Dr Louisa Sun · Division of Infectious Diseases, Alexandra Hospital, Singapore

The Preparedness Lab

Flatten the Curve... for Learning

Interactive tools for teaching public health, outbreak preparedness and response. Each one puts the learner in front of a decision, and then shows them what it cost.

Tools 01 / 05

Working under uncertainty, weighing containment against livelihoods and trust, judging when the evidence is strong enough to act: these are the hardest parts of outbreak response, and they are rarely learned well from being told about them. They are learned by deciding under pressure and then living with the result, even when the result is simulated.

If you teach or design training in this field, everything here is free to use in non-commercial teaching, and most of it can be adapted to a different context, audience or pathogen.

11 interactive tools, free for non-commercial teaching
4 teaching programmes they were built for
3 formats — multiplayer, self-paced, exercise series
Teaching tools

Built to make learners decide

The tools here are proof of concept as much as finished products. Each one started from a specific teaching problem: a concept that wasn't landing, a case study that deserved more than a lecture slide, a skill that could only be built through practice.

They have been used in postgraduate classrooms and professional training settings, and adapted for different regional contexts and audience levels. The list of problems that would suit the same treatment is a good deal longer than what is here so far.

Coverage of the course of an outbreak, by tool
Each bar marks the part of an outbreak that the tool covers, from the first signal to recovery. The exercise series covers the whole course because its cases are drawn from the history of public health, and several of them are not outbreaks.
  1. Outbreak Crisis ManagerSimulation · solo or facilitated · 6 rounds
  2. The Forest EdgeSimulation · solo or facilitated · 6 rounds
  3. IPC in Outbreak ResponseSimulation · self-paced · 8 scenes · 20 min
  4. The Formula Interactive ExercisesExercise series · self-paced · 7 × 15 min
  5. Before the CurveSimulation · self-paced · 3 acts · 60 min
  1. Title screen of the single-player edition of Outbreak Crisis Manager.
    Simulation · single-player and facilitated multiplayer

    Outbreak Crisis Manager

    Outbreak Crisis Manager is a decision simulation of the public health response to a novel respiratory virus in one of five fictional regions.

    • 6 rounds
    • 5 regions
    • Browser, no installation or accounts
    • CC BY-NC-ND 4.0
    How it runs and its design logic

    The simulation runs for six rounds, which follow the outbreak from the first unexplained cases to the end of the emergency. In each round the player selects non-pharmaceutical interventions within a budget, and each intervention has effects on five measures: health, economy, public trust, resources and equity. The five regions differ in population, economy, vulnerabilities and political constraints, and the same intervention therefore has different effects in different regions. Three stakeholder groups make requests with deadlines, and misinformation events occur in some rounds.

    The interventions that reduce transmission most also carry the largest economic and social costs, and a response that is sound on the evidence can lose the region's political support.

    Design logic
    Effects are shown as directional arrows rather than as points, so that the player reasons about trade-offs rather than optimising a visible score. Evidence strength, regional fit, preparedness, stakeholder escalation and misinformation all modify what an intervention costs or achieves. The single-player edition ends early under two conditions: epidemic overload, when hospital capacity is exceeded, and loss of political mandate, when the regional assembly withdraws the emergency powers.
    Format
    The single-player edition runs in the browser, without installation or accounts. In the facilitated multiplayer version, five regional teams play in one room with timed rounds and a facilitator's view.
    Features and licence
    Stakeholder pressure systemThree constituencies escalate demands across rounds and can block specific interventions if neglected.
    Preparedness consequence engineEarly-round decisions carry forward, creating region-specific benefits or penalties in later phases.
    Evidence-tier frameworkInterventions are tagged by strength of evidence, rewarding evidence-based reasoning.
    Misinformation challenge mechanicActive misinformation scenarios disrupt team strategy mid-round.
    Community-led alternativesEvery round includes zero-cost grassroots options alongside government interventions.
    After-action debriefThe debrief reports the downstream consequences of each team's decisions across all six rounds.

    Regional and pathogen parameters can be adapted to other outbreak scenarios. The engine has been re-themed once, into The Forest Edge.

    © 2025–2026 Dr Louisa Sun. Licensed under CC BY-NC-ND 4.0. The regions and the people in them are fictional. Terms of use and credits are in the tool.
  2. Title screen of the single-player edition of The Forest Edge.
    Simulation · single-player and facilitated multiplayer

    The Forest Edge

    The Forest Edge is a One Health field investigation simulation in which four sectors, Public Health, Animal Health, Food Safety and Environment, respond to a zoonotic outbreak over six rounds.

    • 6 rounds
    • 4 sectors
    • 2 to 3 hours facilitated
    • Browser
    • CC BY-NC-ND 4.0
    How it runs and its design logic

    Each sector holds only part of the information, field teams, budget and authority needed to control the outbreak, and confirming the source requires evidence that no single sector can obtain alone: the virus in human samples, the virus in the animal source, and an analytic study. In each round a sector reviews the situation and its own signals, resolves a crisis that presents two options, allocates field teams and budget to investigations and control measures, and commits. The round then resolves, and the report shows what changed and what the other three sectors did.

    In the single-player edition the player holds one sector and the other three are run by the computer. Their leads report what they see and what they intend, and their findings appear on a shared board once they have investigated. Each round one of them makes a request with a deadline, and a request that is met leads to coordination in the following round. In the facilitated version, run as the scenario Spillover at the Forest Edge, four teams hold the sectors and the facilitator resolves each round on a board visible to the whole room.

    Design logic
    The effect of a control measure is proportional to what the room has confirmed about the source and to public trust, so a measure taken before the source is understood delivers only a fraction of its effect, and additional spending does not compensate. The outbreak, public trust and the economy are shared across the whole system and no sector has a score of its own, so a shortcut taken by one sector imposes costs on the other three.
    Format
    Single-player edition in the browser. The facilitated version runs for 2 to 3 hours with four teams and a facilitator; its materials comprise a run guide with per-round guidance and a debrief script, participant briefs and role cards, teaching decks, and a sourced evidence pack. The pathogen is not named to participants until the debrief.
    Features and licence
    Each team sees only its own sectorA team is shown only its own signals, resources and decisions. Information established elsewhere in the room reaches it only through communication.
    Measures depend on the room's knowledgeA control measure taken before the source is understood delivers a fraction of its effect, and additional spending does not compensate for an incomplete investigation.
    Severity, trust and livelihoods are tracked separatelyContainment achieved through coercion registers as lost trust and lost income, and low trust then reduces compliance with every subsequent measure.
    Budget and field teams are finiteThere is one budget for the whole outbreak, a small number of field teams each round, and a share of a single national laboratory; budget spent early is unavailable at the peak.
    Every option has a costEach round presents each sector with one forced decision in which both options carry a cost, and declining to decide carries a larger one.
    Frameworks are named in the debriefParticipants play first; the frameworks are introduced in the debrief against decisions the participants have already made.
    © 2026 Dr Louisa Sun. Developed for the Singapore Field Epidemiology Training Programme. Licensed under CC BY-NC-ND 4.0. The district and the people in it are fictional; the scenario's parameters are drawn from the published record of a real outbreak. Terms of use and credits are in the tool.
  3. Opening screen of the ward simulation.
    Ward simulation · self-paced

    IPC in Outbreak Response

    IPC in Outbreak Response is a self-paced, scenario-based ward simulation for infection prevention and control nurses and postgraduate students.

    • 8 scenes
    • About 20 minutes
    • Browser
    • CC BY-NC-ND 4.0

    The public link is a preview in which scenes 1 to 3 are open; scenes 4 to 8 are available to enrolled students of the MSc programme.

    How it runs and its design logic

    The player takes the role of the IPC lead nurse on a hospital ward and follows an outbreak through eight scenes, from the first ward signal, through preparedness, the response pillars, genomics and global coordination, to recovery. Each decision connects events on the ward to the national and global systems that act on them and return guidance to the bedside. The simulation was developed for the MSc in Infection Prevention and Control at the Alice Lee Centre for Nursing Studies, National University of Singapore.

    Design logic
    Each scene ends in a decision, taken as a multiple-choice or multi-select question or a drag-to-rank sequence, and the feedback after each decision states the key learning point. Expandable knowledge cards explain the concepts on which a scene rests, such as the Swiss cheese model and the International Health Regulations, at the point of use. The language and the scenarios are those of ward-based staff.
    Format
    Self-paced, about 20 minutes, in the browser. The public link is a preview in which scenes 1 to 3 are open; scenes 4 to 8 are available to enrolled students of the MSc programme.
    Features and licence
    8-phase scenarioFrom the first signal through to recovery, covering preparedness, response pillars, genomics, and global coordination.
    MCQ & multi-selectKnowledge checks with detailed feedback and a key learning point after each decision.
    Drag-and-drop sequencingA sequencing task traces how a ward report becomes global guidance and returns to the bedside.
    Knowledge cardsExpandable panels explain core concepts, such as the Swiss cheese model, flattening the curve and the International Health Regulations.
    Built for nursing educationAligns with IPC learning outcomes and uses language and scenarios familiar to ward-based staff.
    Self-contained & self-pacedRuns entirely in the browser, for individual study or a facilitated group debrief.
    © 2026 Dr Louisa Sun. Licensed under CC BY-NC-ND 4.0. The content may be shared and distributed in its original form for non-commercial purposes, provided that the author is credited. Modified or translated versions may not be distributed without the author's written permission.
  4. Opening screen of one exercise in the series, the MDR-TB New York City case.
    Exercise series · self-paced · seven exercises

    The Formula Interactive Exercises

    The Formula Interactive Exercises are seven self-paced decision exercises built on case studies from The Formula for Better Health by Dr Tom Frieden.

    • 7 exercises
    • About 15 minutes each
    • Undergraduate and graduate modes
    • CC BY-NC-SA 4.0
    How it runs and its design logic

    Each exercise places the learner in the position of a decision-maker in a documented case from the history of public health and requires a decision to be committed before the reasoning is revealed. The case studies and the teaching content are Dr Frieden's; the contribution here is the exercise architecture, which turns each case into a sequence of decisions. Each exercise runs in an undergraduate and a graduate mode on the same material and takes about 15 minutes, on its own or within a course.

    Design logic
    Learners commit a choice and record their assumptions before the reasoning is revealed, so that the debrief can be checked against their own reasoning. Decisions carry forward across the acts of a case, and a consistency check identifies contradictions between a learner's analysis and the design decisions that follow it. The inbox and cohort-dashboard formats reproduce the information environment of the decision-maker in the original case.
    Instructor resources
    The full instructor resources are on the book's teaching site, formulateaching.theformulaforbetterhealth.net.
    Architecture and licence
    Decision-point structureLearners commit choices before reasoning is revealed, preventing passive reading of feedback.
    Dual-mode designUndergraduate and graduate modes set different levels of cognitive demand on the same material.
    Consequence engineDecisions carry forward across acts, so that later choices depend on earlier ones.
    Consistency-check mechanismIdentifies contradictions between a learner's own analysis and their subsequent design decisions.
    Assumption-recording frameworkLearners record their assumptions before outcomes are shown, so that the debrief can be checked against them.
    Scenario formatsInbox simulations and cohort dashboards reproduce the information environment of a decision-maker.
    Teaching content © 2026 Dr Tom Frieden. All rights reserved. Used with permission. Interactive exercise design by Dr Louisa Sun, National University Health System. Licensed under CC BY-NC-SA 4.0.
  5. Simulation · self-paced · three acts

    Before the Curve

    Before the Curve is a single-player narrative simulation of the public health response to a drug-resistant respiratory outbreak in a fictional city, with the player as its Director of Public Health. The three acts follow the See, Believe and Create framework of The Formula for Better Health.

    • 3 acts
    • About 60 minutes
    • Introductory to graduate level
    • Browser, desktop or laptop
    • Saves and resumes
    How it runs and its design logic

    The city, Meridian, has 600,000 inhabitants, and the player is appointed as the first cases appear in a single working-class district. In the first act, See, the player decides which weak signals to investigate and when the evidence is sufficient to act; in the second, Believe, how to build public and political confidence that the outbreak can be stopped; in the third, Create, how to design a response that is fast and fair, with each part of it assigned to a named person. Each decision is made by playing one card from a hand of options, after which the epidemic curve and the player's standing with the main characters are updated on screen. Decisions cannot be reversed, and their consequences carry through to the end.

    Design logic
    Every decision is committed before the reasoning behind it is revealed, and each decision corresponds to a principle from the book, whose page the player collects on completing it. The debrief traces the outcome back through the player's own choices.
    Format
    Self-paced, about 60 minutes in total, in three acts of roughly equal length, played in the browser on a desktop or laptop; progress is saved and can be resumed. The simulation is suitable for courses from introductory to graduate level and can be used as a standalone activity or alongside the existing case studies. No prior public health study is assumed, and technical terms are defined where they first appear.
    Based on The Formula for Better Health by Dr Tom Frieden, whose teaching content it remains. Simulation design and code © 2026 Dr Louisa Sun. Terms of use and credits are in the tool.
    Features
    Decisions are irreversibleNothing can be undone, and the consequences of early decisions persist to the end of the three acts.
    Terms are defined at first useTechnical terms carry a definition on hover or tap.
    Counterfactual curveThe player's epidemic curve is plotted against a do-nothing baseline, and the gap between the two is shown as cases prevented. During play the curve also carries a forecast that changes with each decision.
    Progress is savedThe simulation saves at each scene and resumes at the same point.
Looking further
What else

Beyond what's here

The same approach applies wherever a learner needs judgement rather than recall. Some problems in public health training and education that would suit it:

Laboratory capacity and accreditation

Walking health workers through accreditation standards as an interactive decision sequence, rather than a static checklist or manual.

Public health workforce onboarding

Orienting new staff to outbreak protocols and institutional systems through scenario-based exercises that build judgment, not just familiarity.

Risk communication practice

Designing messages for different audiences, outbreak stages, and trust contexts, with feedback that surfaces the consequences of each choice.

One Health tabletop exercises

Cross-sectoral teams navigating a zoonotic spillover event, with mechanics that make the human-animal-environment interface operationally real.

Surveillance system design

Building a sentinel network under resource and time constraints, with competing priorities that force genuine tradeoffs.

Policymaker decision support

Translating outbreak modelling outputs and epidemiological evidence into decision-relevant formats for non-technical audiences.

Community and school-level education

Making epidemic dynamics tangible for younger or non-specialist audiences through simplified but structurally honest simulations.

Something not on this list

If you have a teaching problem in outbreak preparedness that belongs here, or one that doesn't, get in touch.

Start a conversation
Dr. Louisa Sun
About

Dr. Louisa Sun

Dr. Louisa Sun (MB BS, MMed (Int Med), MRCP(UK), MPH) is an infectious diseases and public health physician based in Singapore. She is Head and Consultant of the Division of Infectious Diseases at Alexandra Hospital, National University Health System, and a Visiting Consultant at the National Centre for Infectious Diseases.

Her clinical work spans infectious disease medicine, infection prevention and control, and antimicrobial stewardship. She has led outbreak response operations at the institutional level — including large-scale field response during the COVID-19 pandemic — and contributes to national public health policy across communicable disease governance and antimicrobial resistance. Globally, she is engaged in outbreak preparedness and response through the Global Outbreak Alert and Response Network (GOARN).

In education, she has contributed to the development and delivery of postgraduate programmes in infectious disease emergencies and infection prevention and control, and holds teaching appointments at the Yong Loo Lin School of Medicine, National University of Singapore.

Alongside this work, she develops interactive teaching tools for outbreak preparedness education — and is always looking for new problems worth solving.

If any of that resonates, please get in touch.

Connect on LinkedIn

Contact

Let's build something

Every tool here began with someone bringing a teaching problem: a subject matter expert, an educator, or an institution that could already see what wasn't working. If you have one, get in touch.

Commissions, partnerships, and adaptations for non-commercial use are all possible.