Dynamic compartmental model (DCM) plus cost-effectiveness analysis.
Configure scenario context, epidemiological parameters and policy effects,
then run the simulation to obtain total cost, QALYs, deaths and ICER.
Dynamic CEA · DCM
Step 1 · Scenario context
Population, horizon & economic inputs
Cohort size, time horizon, discount rate and AMR burden setting.
Burden presets only pre-fill incidence values in the next step;
you can still override them manually.
Hospital catchment, country or model cohort.
Simulation length; costs and QALYs are aggregated over this horizon.
Applied to both costs and QALYs (typical: 3% per year).
Used only to classify policies as cost-effective vs. not.
Pre-fills incidence and resistant CFRs in the epidemiology step.
Tip: configure context and burden first, then move to incidence and CFR settings.
Step 2 · Epidemiology
Incidence, clinical course & utilities
Specify baseline infection burden and clinical parameters. Burden presets set
starting values which you can still fine-tune.
Infection incidence (per 100k population / year)
Example: 6 ≈ 6 cases per 100k population per year.
Higher in high-burden countries; can be >5 / 100k.
Clinical course (LOS & mortality)
Average LOS for susceptible BSI (e.g. 7–10 days).
Longer LOS for resistant infections (e.g. 20–30 days).
Case fatality among susceptible infections.
Case fatality among resistant infections (often 25–50%).
Costs & utilities
Total direct medical cost for one susceptible infection.
Higher due to ICU, longer LOS and last-line drugs.
General population HRQoL (0.85–0.95 typical).
Persistent sequelae after severe infection.
Short-term disutility during susceptible BSI.
Lower HRQoL for severe resistant sepsis.
Step 3 · Policies
Define AMR policies
Each policy modifies antibiotic pressure and adds an annual programme cost.
The underlying dynamic model remains identical; only parameters change.
Used for labelling the scenario in the results panel.
30%
Applies to κR, αC and αI in the DCM.
Annual fixed cost for implementing the policy.
Policy presets
Click to load commonly discussed AMR strategies. You can still adjust
values afterwards.
Results · Scenario outputs
Ready to simulate. Configure context, epidemiology and policy, then run.
Status: idle
Status quo
Total cost–
Total QALYs–
Total deaths–
Total infections–
Baseline with no additional policy.
Policy
Total cost–
Total QALYs–
Total deaths–
Total infections–
Includes reduced antibiotic pressure and programme cost.
Incremental (policy – status quo)
Δ Cost–
Δ QALY–
ICER–
Deaths avoided–
No cost difference yet
Once you run a scenario, this panel will explain whether the policy is
dominant, cost-effective or not under the selected WTP
threshold. Deaths avoided come directly from the dynamic compartmental model.
Literature & parameter support
Unsure about parameters? Use the search box to query Google Scholar or PubMed for
incidence, CFRs or hospital cost estimates.