European STI Surge Evidence Workbench

Epidemiological multi-factor counterfactual simulator comparing public health screening cuts vs dating app usage
412.5
Projected Cases / 100k
Public Health Cuts
Dominant Counterfactual Driver
52%
Driver Contribution Share
1.84
Estimated Effective R₀
Model Insight: Public health budget reductions and extended testing intervals explain 76% of projected regional variance, while dating app adoption changes account for 14%. STATE: VALIDATED
Transmission Risk Network D3 Force Simulation
Susceptible
Infected / Undetected
Diagnosed
Treated
Historical & Projected Incidence Cases / 100k population
Regional Factor Decomposition & Counterfactual Evidence Matrix

Attribution breakdown derived from counterfactual epidemiological multivariate sensitivity analysis.

Region Baseline Rate Health Cuts Contribution Testing Interval Contribution App Adoption Contribution Resistance Contribution Provisional Factor Share
Enjoy this tool? Build your own with Super