report presents the modeled estimate as a percentage and a clear 1 in X figure, explains what affected it, and gives testing dates based on your encounter.
CDC comparison based on the CDC HIV Risk Reduction Tool's current "Estimate the HIV Risk" description and methodology. CDC data are independent public-health sources and do not endorse HIV Risk Report.
Stop searching the same questions. Understand the numbers, know when to test, and take the next step with more perspective.
Version updates
We continue refining the Risk Engine so the numbers behind each
report are as useful and grounded as possible.
Methodology and data sources
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For deeper education, read our
HIV risk calculator guide
and browse our
blog
.
VERSION 6.7
- Evidence Audit of All Multipliers: Every risk multiplier in the calculation engine has been cross-referenced against peer-reviewed studies. This is a calibration-level update. If you received a report on a previous version, your overall risk category and conclusion remain valid. These are small precision improvements, not major changes to the model.
- Wound/Inflammation Adjustment: Fine-tuned to better match meta-analytic data (Boily et al., 2009). This only affects reports where wounds were present and no condom was used.
- Circumcision Factor Harmonised: The circumcision adjustment for anal sex has been brought in line with the vaginal value, since the biological mechanism is identical and no separate clinical trial justifies a different number. For most users, this slightly lowers the multiplier that was previously applied.
- On-Demand PrEP Precision: Adjusted from 98% to 97% protection to more precisely reflect the IPERGAY open-label extension data. A tiny shift.
- Multiple Partners Factor: Nudged upward slightly to match a 2012 meta-analysis (Mishra et al.) more closely.
- Intravenous Drug Use Logic: Already accounted for in previous versions. We have simply moved where in the formula it is applied, partner prevalence rather than per-act risk, for mathematical clarity. The end result is nearly identical.
- Expanded Source Citations: The report now cites additional peer-reviewed sources including Weller and Davis-Beaty (2002), the three circumcision RCTs, the PARTNER1/PARTNER2 trials, and the IPERGAY trial directly in the references section.
VERSION 6.6
- Number-Linked Risk Summaries: Improved the main analysis sections so the written explanation is tied directly to the actual numbers in the report. Version 6.6 now guides the summary to explain the partner HIV estimate, per-act transmission risk, and each relevant upward or downward modifier in the same order they appear in the calculation. This makes the report easier to follow because users can see how the narrative, calculation table, and final risk estimate all connect.
- Cleaner Intake Flow: Reorganised the required exposure questions into a clearer numbered sequence and made the exposure date an explicit required field, which is essential for PEP eligibility and testing-date calculations. Version 6.6 also clarifies answer options for uncertain fields such as intravenous drug use and multiple recent partners, helping the report collect cleaner inputs before any risk calculation is generated.
- Clearer Final Risk Equation: Added a single master equation showing how the final HIV risk is calculated from the adjusted partner HIV likelihood, base transmission risk, and each applicable modifier. The previous version already included these factors across the Partner HIV Estimate, modifier list, and Calculation Breakdown table, but Version 6.6 makes the full calculation chain explicit and easier to audit.
- Cleaner Calculation Breakdown Table: Fixed the table logic so intravenous drug use is treated as its own calculation factor rather than being grouped under the ejaculation condition. This makes the final risk table more accurate, easier to audit, and better aligned with the actual formula used in the report.
- Clearer ART Cascade Explanation: Made the ART section easier to understand in cases where the partner's HIV status or treatment status is unknown. Version 6.6 more clearly shows how the report uses real-world treatment cascade data, including diagnosis rates, ART coverage, viral suppression, unsuppressed probability, and the safety buffer, to calculate the ART multiplier used in the final risk estimate.
- More Structured Testing Guidance: Tightened the testing section by requiring RNA, fourth-generation lab, and antibody-based tests to appear as separate cards, each with a test type, description, and calculated date. Version 6.6 also makes the testing-date logic explicit, using 14 days for RNA testing, 28 days for fourth-generation lab testing, and 90 days for antibody-based testing.
- Sharper PEP Decision Tree: Expanded the PEP instructions into clearer scenario-based guidance. Version 6.6 now separates users who are within the 72-hour window, near the end of the window, outside the window, or already strongly protected by correctly taken PrEP. This helps the report provide more specific next-step guidance instead of relying on a generic PEP paragraph.
- Stronger Final HTML Quality Checks: Consolidated the final-output rules into a clearer pre-render checklist. Version 6.6 more explicitly checks for unresolved placeholders, leftover template syntax, markdown formatting, asterisk characters, duplicate sections, calculation mismatches, and PDF export issues before the report is generated.
- More Enforceable Card Layout Rules: Strengthened the existing card-based design requirements by defining exactly how key sections should be structured. Version 6.6 now requires named Step Two analysis cards, separate testing cards with test type, description, and date, a two-column What Helped and What Hurt card, a structured ART cascade table, and more polished card treatment for the perspective, Real Talk, and Your Path Forward sections.
VERSION 6.5
- Card-Based UI Architecture: Transitioned key report sections, including Step Two analysis paragraphs and Testing Options, into distinct, self-contained cards to improve readability and information retention.
- Visual Risk Indicators: Implemented clear visual cues, including check marks for protective factors and cross icons for risk factors, in the "What Helped vs. What Hurt" section for faster scanning.
- Enhanced Data Presentation: Restructured the HIV Risk Cascade formula into a detailed table for transparency, and modernised the "Path Forward" section with iconography to emphasise actionable next steps.
VERSION 6.4
- Sex Worker Risk Model Update: Refined how sex work is incorporated into partner prevalence estimates, using region-specific multipliers that are more conservative and more realistic.
- Improved Key Population Handling: Prevents over-inflation when a key population baseline is already being used, for example MSM, reducing double counting while still accounting for increased exposure risk.
- Stability and Trust: Added caps and dampening logic to keep outputs within credible real-world ranges, improving consistency across regions.
VERSION 6.3
- Report Design: Re-designed the entire report for a more modern look and feel.
- Geo-Specific Accuracy: The risk engine's analysis is now more precise by explaining how country-specific data, including HIV prevalence and healthcare system effectiveness, is used to calibrate the final probability.
VERSION 6.2
- RNA Testing: Report now includes suggested dates for RNA testing based on the encounter date.
VERSION 6.1
- Transparency Update: The FAQ section now includes a full breakdown of the HIV Treatment Cascade equation, showing exactly how we calculate risk for partners with an unknown ART status.
- Empowerment Update: Reports now conclude with a "Path Forward" section, reframing the experience from anxiety to agency and highlighting the knowledge the user has gained.
VERSION 6.0
- Major Update I: Refined the sex worker risk multiplier with region-aware logic based on UNAIDS prevalence data.
- Major Update II: Integrated PrEP, Pre-Exposure Prophylaxis, logic into the risk calculation.
- The model now accounts for user adherence with specific pathways for perfect daily use, on-demand dosing (2-1-1), missed doses, and recent initiation.
- Each adherence level is mapped to a clinically backed risk reduction multiplier, for example up to 99% for perfect use.
VERSION 5.6
- Patched linguistic ambiguity in the risk modifier output.
VERSION 5.5
- Enhanced tissue integrity modelling for transmission probability.
- Corrected HIV prevalence data streams for MSM versus general population.
VERSION 5.4
- Implemented an ART logic override: the template now automatically uses the more realistic "Don't Know" ART calculation if the partner's overall HIV status is "Don't Know", even if "No" was selected for the ART question.
- Updated circumcision logic: the upward risk multiplier for being uncircumcised now only applies if a condom was not used.
VERSION 5.3
- The protective benefit of "no ejaculation" is now correctly applied only to receptive partners. Previously this required a manual QA change.
VERSION 5.2
- Report now includes a "Comparison to Other STIs" section showing relative likelihoods versus HIV.
VERSION 5.1
- Added test timing calculator based on the user's exposure date.
- Shows personalised lab and oral test dates to avoid false negatives.
VERSION 5.0
- ART coverage logic improved, now factoring in three country-level statistics, diagnosis rate, treatment access, and viral suppression, to give a more realistic picture of how many people are actually suppressed.
- Sex worker risk logic revised, adjusted to be more conservative while still accounting for higher exposure rates due to occupational partner turnover.
- Multiple partners logic refined, risk estimates now better reflect the increased exposure likelihood when a partner has had two or more partners in the past six months.
VERSION 4.9
- ART coverage now splits by population: MSM versus general public.
- Improves accuracy by reflecting real-world disparities in ART access for MSM.
VERSION 4.8
- Expanded risk pathway logic to account for instances where the user is not circumcised.
VERSION 4.6 & 4.7
- Wound and inflammation risk now included, increasing transmission estimates if the user had open cuts, sores, or irritation during sex, only applied when no condom was used.
- Step Two now clearly explains how wound-based risk affects overall probability, using plain language.
- The full breakdown of probability logic now includes a clearer explanation of how the partner's HIV estimate and act-specific transmission risk combine to calculate final odds.
VERSION 4.5
- PEP guidance now adapts to risk tier, clarifying when it is typically not recommended but still available for high-anxiety or anal sex cases.
- New "What If It Was Anal?" FAQ added for users who select "multiple sex types" without specifying the act.
- "What We Recommend" section rewritten for sharper tone, emotional clarity, and faster readability.
VERSION 4.4
- Real-world ART logic now applies regional treatment coverage rates when ART status is unknown.
- Expanded risk pathway logic to include role-specific, insertive versus receptive, modifiers.
- MSM-specific prevalence now replaces general population prevalence for male-male encounters.
VERSION 4.0
- Introduced emotional reinforcement and alternate scenarios to reduce panic.
- Added personalised risk recommendations based on calculated probability.
- Cleaned up visual flow for mobile-first readability.
VERSION 3.0
- Transitioned to per-act risk modelling using fraction and percentage logic.
- Integrated global gender-stratified HIV prevalence estimates.
- Upgraded condom effectiveness to reflect real-world meta-analytic data.
- Introduced transparent breakdown of all conditional inputs in Step Three.
Assessment