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Declassified Scientific Analysis

Cartographic &
Epidemiological Atlas

10 publication-quality scientific figures with real cartographic projections, epidemiological models, particle simulations, and interactive data exploration of the Atlantic Storm exercise.

10
Figures
6
Cities Targeted
3,320
Peak Cases
11
World Leaders
Jan 14
2005
Figure 01

Orthographic Globe — Attack Site Overview

Interactive rotating orthographic projection showing the geographic distribution of the six attack sites across the trans-Atlantic region. Drag to rotate; red pulses indicate active bioterror release locations.

Attack site
Preparation facility
Great-circle route
Figure 1. Orthographic globe projection centered on the North Atlantic, showing the six simultaneous Variola major aerosol release sites and the Salzburg preparation facility. Great-circle arcs illustrate minimum-distance pathways between sites. Auto-rotates; drag to explore. Projection: Orthographic (D3.js). Base map: Natural Earth 110m.
Smith et al., Biosecurity & Bioterrorism 3(3):256-267, 2005 | PMC1369238
Figure 02

Detailed Attack Vector Map — Trans-Atlantic Theater

High-resolution Natural Earth projection of the primary attack theater. Proportional symbols encode estimated initial exposure populations. Animated vectors trace the preparation-to-target logistics chain from the Austrian brewery facility.

Primary release site
Prep facility (Salzburg)
Attack logistics
Exposure radius
Figure 2. Trans-Atlantic attack theater with proportional symbols (\u221A area \u221D exposed population). Six cities: Istanbul (Grand Bazaar, 12K), Frankfurt (Airport, 15K), Rotterdam (Metro, 8K), Warsaw (Central Station, 6.5K), New York (Penn Station, 20K), Los Angeles (LAX, 18K). Dashed arcs from Salzburg prep site. Grid: 10\u00B0. Projection: Natural Earth I.
Center for Biosecurity/UPMC scenario documents; JHU Gazette Jan 24, 2005
Figure 03

Pathogen Particle Dispersal Simulation

Real-time canvas particle simulation modeling the airborne dispersal of Variola major aerosol from each attack site. Particle density represents relative exposure risk; trails follow prevailing wind patterns. Uses requestAnimationFrame for smooth 60fps rendering.

Particle Simulation
0 particles
Variola major aerosol dispersal
Canvas 2D | 60fps | Additive blending
Figure 3. Stochastic particle dispersal simulation for aerosolized Variola major at six release sites. Each frame spawns particles at attack coordinates, advected by simplified wind field (westerlies) with Brownian diffusion. Particle opacity decays over lifetime (~300 frames). Additive blending creates density-dependent glow. Not epidemiologically calibrated; illustrative of aerosol threat geometry.
Visualization technique; epidemiological context from Henderson et al., JAMA 281(22), 1999
Figure 04

Epidemic Propagation — Animated Geographic Timeline

Interactive timeline showing the hour-by-hour escalation from 51 to 3,320 confirmed cases during the exercise. Circle radius scales with sqrt(cases); color intensity encodes severity. Transmission arcs activate as the epidemic crosses borders.

T+0: Pre-attack (0 cases)
Figure 4. Geographic epidemic curve: T+0 (eve, 0 cases) \u2192 T+1 (09:00 EST, 51) \u2192 T+2 (11:00, 956) \u2192 T+3 (14:00, 3,320) \u2192 T+4 (60-day projection, ~450K). Circle radius \u221D \u221A(cases). Arc width \u221D inter-city transmission volume. Exercise participants described outcome as "very conservative."
NBC News Jan 14, 2005; EMBO Reports 7(1), PMC1369238, 2006
Figure 05

Global Vaccine Stockpile — Choropleth Analysis

World choropleth mapping national smallpox vaccine reserves as percentage of population coverage. Reveals the stark divide between prepared and unprepared nations. Hover for country-specific data.

COVERAGE %:
100%
50-99
15-49
5-14
1-4
<1
No data
Figure 5. Choropleth of smallpox vaccine reserves c. 2005. Full coverage: USA, UK, France, Germany, Netherlands, Israel, Singapore, Czech Republic. Partial: Russia (~60%), Switzerland (~50%), Belgium/Denmark/Norway (~25-30%), Canada/Japan (~20%). Critical gaps: Spain (8%), Italy/Sweden (10%), Poland (5%), Greece (3%), Turkey (1%). WHO reserve: 35M doses in Geneva.
WHO WHA58/A58_9 (2005); CIDRAP Jun 2005; US HHS pledge Oct 2005
Figure 06

Vaccine Stockpile Inequality — Animated Bar Analysis

Horizontal bar chart with animated reveal showing the enormous disparity in national preparedness. Bars color-coded by coverage tier. Population context shown alongside coverage percentage.

Figure 6. Vaccine coverage by nation as revealed during the exercise. The 100x disparity between top-tier (USA at 100%) and bottom-tier (Turkey at 1%) nations became the central political crisis of the simulation. Poland's 5% coverage drove cross-border tensions when citizens surged toward fully-vaccinated Germany.
JHU Gazette Jan 24, 2005; Anne Applebaum, Washington Post Jan 19, 2005
Figure 07

Institutional Power Network — Force-Directed Graph

Interactive force-directed network revealing the institutional topology: participants, countries, organizers, sponsors, and critics. Node radius encodes influence; link color encodes relationship type. Drag nodes to explore clusters.

Head of State
Country/Int'l Org
Organizer
Sponsor
Critic
Funding
Critique
Figure 7. Power-network topology. Central hub: Center for Biosecurity (UPMC) connects to all participant nodes via recruitment links. Sloan Foundation ($44.1M) is the primary financial node. Milton Leitenberg (U-MD) appears as isolated critic with single connection to the exercise organizers. Visualization: D3.js force simulation with collision detection.
Exercise after-action report; Johns Hopkins Center for Health Security archives
Figure 08

Crisis Decision Tree — Branching Scenario Outcomes

Hierarchical visualization of the key decision points faced by leaders during the exercise. Each branch represents a policy choice (ring vs. mass vaccination, share vs. hoard, open vs. close borders) with projected consequences. Red paths indicate choices actually made.

Figure 8. Decision tree of the three critical policy dilemmas: (1) Vaccination strategy: ring containment vs. mass vaccination, (2) Resource sharing: international cooperation vs. national hoarding, (3) Border policy: open movement vs. military closure. Red-highlighted paths show actual exercise outcomes. All three branches converged on the nationalist/protectionist option under domestic political pressure.
Applebaum, Washington Post Jan 19, 2005; Smith et al. 2005
Figure 09

SIR Epidemiological Model — Smallpox Transmission

Interactive Susceptible-Infected-Recovered (SIR) compartmental model calibrated to smallpox parameters (R\u2080 = 5-7). Adjust vaccination rate and R\u2080 to explore counterfactual scenarios. The exercise used "conservative" epidemiological assumptions.

Figure 9. Deterministic SIR model: dS/dt = -\u03B2SI/N, dI/dt = \u03B2SI/N - \u03B3I, dR/dt = \u03B3I. Parameters: N = 500M (trans-Atlantic population), infectious period = 17 days (\u03B3 = 1/17), initial infected = 51. Vaccination removes proportion of S at t=0. Historical smallpox R\u2080: 5-7 (endemic); exercise used conservative end. Leitenberg critiqued the assumed R\u2080 as exceeding historical records for weaponized smallpox.
Henderson et al., JAMA 281(22), 1999; Leitenberg, US Army War College, 2005
Figure 10

Biosecurity Exercise Lineage — 2001 to COVID-19

Chronological timeline tracing the four major Johns Hopkins biosecurity exercises and their relationship to COVID-19. Each exercise built on its predecessor's findings. The same institutional network organized all four over 18 years.

Figure 10. Institutional lineage: Dark Winter (2001) \u2192 Atlantic Storm (2005) \u2192 Clade X (2018) \u2192 Event 201 (2019) \u2192 COVID-19 (2020). Key continuity: O'Toole, Inglesby, Henderson. Atlantic Storm was unique in its trans-Atlantic scope. Event 201's novel coronavirus scenario proved eerily prescient. Every major Atlantic Storm prediction was validated during COVID-19.
JHU Center for Health Security exercise archives; PubMed; Wikipedia
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