Apparent Reported Surge
+48.2%
Surveillance case notifications
True Latent Infection Surge
+27.6%
Actual community transmission
Surveillance Artifact Share
42.7%
Portion driven by diagnostic bias
Effective Reproduction (Rt)
1.28
Super-critical spread (> 1.0)
36-Month Longitudinal Transmission & Ascertainment Curve
Contrasting reported diagnostic cases against true latent reservoir dynamics
Reported Surveillance Notifications
True Latent Infections (Modelled)
Ascertainment Detection Gap
Expert Hypothesis Decomposition (The Economist Public Health Debate)
Sexual health experts disagree on which mechanism dominates the observed surge across European centers. Select a hypothesis below to isolate its causal impact:
1. Behavioral & Network Shifts
Drop in barrier protection following PrEP rollouts coupled with digital app network acceleration.
2. Testing Ascertainment Bias
Multiplex PCR expansion & targeted postal screening detecting previously unseen mild or asymptomatic cases.
3. Treatment Failure & AMR
Ceftriaxone-resistant gonococcal strains and macrolide resistance causing prolonged infectiousness windows.
4. Clinic Defunding & Bottlenecks
Austerity cuts to free walk-in clinics causing delayed treatment and lengthened transmission chains.
Primary Driver: Partner concurrency & reduced barrier use with diagnostic ascertainment multiplier
Current European simulation indicates that 42.7% of the headline +48.2% notification surge is an ascertainment artifact stemming from enhanced screening frequency (1.45x) and contact tracing. However, a true community transmission surge of +27.6% persists with an effective reproductive number of Rt = 1.28, driven by dense network concurrency and barrier relaxation.
Reported Surge: 48.2%
True Latent Surge: 27.6%
Artifact Attribution: 42.7%
Reproduction Rate (Rt): 1.28
Dominant Causal Driver: Partner concurrency & reduced barrier use with diagnostic ascertainment multiplier