Motivation
The existing HIV gallery example explicitly suggests PrEP as a next step. Pre-exposure prophylaxis is the dominant biomedical HIV prevention strategy globally and demonstrates intervention mechanics that are distinct from both vaccination (PrEP is continuous and reversible, not one-shot) and treatment (PrEP targets susceptible individuals, not infected ones). EpiModel is widely used for PrEP modeling in practice — a gallery example would help new users get started.
Suggested Design
Disease Model: SI with HIV Stages + PrEP Cascade
Build on the existing HIV example's stage structure (acute/chronic/AIDS) and add a PrEP cascade for susceptible individuals:
| Attribute |
States |
Description |
status |
s, i |
Susceptible or infected |
stage |
acute, chronic, AIDS |
HIV disease stage (infected only) |
prep.status |
NA, indicated, active, discontinued |
PrEP cascade state (susceptible only) |
ART.status |
NA, on, off |
ART status (infected only) |
Custom Modules
| Module |
Purpose |
infection.FUN |
S → I transmission; PrEP-active individuals have reduced susceptibility (prep.efficacy) |
progress.FUN |
HIV stage progression: acute → chronic → AIDS |
prep.FUN |
PrEP cascade: indication → uptake → adherence/discontinuation. Handles screening for PrEP eligibility, initiation, and loss to follow-up. |
treatment.FUN |
ART initiation for diagnosed HIV+ individuals |
departures.FUN |
Background + disease-specific mortality (AIDS stage) |
arrivals.FUN |
New sexually active individuals entering the population |
Parameters
| Parameter |
Description |
Suggested Value |
inf.prob.chronic |
Base per-act transmission probability (chronic stage) |
0.002 |
inf.prob.acute.mult |
Relative infectiousness during acute stage |
5–10 |
inf.prob.AIDS.mult |
Relative infectiousness during AIDS |
3 |
act.rate |
Acts per partnership per week |
2 |
prep.indication.rate |
Weekly probability an eligible susceptible is identified for PrEP |
0.01–0.05 |
prep.uptake.rate |
Weekly probability an indicated individual starts PrEP |
0.1–0.3 |
prep.efficacy |
Reduction in susceptibility while on PrEP (multiplicative) |
0.90–0.96 |
prep.discontinuation.rate |
Weekly probability of stopping PrEP |
0.005–0.02 |
prep.reinitiation.rate |
Weekly probability of restarting PrEP after discontinuation |
0.005 |
ART.initiation.rate |
Weekly probability an HIV+ individual starts ART |
0.01 |
ART.suppression.efficacy |
Reduction in infectiousness while on ART |
0.95 |
ERGM Parameterization
Model a population with heterogeneous sexual activity levels, where PrEP targeting matters:
~edges: Mean degree ~0.7
~concurrent: Moderate concurrency (characteristic of MSM networks)
~nodefactor("risk_group"): Two risk groups (high/low activity). High-risk group has higher mean degree.
~nodematch("risk_group"): Moderate assortative mixing by risk group (high-risk individuals preferentially partner with each other, but some bridging occurs)
- Dissolution ~offset(edges): Mean partnership duration ~40 weeks for main, ~10 weeks for casual
This setup makes PrEP targeting interesting: should PrEP be offered to everyone equally, or targeted to the high-risk group? The ERGM structure determines how much targeting matters.
Scenarios
- Baseline (no PrEP, no ART): Uncontrolled HIV epidemic showing acute/chronic/AIDS dynamics
- ART only: Treatment-as-prevention baseline — what ART alone achieves
- ART + untargeted PrEP: PrEP offered to all susceptibles at equal rate
- ART + targeted PrEP: PrEP preferentially offered to high-risk group (higher indication rate for high-risk)
- PrEP with high discontinuation: Same as scenario 3 but with higher discontinuation rate — demonstrate that adherence/retention is as important as coverage
Analyses
- Compare HIV incidence and prevalence across scenarios over 10+ years
- Infections averted by PrEP (relative to ART-only baseline)
- PrEP coverage over time (active PrEP users / susceptible population)
- Number needed to treat (NNT): PrEP person-years per infection averted
- Demonstrate that targeted PrEP to the high-risk group is more efficient (lower NNT) than untargeted
- Show that high discontinuation rates severely undermine PrEP effectiveness
Relationship to Existing Examples
- Direct extension of the HIV gallery example (reuses stage structure and ART module)
- Demonstrates a susceptible-side intervention (contrast with treatment-side interventions in TestAndTreatIntervention and HIV ART)
- Introduces a cascade module with multiple states (indicated → active → discontinued → reinitiated)
- Introduces risk group heterogeneity and targeted intervention (not in any current example)
Motivation
The existing HIV gallery example explicitly suggests PrEP as a next step. Pre-exposure prophylaxis is the dominant biomedical HIV prevention strategy globally and demonstrates intervention mechanics that are distinct from both vaccination (PrEP is continuous and reversible, not one-shot) and treatment (PrEP targets susceptible individuals, not infected ones). EpiModel is widely used for PrEP modeling in practice — a gallery example would help new users get started.
Suggested Design
Disease Model: SI with HIV Stages + PrEP Cascade
Build on the existing HIV example's stage structure (acute/chronic/AIDS) and add a PrEP cascade for susceptible individuals:
statusstageprep.statusART.statusCustom Modules
infection.FUNprep.efficacy)progress.FUNprep.FUNtreatment.FUNdepartures.FUNarrivals.FUNParameters
inf.prob.chronicinf.prob.acute.multinf.prob.AIDS.multact.rateprep.indication.rateprep.uptake.rateprep.efficacyprep.discontinuation.rateprep.reinitiation.rateART.initiation.rateART.suppression.efficacyERGM Parameterization
Model a population with heterogeneous sexual activity levels, where PrEP targeting matters:
~edges: Mean degree ~0.7~concurrent: Moderate concurrency (characteristic of MSM networks)~nodefactor("risk_group"): Two risk groups (high/low activity). High-risk group has higher mean degree.~nodematch("risk_group"): Moderate assortative mixing by risk group (high-risk individuals preferentially partner with each other, but some bridging occurs)This setup makes PrEP targeting interesting: should PrEP be offered to everyone equally, or targeted to the high-risk group? The ERGM structure determines how much targeting matters.
Scenarios
Analyses
Relationship to Existing Examples