Significance
30 measured / 30 eligible · 0 missing · 0 not applicable
score (0 to 1) · Event-level distribution, not a Situation risk score.
across all 30 events
On 20 October, the Federal Government of Nigeria activated an Ebola response after confirming an imported case. The 22 October headline “Nigeria identifies first Ebola patient as diplomat’s wife who holidayed in Uganda” identifies the patient as a diplomat’s wife and links her reported travel to Uganda. On 21 October, the Nigeria Centre for Disease Control reported the patient’s multi-organ failure in Abuja, and Uganda’s Ministry of Health reinforced screening at Entebbe. The Nigerian Senate directed the federal government to screen travelers for Ebola; the 22 October story “Nigeria's Senate orders Ebola screening at all entry points, seeks emergency funds” also describes its funding request. A 22 October story, “Nigeria and Uganda coordinate efforts to contain Ebola outbreak risk,” reports cross-border coordination, while “Africa CDC calls crisis meeting as Ebola outbreak spreads” describes a regional meeting. [Evidence: event:cameoplus_26aa49914653ba89, story:d64470faffcc, event:cameoplus_a589b62f13b6d3ef, entity:e_704567e430cea20e, event:cameoplus_19514886398d86fe, event:cameoplus_707034ee561d0716, story:a8bee78c3361, connection:0, story:66f64e43a5f3]
Footnotes[9][1][11][16][10][8][4][20][5]The central established facts are Nigeria’s imported Ebola case and actions by its federal government, the Nigeria Centre for Disease Control, and the Senate, alongside Uganda’s Entebbe screening. The patient’s Uganda travel link and the reported Nigeria–Uganda coordination make the cross-border dimension material, but they do not establish where the infection originated. The case coverage includes a headline attributing a DR Congo-strain match to health officials and another saying Nigeria had not confirmed to WHO that the patient traveled to DR Congo; “Bundibugyo Ebola outbreak spreads amid displacement and vaccine shortages” supplies separate outbreak context, not proof that Bundibugyo caused the Nigerian case. [Evidence: event:cameoplus_26aa49914653ba89, event:cameoplus_a589b62f13b6d3ef, event:cameoplus_707034ee561d0716, event:cameoplus_19514886398d86fe, story:d64470faffcc, connection:0, story:865b51328a99, connection:7]
Footnotes[9][11][8][10][1][20][7][21]Explanation originally captured 2026-10-23 · Evidence through 2026-10-24 UTC · Source edition sed_4dec184b9e3981847e4bd553f0b4ee2a
A 5-day Situation represented by 30 coded Events carried across 53 member Stories.
The coded activity is led by HE04 · Public Health Policy Action (12) and HE01 · Disease Outbreak (8).
Nigeria Centre for Disease Control, Africa Centres for Disease Control and Prevention, and Government of Bayelsa State are prominent in the retained actor and relationship evidence.
150 canonical Entities are linked to this edition.
Metric coverage. 30 coded Events · 30 CAMEO+ · 0 conflict. The four dimensions describe the CAMEO+ subset; conflict Events do not carry these scores.
Dot = mean · shaded span = observed range · position uses each metric’s defined scale.
How the coder scored the full retained Event set
30 coded events — 30 CAMEO+ (7 political)
Quad class over those 7 events · Verbal Cooperation 4 · Verbal Conflict 3. No conflict-family event here, so nothing carries a fatality count — a missing column, not a toll of zero. 23 sit outside POLITICAL, where Goldstein and quad class are undefined.
30 measured / 30 eligible · 0 missing · 0 not applicable
score (0 to 1) · Event-level distribution, not a Situation risk score.
across all 30 events
30 measured / 30 eligible · 0 missing · 0 not applicable
score (0 to 10) · Event-level distribution, not a Situation risk score.
across all 30 events — every one of them CAMEO+
30 measured / 30 eligible · 0 missing · 0 not applicable
score (0 to 1) · Event-level distribution, not a Situation risk score.
across all 30 events — every one of them CAMEO+
30 measured / 30 eligible · 0 missing · 0 not applicable
score (0 to 1) · Event-level distribution, not a Situation risk score.
across all 30 events — every one of them CAMEO+
30 measured / 30 eligible · 0 missing · 0 not applicable
score (0 to 1) · Event-level distribution, not a Situation risk score.
across all 30 events — every one of them CAMEO+
7 measured / 7 eligible · 0 missing · 23 not applicable
score (-10 to 10) · Event-level distribution, not a Situation risk score.
across the 7 of 30 events Goldstein is defined on — CAMEO+ POLITICAL and the conflict family; the other nine CAMEO+ domains have no Goldstein semantics
30 measured / 30 eligible · 0 missing · 0 not applicable
score (0 to 1) · Event-level distribution, not a Situation risk score.
across all 30 events
This retained edition, independent of graph and page limits. Different dimensions, not a blended risk score; reported tolls may overlap.
2026-10-24from the recordslatest
Kenya Ministry of Health accounts for 135 Ebola contacts
15 Stories and 4 coded Events (-9 / -3 against the day before). Widest coverage: Kenya reports second Ebola death, a close relative of the first patient (25 articles). Recorded acting: Government of Bayelsa State.
What kind of event · 11 coded types
over 30 coded events on this edition
Countries · where it happened
Countries · who is acting
Selected from the complete retained edition
The imported-case identification, the Nigeria CDC patient update, and federal mobilization form the Nigerian case-and-response strand.
The Senate’s screening direction and its reported request for emergency funds make the policy strand distinct from the clinical update.
Coverage places the Nigerian case alongside Uganda screening, reported Nigeria–Uganda coordination, and South Africa’s travel-history and port-of-entry measures.

On 20 October, the Federal Government of Nigeria activated a response after confirming an imported Ebola case.
On 20 October, the Federal Government of Nigeria activated a response after confirming an imported Ebola case.
Footnotes[9]
On 21 October, the Nigeria Centre for Disease Control reported the patient’s multi-organ failure in Abuja.
On 21 October, the Nigeria Centre for Disease Control reported the patient’s multi-organ failure in Abuja.
Footnotes[11]
On 21 October, Uganda’s Ministry of Health reinforced Ebola screening at Entebbe.
On 21 October, Uganda’s Ministry of Health reinforced Ebola screening at Entebbe.
Footnotes[10]
On 21 October, the Nigerian Senate directed the federal government to screen travelers for Ebola.
On 21 October, the Nigerian Senate directed the federal government to screen travelers for Ebola.
Footnotes[8]
On 20 October, Benin’s Ministry of Health activated an Ebola pre-alert and strengthened border surveillance.
On 20 October, Benin’s Ministry of Health activated an Ebola pre-alert and strengthened border surveillance.
Footnotes[13]Evidenced relationships involving significant participants beyond the central cast.
The Entity’s supporting-event entry identifies it as actor in this Event.
The Event lists the case-identification Story as supporting coverage.
The Event lists the Senate screening Story as supporting coverage.
The link connects the Stories; it does not establish South Africa’s participation in the Nigerian case.
The Entity’s supporting Stories include the crisis-meeting headline, but its Entity entry has no supporting Event.
This edition freezes the complete served membership and analysis available through its UTC cutoff. Later repairs or identity changes do not rewrite what this edition showed.
Stories are reporting clusters. Events are coded occurrences within that reporting. The cast contains 150 canonical people and organizations linked to the retained evidence.
Story-to-Event edges identify supporting reporting. Entity-to-Event edges identify recorded actor or target participation. Mentions and analytical roles stay visibly distinct from recorded participation.
Core, precursor, and continuation labels organize the reading. They do not by themselves establish causation. Collapsed graph groups and paginated evidence change presentation only; counts use the complete retained edition.