The study, published in Public Health in Practice, applied the 7-1-7 framework, an organising principle for outbreak response that sets three sequential benchmarks. Every verified threat should be detected within 7 days of emergence, notified to the authority responsible for action within 1 day of detection, and met with all applicable early response milestones within 7 days of notification. The framework was developed by Resolve to Save Lives and has been embraced by the World Health Organization, which now embeds it in its Fourteenth General Programme of Work and its Early Action Review guidance. Crucially, the researchers behind the Sierra Leone analysis operationalised the third ‘7’ in a demanding way: not as the initiation of a first response activity, but as the completion of the full set of applicable early-action milestones across seven domains, ending on the latest qualifying date among them.

The team drew its evidence from the national Public Health Emergency Operations Centre Situation Room register, covering a fixed 24-month period from 1 February 2023 to 31 January 2025. Every one of the 33 registered priority events met the eligibility criteria and contained documentation sufficient to reconstruct the four milestone dates. These events spanned 14 of Sierra Leone’s 16 districts and included mpox-related events, measles, acute watery diarrhoea and cholera, suspected viral haemorrhagic fever, foodborne illness, meningitis and severe febrile illness, and anthrax or other zoonotic threats. Two reviewers independently examined each event file, reconciled dates by consensus, and required a narrative, a documented source and an adjudication note for every milestone, drawing on electronic Integrated Disease Surveillance and Response records, situation reports, laboratory and specimen-transport records, and response-action documentation.

The headline numbers reveal a striking imbalance across the pathway. Detection within 7 days of emergence was achieved for 22 of 33 events, or 66.7 percent, with a median emergence-to-detection interval of 5 days. Notification within 1 day of detection was met in 25 of 33 events, or 75.8 percent, with a median interval of just 1 day, making this the strongest stage of the cascade. But the third target told a very different story: only 11 of 33 events, exactly one-third, completed all applicable early response actions within 7 days of notification. The median notification-to-completion interval was 17 days, more than double the target, with an interquartile range of 7 to 35 days and a maximum of 74 days. Because every event that met the early-response target had also met the two earlier targets, exactly 11 of 33 events achieved the complete 7-1-7 pathway.

Perhaps the most striking single statistic concerns how time is distributed across the whole journey. For each event, the researchers divided the notification-to-completion interval by the total time from emergence to completion of early response. The median proportion of an event’s total elapsed time occurring after notification was 73.5 percent. In other words, even though detection and notification are the stages that typically attract surveillance investment and political attention, roughly three-quarters of the time that actually elapsed between a threat’s emergence and a completed early response was spent after the alarm had already been formally raised. Median total time from emergence to completion was 23 days, with a range stretching from 4 to 99 days.

The pattern held up under scrutiny. Sensitivity analyses that excluded the single longest-delayed event, restricted the cohort to the 22 laboratory-confirmed events, or removed foodborne events all left early-response attainment stubbornly low, at between 30 and 36 percent. Event type appeared to matter: suspected viral haemorrhagic fever events had the longest median notification-to-completion interval at 42.5 days, and none met the target, plausibly because responses demanding multiple linked functions, from specialised laboratory work to isolation and contact management, are especially vulnerable to a single lagging domain. The authors caution, however, that the event groups were too small for comparative inference, with between 2 and 9 events per category.

To understand what was slowing responses down, the researchers conducted a documentary review of the 22 delayed events, coding constraints only when records explicitly linked an operational problem to late completion. Funding delays were the most pervasive, documented in 20 of the 22 delayed events, or 90.9 percent, with records describing multiple sequential approval, release and transfer steps before money could be mobilised. District logistics, including shortages of vehicles, fuel and drivers, appeared in 18 events; specimen transport in 15; laboratory processes such as testing queues, batch testing, reagent shortages, repeat testing and delayed result release in 14; field deployment delays in 14; supply availability in 11; and coordination or decision clearance in 10. Delayed events typically carried several constraints at once, with a median of 4.5 categories per event, and 18 of the 22 events documenting at least four. The most common pairings combined fund release with district logistics, specimen transport, laboratory processes or field deployment, although the authors are careful to note that co-occurrence does not establish interaction or causation.

Just as instructive is what the study found in the 11 events that did meet the early-response target. Rather than inferring enablers from the absence of problems, the team required affirmative evidence linking a specific process or resource to prompt action. Timely events consistently showed prompt escalation through the Situation Room, district-led initiation rather than waiting for national instruction, ready transport and specimen referral, responsive diagnostic pathways, available initial response stocks, early coordination with clearly assigned responsibilities, and familiar procedures that teams had practised before. These features tended to occur together, suggesting that operational readiness is a bundle rather than a single switch, and they are presented as qualitative lessons to be standardised rather than as prevalence estimates.

The findings sit within a growing international evidence base. A five-country study published in The Lancet Global Health reported that 54 percent of events met the detection target, 71 percent notification and 49 percent early response, with only 27 percent meeting all three. Subsequent national studies reported all-target attainment of 24 percent in Uganda, 43 percent in Liberia, 48 percent in Cambodia and 44 percent in South Sudan. Sierra Leone’s detection and notification performance compares favourably with several of these benchmarks, while its early-response attainment underscores that the third ‘7’ is the binding constraint almost everywhere. The recurring bottleneck categories, financing, transport, laboratories, supplies, workforce and coordination, echo those documented across other implementing countries, and the Sierra Leone results reinforce the argument, made forcefully in prior work, that no single-bottleneck solution will suffice when most delayed events carry four or more simultaneous constraints.

The authors translate their findings into a concrete reform agenda. Formal notification should trigger release of a pre-approved initial response-funding ceiling, with financial reconciliation completed only after mobilisation, an approach consistent with evidence from Nigeria, where establishment of a revolving outbreak investigation fund cut median response time from 6 days to 2. Districts need standing transport and specimen-referral arrangements, laboratory escalation procedures and minimum response stocks. The enablers observed in timely events, prompt escalation, district-led initiation and early coordination, should be preserved and formalised through job aids, readiness checks and standing authority. Most distinctively, the study recommends opening an event-specific action register at notification, assigning an owner and deadline to every applicable early action, and initiating an Early Action Review whenever any requirement remains incomplete on day 7, with corrective actions tracked to closure in the national 7-1-7 database. The stakes are not hypothetical: most of Sierra Leone’s 2025 mpox epidemic unfolded after the study’s data freeze, illustrating exactly the multi-domain mobilisation, spanning laboratory confirmation, case management, vaccination, risk communication and logistics, that the third ‘7’ is designed to measure. The study’s transferable contribution is a complete, auditable toolchain for turning timeliness measurement into improvement, one that any country with a functioning emergency operations register could adapt.

Subject of Research: Timeliness of outbreak detection, notification and early response measured with the 7-1-7 framework in Sierra Leone

Article Title: Completion of early response actions accounted for most elapsed time across the 7-1-7 pathway in Sierra Leone, 2023–2025

Article References: Ikoona, E. N., Namulemo, L., Sinnah, M. M., Vandi, M. A., & Sahr, F. (2026). Completion of early response actions accounted for most elapsed time across the 7-1-7 pathway in Sierra Leone, 2023–2025. Public Health in Practice, 12, Article 100852. https://doi.org/10.1016/j.puhip.2026.100852

Image Credits: AI Generated

DOI: 10.1016/j.puhip.2026.100852

Keywords: 7-1-7 target, Sierra Leone, outbreak response, epidemic preparedness, public health surveillance, early action review, health financing, laboratory diagnostics, Integrated Disease Surveillance and Response, mpox, National Public Health Agency, timeliness metrics