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Risk Academy, led by the Nexus Consortium · Course catalogue · Hazards, Disasters and Resilience

Disaster Risk Reduction and Early Warning

Biological and epidemic hazards in disaster risk management

Biological and epidemic hazards in disaster risk management, taught twice over: as the working methods of the field and as its frontier since 2024, with labs on the Academy's tools, open data and the Nexus Standards.

The discipline

01Core course · L2 Intermediate

Biological and epidemic hazards in disaster risk management: foundations and practice

This area covers epidemics, pandemics, zoonoses and other biological hazards as disaster risks: how they are assessed alongside natural hazards, how they compound with them and how disaster risk management and health emergency management work together.

Level
L2 Intermediate
Study time
about 24 hours (planning estimate)
Status
Planned
Prerequisites
An L1 course in the area, or an entry review

Why now

It reshapes international expectations for pandemic preparedness, though key mechanisms remain under negotiation and the agreement is not yet in force. World Health Organization, World Health Assembly adopts historic Pandemic Agreement to make the world more equitable and safer from future pandemics, 20 May 2025

Learning outcomes

  1. Define biological hazard and the other key terms of the discipline and use them correctly in a written case
  2. Explain biological hazards in the Sendai Framework and the Bangkok Principles and epidemics and pandemics as disaster risks with a worked example and its source
  3. Apply the discipline's method to a documented case and explain each result with its source
  4. Analyse a named case against zoonoses and spillover at the human, animal and environment interface, stating evidence, date and limits

Modules

  1. Biological hazards in the Sendai Framework and the Bangkok Principles
    • Biological hazards in the Sendai Framework and the Bangkok Principles
    • Epidemics and pandemics as disaster risks
    • Zoonoses and spillover at the human, animal and environment interface
  2. Compound disasters: epidemics during floods, cyclones and displacement
    • Compound disasters: epidemics during floods, cyclones and displacement
    • Health emergency and disaster risk management (Health EDRM)
    • Mass gatherings and evacuation in an epidemic
  3. Continuity of health services in disasters
    • Continuity of health services in disasters
    • Biological hazard information in the Hazard Information Profiles
  4. Lab: the discipline's method
    • The number of displaced people and the space each has set the contact rate; the contact rate scales the reproduction number; the reproduction number through the SIR dynamics sets the attack rate; the attack rate times the population and a severity share gives the care the health cluster must plan for.
    • Work the method through a documented case and explain each result
    • Read the method's sources and stated values

Labs with Academy tools

Assessment

  • 40%Lab recordWork the discipline's method through a documented case and explain each result with its source and date
  • 40%Case memoApply the discipline's methods to a named place or organisation, stating evidence and limits
  • 20%Key terms checkShort answers on the key terms, marked against the definitions

Delivery

  • Self-paced online, with the labs in the browser
  • Cohort study over six to eight weeks, with a weekly lab review
  • Co-delivered with a partner institution, inside its own courses

Partner on this course

  • Co-teach a module and bring a current case from your work
  • Host a cohort for your learners, with your own schedule and review
  • Contribute a lab: a dataset your institution publishes openly, or a model
  • Review the course content and its references before it opens
  • Translate the course and adapt its cases to your region

How institutions and experts take part

In the Academy LMS

Course on the learning platform
Intermediate, 4 topics
Cohort group
A community group for each cohort of learners
Achievement
Recorded on completion of the assessed work

References

  1. World Health Organization, World Health Assembly adopts historic Pandemic Agreement to make the world more equitable and safer from future pandemics, 20 May 2025
  2. World Health Organization, Health Emergency and Disaster Risk Management Framework, 2019
  3. Watson, Gayer and Connolly, Epidemics after natural disasters, 2007
  4. Kermack and McKendrick, A contribution to the mathematical theory of epidemics, 1927
02Live map

Environmental exposure in India

Haze, nitrogen dioxide, dust, surface heat by day and night, and where people live, over India.

The interactive map needs JavaScript; the layer list and sources are below.

Layers 2

Environmental exposure

Latest available

NASA GIBS / EOSDIS · ASTER GDEM (METI, NASA) · Blue Marble (NASA) · © OpenStreetMap contributors (ODbL) · Natural Earth

Loading the latest NASA imagery.

Drag to move. Ctrl or ⌘ and scroll, pinch or the buttons to zoom; hover for the values under the pointer; reset returns to the region.

Environmental exposure, framed on India.Satellite and model products as NASA publishes them, each with its own date. They are indicators, not assessments of any place.

Data: NASA GIBS · ASTER GDEM · Blue Marble · © OpenStreetMap contributors · Natural Earth · NASA EONETSources and licences

  • We acknowledge the use of imagery provided by services from NASA's Global Imagery Browse Services (GIBS), part of NASA's Earth Science Data and Information System (ESDIS). Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). NASA open data
  • MODIS and VIIRS atmosphere products, NASA LANCE and LAADS DAAC; imagery via NASA GIBS. Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). NASA open data
  • VIIRS near-real-time products (flood, land surface temperature, snow cover, corrected reflectance), NASA LANCE; imagery via NASA GIBS. Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). NASA open data
  • OMI nitrogen dioxide (Aura) and OMPS aerosol index (Suomi NPP), NASA; distributed by the NASA GES DISC; imagery via NASA GIBS. Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). NASA open data
  • MERRA-2 reanalysis, NASA Global Modeling and Assimilation Office; distributed by the NASA GES DISC; imagery via NASA GIBS. Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). NASA open data
  • Center for International Earth Science Information Network (CIESIN), Columbia University. 2018. Gridded Population of the World, Version 4 (GPWv4): Population Density, Revision 11. NASA Socioeconomic Data and Applications Center (SEDAC). Licensed under CC BY 4.0. Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). doi:10.7927/H49C6VHW. CC BY 4.0
  • NASA Fire Information for Resource Management System (FIRMS), VIIRS 375 m active fire product, NASA LANCE; vector tiles via NASA GIBS. Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). NASA open data
  • ASTER GDEM is a product of METI and NASA (ASTER Global Digital Elevation Model V003, NASA LP DAAC); imagery via NASA GIBS. Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). Cite as: NASA/METI/AIST/Japan Spacesystems and U.S./Japan ASTER Science Team (2019). ASTER Global Digital Elevation Model V003. doi:10.5067/ASTER/ASTGTM.003. NASA open data
  • Made with Natural Earth. Free vector and raster map data @ naturalearthdata.com. Public domain
  • © OpenStreetMap contributors (ODbL), via NASA GIBS (coastlines, boundaries, roads and place names). Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). ODbL
  • Blue Marble, NASA Earth Observatory; imagery via NASA GIBS. Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). NASA open data
  • Context on the globe and flat map: coastlines, boundaries, roads and place names from NASA GIBS reference layers (OpenStreetMap data, ODbL, © OpenStreetMap contributors); Blue Marble imagery as an optional base; 3D terrain and the elevation read-out from the ASTER GDEM elevation colour index (5 m to 200 m classes, exaggerated for legibility). Boundaries are drawn as published and imply no position on any territory.
  • Globe: MapLibre GL JS 6.9.1, BSD-3-Clause, © MapLibre contributors.
  • Live events: NASA Earth Observatory Natural Event Tracker (EONET); events are indicative and keep their original source links.
  • NASA GIBS: We acknowledge the use of imagery provided by services from NASA's Global Imagery Browse Services (GIBS), part of NASA's Earth Science Data and Information System (ESDIS).
  • Air quality forecast, 5 days, PM2.5 (CAMS via Open-Meteo): Contains modified Copernicus Atmosphere Monitoring Service information 2026.
  • Past year, daily temperature (ERA5 via Open-Meteo): Contains modified Copernicus Climate Change Service information 2026.
  • Weather data by Open-Meteo.com (https://open-meteo.com/), licensed under CC BY 4.0 (https://creativecommons.org/licenses/by/4.0/).
  • Optional layers (12 sources in the layer list: live, forecast, observed and context) print their provider credit on the map and here when switched on; forecasts are model output and derived indices are estimates.

Layers and dates

  • Aerosol optical depth, daily: VIIRS NOAA-20 Deep Blue AOD, NASA LANCE · 13 Oct 2026
  • Land surface temperature, day, 8-day composite: VIIRS NOAA-20 Level 3, 8-day, NASA LANCE · 14 Sep 2026
  • Nitrogen dioxide, lower atmosphere column: OMI Aura, NASA GES DISC · 10 Oct 2026
  • Surface dust PM2.5, monthly mean: MERRA-2, NASA GMAO / GES DISC · July 2026
  • Land surface temperature, night, 8-day composite: VIIRS NOAA-20 Level 3, 8-day, NASA LANCE · 14 Sep 2026
  • Population density, 2020: Population: CIESIN, Columbia University, Gridded Population of the World v4.11 (2018), NASA SEDAC, CC BY 4.0 · static
  • Active fires and thermal anomalies: VIIRS NOAA-20 375 m (FIRMS), NASA LANCE FIRMS · 13 Oct 2026
  • Flood water, 3-day composite: VIIRS Global Flood Product, NASA LANCE · 14 Oct 2026

03How learning runs

How learning runs, as a process you can run

Select a scenario and press Play: course, pathway, practice, faculty, cells and record.

04What is changing

What is changing, with standards and evidence

Biological and epidemic hazards in disaster risk management: frontier methods

The methods, data, tools and studies that changed biological and epidemic hazards in disaster risk management between 2024 and 2026, taught by reproducing them on open data.

Level
L3 Advanced
Study time
about 28 hours (planning estimate)
Status
Planned
Prerequisites
Biological and epidemic hazards in disaster risk management: foundations and practice; Working knowledge of a scripting language (Python or R) for the labs

Why now

It reshapes international expectations for pandemic preparedness, though key mechanisms remain under negotiation and the agreement is not yet in force. World Health Organization, World Health Assembly adopts historic Pandemic Agreement to make the world more equitable and safer from future pandemics, 20 May 2025

Learning outcomes

  1. Explain what changed in biological and epidemic hazards in disaster risk management since 2024 and cite the studies, data or rules behind each change
  2. Reproduce world Health Assembly adopts the WHO Pandemic Agreement on open data and state the uncertainty of the result
  3. Evaluate a 2024 to 2026 study: its question, data, method, limits and what it changes for practice
  4. Design an analysis that combines a frontier method with the faculty's instruments, and justify each choice

Modules

  1. World Health Assembly adopts the WHO Pandemic Agreement
    • WHO member states adopted the Pandemic Agreement by consensus, setting principles for pandemic prevention, preparedness and response, including equitable access to medical countermeasures; it opens for signature only after a pathogen access and benefit-sharing annex is adopted.
    • It reshapes international expectations for pandemic preparedness, though key mechanisms remain under negotiation and the agreement is not yet in force.
    • World Health Organization, 20 May 2025
  2. Reproduction lab
    • Extend the discipline's method with one frontier method and compare its results
    • State the uncertainty and the limits of the result
    • Peer review against a shared checklist
  3. Technology that helps and the risks it carries
    • Drones, Earth observation, machine learning forecasting and cell broadcast warnings.
    • Telecom and positioning failure, and AI-generated misinformation in a crisis.

Labs with Academy tools

Assessment

  • 50%Method reproductionReproduce one frontier method on open data and state the uncertainty of the result
  • 30%Study reviewA critical review of a 2024 to 2026 study: question, data, method, limits, what it changes
  • 20%Peer reviewReview two other learners' reproductions against a shared checklist

Delivery

  • Self-paced online, with the labs in the browser
  • Cohort study over six to eight weeks, with a weekly lab review
  • Co-delivered with a partner institution, inside its own courses

Partner on this course

  • Co-teach a module and bring a current case from your work
  • Host a cohort for your learners, with your own schedule and review
  • Contribute a lab: a dataset your institution publishes openly, or a model
  • Review the course content and its references before it opens
  • Translate the course and adapt its cases to your region

How institutions and experts take part

In the Academy LMS

Course on the learning platform
Expert, 3 topics
Cohort group
A community group for each cohort of learners
Achievement
Recorded on completion of the assessed work

References

  1. World Health Organization, World Health Assembly adopts historic Pandemic Agreement to make the world more equitable and safer from future pandemics, 20 May 2025
  2. World Health Organization, Health Emergency and Disaster Risk Management Framework, 2019
  3. Watson, Gayer and Connolly, Epidemics after natural disasters, 2007
  4. Kermack and McKendrick, A contribution to the mathematical theory of epidemics, 1927
05Take part

Take part in the work

Start from who you are.

06Questions

Questions, answers and key terms

Is the course free?
Yes. Every course and learning material of Risk Academy, led by the Nexus Consortium, is free to study, self-paced or with a cohort. Ordinary participation has no fee; paid work, internships and fellowships are separate arrangements.
What does completing a course give me?
A completion record: the course, its version, the date and what was assessed, private by default and shared by you. It stacks into discipline, department and programme achievements. A record states what was studied and assessed and does not certify competence; it is not a licence, a professional title or an employment status.
Where do the data and the places come from?
Every faculty teaches on a twin of a real place built from open data; each layer carries its provider, licence and date, and every result on the Academy states its source. Maps and figures are indicators for teaching, never an assessment of a place.
How do I take part beyond the course?
Form a competence cell of three to seven people, study a shared pathway, take a supervised assignment in the National Working Groups, or bring a cohort from your institution. For organisations.

Key terms

Term

Biological hazard

A process or phenomenon of organic origin, such as a pathogen or toxin, that may cause loss of life, illness or disruption.

Term

Health EDRM

The WHO framework for health emergency and disaster risk management across all hazards.

Term

Bangkok Principles

Principles adopted in 2016 for implementing the health aspects of the Sendai Framework.

Term

Spillover

The transmission of a pathogen from an animal reservoir to people.

ReportsContribute

Contribute evidence from this page.

Reports is the Consortium's quarterly publication. What you know about this subject can become evidence, a case or a correction in the next edition, credited to you and published under CC BY 4.0 where it is your own work.

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