Data sources

• IATI Datastore: activities published to the International Aid Transparency Initiative by donors, UN agencies, NGOs and others.
• OCHA Financial Tracking Service (FTS): humanitarian funding flows, used for comparison on the gaps page.
• OCHA COD-AB province and territory boundaries for DRC (CC BY-IGO), and DRC health zones from the Référentiel Géographique Commun and OpenStreetMap (© OpenStreetMap contributors, ODbL), both via HDX.
• GeoNames (CC BY 4.0) to resolve published place identifiers and names in Uganda and South Sudan.
• IMF monthly exchange rates via Code for IATI, and IATI codelists including the Reporting Organisation list.

Finding activities

Very few publishers tag their activities with the outbreak's GLIDE code (at the last check, one), so most activities can only be found by searching their text. We search the IATI Datastore for activities that:

• carry the GLIDE code or the IFRC emergency appeal code MDRS1007 as their humanitarian scope; or
• mention Ebola, EVD, Bundibugyo, BDBV or maladie à virus in their title or description, and have a date, budget or transaction in 2026; or
• have a 2026 transaction whose description mentions Ebola.

Deciding what is relevant

Each activity found is classified as:

• Core: tagged with the GLIDE or appeal code, mentions the Bundibugyo virus, or has Ebola in its title and starts in 2026. The response began in mid-May 2026.
• Possible additional matches: mentions Ebola only in its description or in 2026 transactions, for example staff secondments or country programmes that include some Ebola work. This includes projects that started earlier in 2026 and were later adapted to the outbreak, such as several DRC Humanitarian Fund projects. These are listed but not counted in totals.
• Excluded: earlier outbreaks (such as Kasai 2025 or West Africa 2014), and projects in the Ugandan district of Bundibugyo that are unrelated to the virus.

Borderline cases can be reclassified by hand.

Money

• All values are converted to US dollars at the IMF monthly rate for the transaction or budget date.
• Each activity's headline value is the larger of its outgoing commitments and its disbursements plus expenditure; if it reports neither, its budget.
• To avoid counting the same money twice, activities funded by another activity on this site are excluded from totals (for example, FCDO's grant to the British Red Cross, which the Red Cross also reports). These pass-throughs are identified from the funder and activity identifiers in each transaction.
• Totals therefore reflect what publishers report to IATI, not all funding for the response.

Geography

Sub-national locations come from two sources, which the map shows separately:

• Published locations: IATI location elements. GeoNames identifiers tell us whether a point represents a country, a province or a specific place, so a country-level point is never assigned to a province.
• Place names in the text: names of DRC provinces, territories and health zones, and of districts and towns in Uganda and South Sudan, found in activity titles and descriptions.

IATI locations have no percentages, so an activity's value is split evenly across the DRC provinces it names. Many activities, especially donor contributions to the WHO and IFRC appeals, have no sub-national location.

Comparing with FTS

FTS has an emergency for this outbreak, but at the last check no funding was coded to it. Instead we use flows tagged with the keyword EBOLA2026 or mentioning Ebola in their description. Pooled-fund allocations (CERF and the DRC Humanitarian Fund) are counted at the point where they are allocated to Ebola work. Some of these allocations also cover other emergencies, such as conflict and displacement.

Grants from CERF, OCHA's country-based pooled funds and ECHO are matched exactly: FTS records each grant's project or grant code, and the same code forms its IATI identifier. For other flows, FTS organisations are linked by hand to IATI publishers in the Reporting Organisation codelist, and a flow counts as visible in IATI if its donor or recipient publishes at least one core activity for this crisis. That is a check of who reports, not a flow-by-flow reconciliation.

Limitations

• Text matching can miss activities that don't mention Ebola, and can include activities only partly about the outbreak.
• Publishers update their data at different times, and some lag well behind. The IATI Datastore can also temporarily lose a publisher's dataset, so figures can change from one night to the next.
• Place names in descriptions show where an activity works, not how its money is divided.
• Exchange rates for recent months use the latest available IMF rate.