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Topic dossier · Health Nexus

Infectious threats

An outbreak becomes an emergency when a pathogen spreads faster than the systems that detect, characterise and contain it. Readiness depends on surveillance that sees early, laboratories that confirm, and evidence that is honest about what is not yet known. This page sets out how infectious threats emerge and spread, how they are detected and assessed, and how uncertainty is carried into the decisions of public health authorities.

01In brief

The short answer.

An infectious disease outbreak is an occurrence of cases above what is normally expected in a place and time. It becomes an emergency when the pathogen spreads faster than surveillance, laboratories and response can detect and contain it. Early figures change as reporting catches up, so estimates carry their delays and uncertainty.

02Geography

Access to care in the Horn of Africa.

How far each division sits from a large city, with the roads and airports that carry patients and supplies, shown for the Horn of Africa as an example geography for this subject.

How far each division sits from a large city, with the roads and airports that carry patients and supplies.Indicator derived from Natural Earth at map scale; a screening view, not an assessment.
GCRI · Health Nexus · fieldDESIGN FIGURE
03Console

Surveillance and capacity board, in outline.

The working screen behind this subject: its structure, terms and states. Names are placeholders and values illustrative.

Surveillance and capacity board: the screen's structure, terms and states for Infectious threats.Placeholder names and illustrative values; a design, not a record or a live system.
04The question

Infectious threats: how the risk develops.

Outbreak readiness, surveillance and uncertainty. The dossier below sets out how the risk develops, what is measured, where the data come from, how it is modelled and who decides.

Mechanism

Detection lags transmission

Cases appear in surveillance only after infection, symptoms, care-seeking, testing and reporting. Each step adds delay and loses cases, so early counts describe the past and undercount the present.

Mechanism

Contact and immunity shape spread

Spread depends on the pathogen's transmissibility, the timing of infectiousness, population immunity and contact patterns. Mobility, crowding and mass gatherings connect local chains of transmission into regional and international ones.

Mechanism

Pathogens evolve under pressure

Variants with altered transmissibility, severity or immune escape arise and are selected. Genomic surveillance detects them, but only where sequencing capacity exists and samples and data are shared promptly.

Mechanism

Outbreaks cascade into other systems

Surges strain hospitals and staff, travel and trade restrictions disrupt supply chains, and absenteeism reaches food, energy and transport. Public trust and the quality of information shape behaviour, and so the course of the outbreak itself.

05Key terms

Terms used on this page.

Each term as this page uses it. Where a standard-setting body defines the term, the wording follows that body.

TermDefinition
Reproduction numberThe average number of people one case infects; the time-varying value reflects current immunity and control measures.
Public health emergency of international concernAn extraordinary event that may spread internationally and need a coordinated response, declared by the WHO Director-General under the IHR.
NowcastingEstimating current case numbers by correcting recent counts for reporting delays.
Case fatality riskThe proportion of confirmed cases who die of the disease, which depends heavily on testing and case definitions.
06Indicators

What is measured, and how well.

Each indicator carries its unit, its cadence, the kind of source behind it and the evidence label a value would carry. No values are shown: a programme supplies them under its own authority.

IndicatorUnitCadenceSource typeLabel
Notified cases by date of onsetcasesdaily or weeklyIndicator-based surveillanceREPORTED
Time-varying reproduction numberdimensionlessweeklyTransmission models on onset and case dataESTIMATED
Test positivitypercent of tests positiveweeklyLaboratory reportingOBSERVED
Sequencing coveragepercent of confirmed cases sequencedweeklyGenomic surveillance and public repositoriesOBSERVED
Timeliness of detection, notification and responsedays between emergence, detection, notification and responseper eventEvent records against national timeliness targetsREPORTED
Influenza-like illness and severe acute respiratory infectionconsultations or admissions per hundred thousand populationweeklySentinel surveillance in GISRSOBSERVED
Case fatality riskpercent of confirmed cases with known outcomeper eventLine lists with outcome follow-upESTIMATED
Excess mortalitydeaths above expectedweekly or monthlyVital registration against modelled baselinesESTIMATED
07Canvas

From sources to decisions.

The topic as a computational graph: named sources feed the methods, an evidence review gates the outputs, and the decisions stay with the authorities that hold them.

Pipeline canvas · Infectious threats as a run graphDesign, not a record
Infectious threats: event detection, verification and notificationIndicator-based and event-based signals are triaged and verified; the national focal point assesses the event with the Annex 2 decision instrument and notifies within 24 hours when it qualifies; response and after-action review follow. Design of the process, not a record of a run.

Fig. 02Nodes carry their type, two metric rows and a state; connectors show what feeds what; dashed frames name the owners; the timeline is the cadence. Design of the pipeline, not a record of a run.

08Sources

Where the evidence comes from.

Named public datasets and institutional records, each with its licence class. Sources by agreement are used only under their terms and never republished.

SourceWhat it givesLicence class
WHO Disease Outbreak NewsOfficial public reports on acute public health eventsPublic records, WHO terms of use
WHO GISRS: FluNet and FluIDVirological and epidemiological influenza surveillance from national influenza centresOpen, attribution, WHO terms of use
GISAIDInfluenza and coronavirus genomes with sampling metadataRegistered access under the GISAID database access agreement
INSDC sequence archives and NextstrainOpen pathogen sequences and phylogenetic analysesFree and unrestricted; open, attribution
ECDC Surveillance Atlas and Africa CDC epidemic intelligence reportsRegional surveillance data and weekly event reportsOpen, attribution, terms per agency
ProMED and HealthMapEvent-based signals from media, professional networks and informal reportsTerms per service
Global.healthDe-identified case line lists for selected outbreaksOpen, attribution (CC BY 4.0)
09Decisions

Who decides, and what the evidence serves.

Health Nexus prepares evidence. The decisions below are taken by the authorities named, under their own rules, and never by the platform.

Who decidesThe questionEvidence this page serves
National public health institutesWhether a signal is a true event, and what investigation and response it warrantsSignal verification trail; line lists; nowcasts with their uncertainty
IHR National Focal PointsWhether an event meets the criteria for notification to WHO under the IHR decision instrumentEvent assessments with the evidence for each criterion labelled
Hospital systemsHow much surge capacity to activate, and whenAdmission scenarios by region with confidence bands
Ministries of health and cabinetsWhich public health and social measures to apply, adjust or lift, and for how longTransmission estimates; evidence on the effects of measures with its limits; cascade scenarios

Outputs this topic produces

  • Outbreak situation evidence with reporting delays and completeness stated
  • Nowcasts and short-term scenarios with their skill reported
  • Genomic context for emerging variants and lineages
  • Readiness evidence read against IHR core capacities
10Core questions

What experts ask.

Most decisions about outbreaks are made before the facts are settled.

  • Is an unusual signal a real outbreak, and how fast is it growing?
  • How transmissible and how severe is the pathogen, and for whom?
  • How much transmission occurs before symptoms appear?
  • What effect would testing, isolation, vaccination or other measures have, and at what social cost?
  • When does health-system demand exceed capacity?
11Mechanisms

Mechanisms and drivers.

Transmission depends on the pathogen's biology, contact patterns between people, immunity in the population and the environment. The reproduction number summarizes how many people each case infects on average; when it stays above one, case numbers grow. Mobility, crowding, seasonality and human behaviour change the reproduction number over time.

Severity depends on age, underlying conditions, access to care and how stretched the health system is. A pathogen of moderate severity can still overwhelm hospitals if it spreads widely, which is why the indirect harm from disrupted services can rival the direct harm of the infection.

12Methods and data

How it is studied, and where the methods stop.

Method or dataWhat it showsLimits
Indicator and event-based surveillanceUnusual clusters and trends from reports, laboratories and mediaReporting delays, under-ascertainment and changing testing practice
Genomic surveillanceVariants, transmission chains and introductionsUneven sequencing capacity and sampling bias
Compartmental and agent-based modelsScenarios of spread and the effect of interventionsHighly sensitive to uncertain parameters early in an outbreak
Nowcasting and short-term forecastingCurrent and near-future trends corrected for reporting delayReliable only over short horizons
Serological surveysHow many people have been infectedAntibody waning and test performance complicate interpretation
14Questions

Questions and answers.

Why do early outbreak numbers change so much?
Because reports arrive late, mild cases are missed and outcomes are not yet known. Estimates are revised as data mature, and nowcasting methods adjust for the delays that can be measured.
What is the difference between a forecast and a scenario?
A forecast states what is expected to happen with a probability and can be checked against what happens. A scenario explores what would follow from stated assumptions, such as a change in measures, and is not a prediction.
What is a public health emergency of international concern?
Under the International Health Regulations, an extraordinary event that constitutes a public health risk to other states through international spread and may require a coordinated international response. The WHO Director-General determines it, after advice from an emergency committee.
Does Health Nexus issue outbreak alerts?
No. Alerts and notifications come from national public health authorities, IHR National Focal Points and WHO. Health Nexus prepares evidence those bodies can examine under their own procedures.
Are outbreak models predictions?
Models are usually scenarios: they show what could happen under stated assumptions. Short-term forecasts are labelled as such and carry uncertainty ranges. Neither is a statement of what will happen.
Why do early estimates change so much?
Early data is sparse, delayed and biased towards severe cases. As testing expands and studies report, estimates of transmissibility and severity are revised, which is expected and should be communicated openly.
Does Health Nexus publish outbreak alerts?
No. Alerts and public health guidance come from competent health authorities. Health Nexus publishes reviewed research and methods.
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