Illustrative: plants and ports, the routes between them and goods moving along; one node is disrupted and its routes stall
Risk Academy, led by the Nexus Consortium · Course catalogue · Health and Society
Global Health Security
Health systems and health care resilience
Health systems and health care resilience, 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.
Health systems and health care resilience: foundations and practice
This area covers the capacity of health systems to keep essential services running through shocks: hospital safety, surge capacity, workforce, medical supply chains, digital health and health data, health financing and equity.
- Level
- L2 Intermediate
- Study time
- about 24 hours (planning estimate)
- Status
- In authoring
- Prerequisites
- An L1 course in the area, or an entry review
Why now
Benchmarks coverage and financial protection gaps that determine how households absorb health shocks. World Health Organization, Most countries make progress towards universal health coverage, but major challenges remain, WHO–World Bank report finds, 6 December 2025
Learning outcomes
- Define surge capacity and the other key terms of the discipline and use them correctly in a written case
- Explain health system continuity and hospital safety and resilience with a worked example and its source
- Apply the discipline's method to a documented case and explain each result with its source
- Analyse a named case against surge capacity and workforce, stating evidence, date and limits
Modules
- Health system continuity
- Health system continuity
- Hospital safety and resilience
- Surge capacity and workforce
- Medical supply chains
- Medical supply chains
- Digital health and health data
- Health financing shocks
- Health equity
- Health equity
- Patient safety
- Lab: the discipline's method
- A health system's margin is the share of staffed beds that are empty on an ordinary day; a shock that admits patients faster than they are discharged eats that margin at a rate set by the intake rate times length of stay, and the day it reaches zero is a number a planner can compute in advance.
- Work the method through a documented case and explain each result
- Read the method's sources and stated values
Labs with Academy tools
- MethodFrom a shock to a full hospital: occupancy, surge margin and the day the beds run outThe discipline's method on the discipline page, with its cited sources, worked through a documented case
- InstrumentSIR epidemic modelA faculty instrument on the faculty page, run on the faculty's digital twin data
- InstrumentExposure by ageA faculty instrument on the faculty page, run on the faculty's digital twin data
- Twin builderDigital twin builderBuild the faculty's place in 3D, switch layers and read the credits and dates of each
- Map layerWeather forecast, 15 days with ensemble range (ECMWF via Open-Meteo)An open map layer the Academy's licence register admits, read in the map tools
- Map layerBuilt-up and settlement extent, 2010 (HBASE, Landsat)An open map layer the Academy's licence register admits, read in the map tools
- Map layerNitrogen dioxide, daily (TROPOMI, Sentinel-5P)An open map layer the Academy's licence register admits, read in the map tools
- Foundry roomData room, NXS-GRX (canonical data, provenance and risk)Health system capacity and access indicator series
- Foundry roomPortfolios room, NXS-CMD (integrated posture and executive synthesis)A portfolio view of health resilience programmes
Nexus Standards
Teaches
Relies on
- NS-1 The UNI and the artefact catalogue
- NS-16 UNI application profile (how articles, documents, code, data, APIs and interfaces carry the UNI)
- NRS-C1 Risk vocabulary and ontology
- NRS-C2 Risk assessment method
- NRS-C3 Hazard, exposure, vulnerability and capacity data
- NRS-C4 Risk data model, identifiers and exchange
- NRS-C7 Early warning, triggers and anticipatory action
- NRS-C8 Evidence, uncertainty and provenance
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
- World Health Organization, Most countries make progress towards universal health coverage, but major challenges remain, WHO–World Bank report finds, 6 December 2025
- Kruk, Myers, Varpilah and Dahn, What is a resilient health system? Lessons from Ebola, 2015
- Haldane and others, Health systems resilience in managing the COVID-19 pandemic: lessons from 28 countries, 2021
- Little, A proof for the queuing formula L = lambda W, 1961
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
Keyboard, with the map focused
Hold Ctrl or ⌘ and scroll to zoom
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
How learning runs, as a process you can run
Select a scenario and press Play: course, pathway, practice, faculty, cells and record.
Frontier course · L3 advanced, programme courses and standards
Health systems and health care resilience: frontier methods
The methods, data, tools and studies that changed health systems and health care resilience between 2024 and 2026, taught by reproducing them on open data.
- Level
- L3 Advanced
- Study time
- about 28 hours (planning estimate)
- Status
- Planned
- Prerequisites
- Health systems and health care resilience: foundations and practice; Working knowledge of a scripting language (Python or R) for the labs
Why now
Benchmarks coverage and financial protection gaps that determine how households absorb health shocks. World Health Organization, Most countries make progress towards universal health coverage, but major challenges remain, WHO–World Bank report finds, 6 December 2025
Learning outcomes
- Explain what changed in health systems and health care resilience since 2024 and cite the studies, data or rules behind each change
- Reproduce UHC monitoring report finds 2.1 billion facing financial hardship on open data and state the uncertainty of the result
- Evaluate a 2024 to 2026 study: its question, data, method, limits and what it changes for practice
- Design an analysis that combines a frontier method with the faculty's instruments, and justify each choice
Modules
- UHC monitoring report finds 2.1 billion facing financial hardship
- The WHO and World Bank report that 4.6 billion people lack essential health services and 2.1 billion face financial hardship from health costs, with medicines dominating out-of-pocket spending.
- Benchmarks coverage and financial protection gaps that determine how households absorb health shocks.
- World Health Organization, 6 December 2025
- WHO issues guidance as external health aid falls sharply
- WHO projects external health aid falling 30% to 40% in 2025 versus 2023; a survey found service cuts of up to 70% in some countries and job losses reported in over 50 countries.
- Shows how financing shocks propagate into service continuity, workforce loss and out-of-pocket costs.
- World Health Organization, 3 November 2025
- State of the World's Nursing 2025 reports 5.8 million shortfall
- WHO counts 29.8 million nurses in 2023 and a shortfall of 5.8 million, projected to fall to 4.1 million by 2030, with 78% of nurses in countries holding 49% of the population.
- Workforce gaps and their uneven distribution limit surge capacity and continuity of essential services during shocks.
- World Health Organization, 12 May 2025
- European Health Data Space regulation published
- The EHDS Regulation was published, entering into force on 26 March 2025, with cross-border exchange of patient summaries and ePrescriptions due from 2029 and secondary use rules phased in from 2029 and 2031.
- Sets the governance and security frame for health data exchange, a growing dependency for care continuity.
- European Commission, 5 March 2025
- 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
- Technology that helps and the risks it carries
- AI-assisted diagnostics, genomic surveillance and digital health.
- Ransomware in hospitals, AI medical device risk, biosecurity and neurotechnology.
Labs with Academy tools
- MethodFrom a shock to a full hospital: occupancy, surge margin and the day the beds run outThe discipline's method on the discipline page, with its cited sources, worked through a documented case
- InstrumentSIR epidemic modelA faculty instrument on the faculty page, run on the faculty's digital twin data
- InstrumentExposure by ageA faculty instrument on the faculty page, run on the faculty's digital twin data
- InstrumentAir exposureA faculty instrument on the faculty page, run on the faculty's digital twin data
- Twin builderDigital twin builderBuild the faculty's place in 3D, switch layers and read the credits and dates of each
- Map layerWeather forecast, 15 days with ensemble range (ECMWF via Open-Meteo)An open map layer the Academy's licence register admits, read in the map tools
- Map layerBuilt-up and settlement extent, 2010 (HBASE, Landsat)An open map layer the Academy's licence register admits, read in the map tools
- Map layerNitrogen dioxide, daily (TROPOMI, Sentinel-5P)An open map layer the Academy's licence register admits, read in the map tools
- Research hubResearch hubToday's open data and publications in the faculty's subjects, filtered to this discipline
- Foundry roomData room, NXS-GRXHealth system capacity and access indicator series
- Foundry roomPortfolios room, NXS-CMDA portfolio view of health resilience programmes
Nexus Standards
Teaches
Relies on
- NS-1 The UNI and the artefact catalogue
- NS-16 UNI application profile (how articles, documents, code, data, APIs and interfaces carry the UNI)
- NRS-C1 Risk vocabulary and ontology
- NRS-C2 Risk assessment method
- NRS-C3 Hazard, exposure, vulnerability and capacity data
- NRS-C4 Risk data model, identifiers and exchange
- NRS-C7 Early warning, triggers and anticipatory action
- NRS-C8 Evidence, uncertainty and provenance
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, 6 topics
- Cohort group
- A community group for each cohort of learners
- Achievement
- Recorded on completion of the assessed work
References
- World Health Organization, Most countries make progress towards universal health coverage, but major challenges remain, WHO–World Bank report finds, 6 December 2025
- World Health Organization, WHO issues guidance to address drastic global health financing cuts, 3 November 2025
- World Health Organization, Nursing workforce grows, but inequities threaten global health goals, 12 May 2025
- European Commission, Regulation on the European Health Data Space published, 5 March 2025
- Kruk, Myers, Varpilah and Dahn, What is a resilient health system? Lessons from Ebola, 2015
- Haldane and others, Health systems resilience in managing the COVID-19 pandemic: lessons from 28 countries, 2021
- Little, A proof for the queuing formula L = lambda W, 1961
Courses of the programme in Health systems and health care resilience
Every course of the programme placed in this discipline.
How the mapping to the Nexus Standards is read
The Academy proposes how each discipline teaches toward the Nexus Standards; the mapping is open for public review. Bodies and standards are named so learners can find and apply their published work; the Academy teaches their use and links to the publisher, and no affiliation is implied.
Take part in the work
Start from who you are.
Questions, answers and key terms
Is the course free?
What does completing a course give me?
Where do the data and the places come from?
How do I take part beyond the course?
Key terms
Surge capacity
The ability of a health system to expand services quickly during a sudden rise in demand.
Hospital safety index
A tool that assesses whether a hospital is likely to keep functioning in an emergency.
Essential health services
The services a health system must maintain in all circumstances.
Universal health coverage
Access for all people to the health services they need without financial hardship.
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.
Around Health systems and health care resilience: courses
Study health systems and health care resilience with us, or teach it
Every course is free and open. Institutions and experts can co-teach, host a cohort, contribute a lab or review a course before it opens.