Scenario PlanningBioR · Health Security
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Biosurveillance

Mass-Gathering Outbreak — Genomic Intelligence Under Pressure

An outbreak emerges during an international mass gathering of millions.

High severity

Duration

150 min

Injects

5

Audience

Mass-gathering health command, genomic surveillance, border health, international liaison

Situation

During an international mass gathering drawing millions of participants from 180+ countries, sentinel and wastewater surveillance detect a rising respiratory signal. Genomic sequencing identifies a variant of a known pathogen with possible immune-escape features. Participants will disperse globally within days, turning a local signal into a seeding event.

Exercise objectives

  • Test real-time genomic and wastewater surveillance as an outbreak early-warning system at scale.
  • Exercise the compression of the detect-to-decide window when participants disperse within days.
  • Evaluate international data-sharing and coordinated notification.
  • Rehearse decisions that balance the event, participant welfare and global seeding risk.

Capability stress

How hard this scenario tests each of the 10 benchmark dimensions (1–5).

Foresight lens

Preparednessknown reference class

Getting ready for a threat that HAS a reference class — one that resembles something we have seen (COVID, influenza, known AMR). Plans, playbooks and drills work because the past is a guide.

TUNA profile

Turbulence
Dominant
Uncertainty
Strong
Novelty
Present
Ambiguity
Present

Assumptions this scenario windtunnelsfull register →

A1Surveillance will detect the next threat early enough to act on it.

Sensitivity: high · TUNA: N · U

A3Communities will comply with public-health measures as they did before.

Sensitivity: medium · TUNA: U · A

Scenario parameters

Illustrative planning figures for discussion — not operational data.

Population at risk

Millions of participants, 180+ countries of origin

Surveillance modalities

Sentinel clinics, wastewater sites, genomic sequencing

Pathogen

Variant of known respiratory pathogen, possible immune escape

Dispersal window

Days — global seeding on departure

Baseline genomic coverage

Partial — a core surveillance gap

Roles at the table

Mass-Gathering Health Commander

Owns event-level health decisions and escalation.

Genomic Surveillance Lead

Runs sequencing, variant characterisation and turnaround.

Wastewater/Environmental Lead

Interprets population-level signals ahead of clinical cases.

Border & Departure Health Lead

Manages measures for departing participants.

International Liaison

Coordinates notification and data-sharing with origin countries.

Inject timeline

  1. Hour 0Wastewater rise

    Multiple wastewater sites show a sharp rise in a respiratory pathogen signal.

  2. Hour 12Clinical confirmation

    Sentinel clinics confirm rising cases; samples sent for urgent sequencing.

  3. Hour 30Variant call

    Sequencing identifies a variant with mutations of concern for immune escape.

  4. Hour 48Departure begins

    Scheduled mass departures begin; global dispersal is now underway.

  5. Hour 60Origin-country query

    Two origin countries request data and guidance for returning participants.

Decision points

D1With a genomic result and departures already starting, what measures do you take at departure — and are they proportionate?

  • The narrow window between a variant call and mass dispersal.
  • Proportionality, feasibility and participant welfare.
  • What you can realistically operationalise in hours, not weeks.

D2How much do you share internationally, how fast, and through what channel?

  • Speed and transparency vs. the risk of acting on preliminary data.
  • Pre-agreed data-sharing agreements and formats.
  • Reputational and economic sensitivities of the host and origin countries.

Response playbook

Early warning

  • Integrate wastewater + sentinel + genomic signals
  • Accelerate sequencing turnaround
  • Pre-position sampling capacity
  • Set variant escalation thresholds

Characterise & decide

  • Confirm variant significance
  • Assess dispersal risk
  • Choose proportionate departure measures
  • Brief international partners

Coordinate globally

  • Notify origin countries
  • Share sequences to public databases
  • Support returning-participant guidance
  • Sustain post-event surveillance

After-action questions

  • Did your sequencing turnaround beat the departure clock? If not, what would close the gap?
  • Which surveillance modality gave you the earliest usable signal?
  • Were international data-sharing agreements ready, or negotiated mid-crisis?

National benchmark references

Real national strategies from the Global Pandemic Preparedness Benchmark that inform this scenario.