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Infectious Disease Early Warning

An early detection system for infectious diseases, integrating data from outpatient clinics, hospitals, ambulance transport, pharmacies, schools, nursery schools, and elderly care facilities across Japan.

Explore the System
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Multi-Channel Data

Eight surveillance channels including outpatient, inpatient, ambulance, OTC pharmacy, nursery school, school absenteeism, elderly facilities, and laboratory testing.

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Early Detection

Syndromic surveillance identifies unusual patterns before laboratory confirmation, enabling faster public health responses to emerging outbreaks.

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Event Monitoring

Enhanced surveillance was conducted at major mass gatherings including the Hokkaido Toyako Summit 2008, APEC Yokohama 2010, and COP10 Nagoya 2010.

How Syndromic Surveillance Works

Syndromic surveillance monitors health-related data in near real-time to detect signals of infectious disease outbreaks before conventional diagnosis-based systems. By tracking symptoms and proxy indicators — such as school absenteeism, pharmacy dispensing, and ambulance transports — public health authorities can identify anomalies and respond earlier.

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Surveillance Channels

Syndromic surveillance in Japan draws on a broad range of data sources, each contributing a distinct signal for outbreak detection. These channels collectively provide a comprehensive picture of community health status, from clinical settings to everyday community indicators.

  • Outpatient (外来) — clinic visit symptom data
  • Inpatient (入院) — hospital admission surveillance
  • Ambulance Transport (救急車搬送) — emergency call patterns
  • OTC Pharmacy (OTC) — over-the-counter medication sales
  • Nursery School (保育園) — preschool absenteeism tracking
  • School Absenteeism (学校欠席) — nationwide school-based system
  • Elderly Facilities (高齢者施設) — care-home health monitoring
  • Laboratory Testing (検査) — test-ordering pattern analysis
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School Absenteeism System

As of January 2016, approximately 23,618 schools across 25 prefectures, 6 designated cities, and 2 special wards — covering about 53% of elementary, junior high, and high schools nationwide.

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Pharmacy Surveillance

Daily influenza estimates derived from anti-influenza drug dispensing data across 10,064 participating pharmacies, with prefecture-level and designated-city breakdowns from the 2009/2010 through 2014/2015 seasons.

Using ambulance data to assess festival security in Australia

Large festivals create a concentrated, fast-changing environment in which a minor injury can become a serious incident within minutes. Crowds move between stages, transport hubs, food areas and licensed venues, while heat, alcohol, fatigue and uneven ground increase the likelihood of falls, collisions and other trauma. Ambulance dispatch records provide a practical way to observe what is happening across the event footprint. Learn more about Detecting Rubella Outbreaks Through Rash And Fever Reports In University Health Centers.

Used carefully, these records can help organisers and public-health teams assess whether event security is reducing harm and enabling rapid care. Dispatch time, location, injury category and patient volume can be compared with crowd density, programming, weather and security activity. The result is a near-real-time view of operational safety rather than a simple count of police or medical staff on site.

Why ambulance dispatch data matters at festivals

A festival security plan usually contains visible measures: bag checks, barriers, guards, police patrols, first-aid posts and controlled entry points. These measures are important, but their success is difficult to judge from deployment numbers alone. Ambulance demand shows where people are being injured, how frequently incidents occur and whether emergency services can reach patients promptly.

For trauma surveillance, the most useful timestamps are generally the time a call is received, the dispatch time, the ambulance’s arrival at the scene and the time the patient leaves for hospital. A short dispatch interval indicates how quickly the system allocated a crew. A longer interval between dispatch and arrival may point to blocked access routes, crowd congestion, poor location information or a shortage of available units.

The data should be treated as an operational signal, not a perfect measure of all injuries. Many people with minor cuts, sprains or dehydration visit an on-site medical tent, contact a friend or simply go home. Ambulance records therefore represent serious or concerning incidents that reached Triple Zero or another clinical pathway. Changes in reporting behaviour can influence the figures as much as changes in safety.

Turning dispatch records into a useful safety indicator

A reliable evaluation begins before the gates open. Organisers can define the festival area using a digital map, divide it into zones and record the locations of stages, bars, food vendors, transport exits, temporary structures and medical posts. Ambulance calls can then be grouped by zone, hour, injury type and response interval without exposing identifiable patient information.

Raw counts need context. A festival with 80,000 attendees will naturally generate more ambulance activity than a small community event. Useful measures include trauma incidents per 10,000 attendees, serious cases per operating hour, median dispatch-to-arrival time and the percentage of calls reached within an agreed target. Comparing these measures with a similar event, the same festival in a previous year or a matched non-event period makes the assessment more meaningful.

Security effectiveness should be examined across several signals. A fall in crowd-related collisions near a barrier may suggest that stewarding and pedestrian design are working. A reduction in assaults around a licensed area may indicate effective venue controls. However, if injuries shift to a poorly monitored exit, the overall risk has not disappeared. Mapping the whole event helps distinguish genuine prevention from displacement.

The approach also benefits from linking ambulance data with non-emergency information. On-site treatment logs, hospital presentations, security incident reports, transport disruptions and weather observations can reveal patterns that dispatch records miss. This is consistent with syndromic surveillance, where multiple streams are combined to identify an emerging problem before formal diagnostic confirmation.

Timing patterns can reveal pressure points

Time is often more informative than the daily total. Trauma calls may rise after gates open, during a headline performance, immediately after alcohol service peaks or when crowds leave at the end of the night. A sudden increase in dispatches over a short interval can indicate crowd compression, a fight, a structural issue or a hazard such as broken glass and slippery flooring.

Comparing event time with ambulance movement allows teams to separate clinical demand from access problems. If several calls are dispatched promptly but crews take longer to reach the scene, the issue may be a congested internal road or a gate that has been closed for crowd control. If dispatch itself is delayed, the event control room may lack enough information, call takers may be overloaded or available crews may already be committed elsewhere.

Australian conditions make these patterns particularly important. A summer festival in Sydney or Brisbane may face heat stress and sudden storms, while a Melbourne event can move from mild weather to cold rain within hours. At a Perth or regional Western Australian festival, long travel distances and limited ambulance availability can make a single serious incident affect response capacity across the wider area.

A practical dashboard can show hourly trauma calls, median response intervals, high-risk locations and the number of available crews. It should use thresholds agreed before the event, so that decisions are not based on panic or hindsight. A sustained rise above the baseline might trigger extra patrols, a temporary pause in alcohol service, changes to pedestrian flow or a request for additional medical resources.

Combining trauma signals with broader surveillance

Ambulance dispatch is strongest when it sits within a wider monitoring network. Clinics and event medical stations may identify clusters of vomiting, heat illness or minor injuries before ambulance demand rises. Pharmacies can provide indirect information about people seeking treatment after leaving the venue. The same principle is used in combined clinic and pharmacy signals, where separate indicators can strengthen early detection.

Trauma monitoring can also be paired with security intelligence. Reports of aggressive behaviour, crowd surges, missing people, drug-related concerns and unsafe queues provide explanatory detail for ambulance activity. A dispatch spike near a stage may reflect a crush, but it could also result from a medical emergency that caused people to gather. Context prevents the response team from applying the wrong intervention.

The system should distinguish suspected trauma from other emergency categories. Ambulance coding may include falls, assaults, vehicle incidents, burns, lacerations and blunt-force injuries, while heat illness or intoxication may overlap with trauma. Clear case definitions allow analysts to compare events consistently. They should also record whether an incident occurred inside the controlled venue, in a queue, at a transport interchange or in surrounding streets.

Privacy safeguards are essential. Organisers generally need aggregated counts, time bands and zones rather than names, exact addresses or clinical histories. Small-cell suppression can prevent the identification of individuals in low-volume areas. Access should be limited to authorised public-health, emergency-service and event-safety personnel, with retention periods defined before data collection begins.

Learning from event-to-event comparisons

An evaluation becomes useful when it produces a specific operational lesson. If dispatch delays repeatedly occur at a narrow service road, the next festival may need a dedicated emergency lane and a marshal positioned at each access point. If injuries cluster near temporary seating, better lighting, flooring or barrier design may have a greater effect than adding more patrols.

Comparisons must account for changing attendance, venue layout, weather, performer popularity and alcohol policy. A new festival footprint can make a zone appear safer simply because fewer people pass through it. Attendance estimates should be checked against ticket scans, transport counts or credible crowd estimates. When exact denominators are unavailable, analysts should clearly label the results as approximate.

Schools and youth programs may be relevant when a festival includes family activities or is held near education facilities. Routine school surveillance resources can provide background information about absenteeism and circulating illness, although school data should never be treated as a direct measure of festival trauma. It can help identify a wider health context, such as respiratory illness affecting staffing or a local outbreak influencing attendance.

The same framework can support major international events in Australia. A public-health operations centre may monitor ambulance activity, emergency department presentations, pharmacy purchases, reports from aged-care services and school notifications across several cities. This broader view is useful when events span multiple venues, attract overseas visitors or place unusual demand on state health systems.

Building a fair and repeatable evaluation

A sound review should begin with a baseline and end with documented actions. Before the event, teams can record expected attendance, venue capacity, planned medical posts, ambulance staging points, security staffing and target response times. During the event, they can capture dispatch and arrival timestamps, zone, apparent injury mechanism, patient disposition and any access obstruction.

Afterwards, analysts should review both central tendencies and unusual cases. Median response time may look acceptable while a small number of severe incidents experience dangerous delays. Percentiles, such as the 90th or 95th percentile, show the effect of the worst operating conditions. A map of incidents overlaid with crowd density and security coverage can expose risks that an average conceals.

Evaluation should include frontline accounts. Paramedics may know that a location code was confusing, a gate was repeatedly blocked or radio instructions changed during a crowd movement. Security supervisors can explain patrol gaps, while first-aid staff can identify injuries that never entered the ambulance system. Combining these observations with timestamped data creates a more accurate explanation of what happened.

The final report should separate findings from assumptions. It can state that response times increased near a particular exit, that assaults fell after a licensing control was introduced or that heat-related illness rose during an afternoon temperature peak. It should avoid claiming that one intervention caused every change unless the design supports that conclusion. Transparent limitations make the findings more credible for councils, state agencies, promoters and emergency services.

Event organisers can begin by agreeing on common definitions with their local ambulance service, public-health unit and police liaison. Set up a privacy-conscious dashboard, test location codes before opening, and establish thresholds for operational action. After each festival, turn the evidence into practical changes to access routes, staffing, crowd movement and medical coverage so that the next event is safer by design.

Technical Support

For inquiries about the syndromic surveillance systems, including the school absenteeism information collection system and pharmacy surveillance:

Contact: Yasushi Ohkusa, Senior Researcher

Institution: Infectious Disease Epidemiology Center, National Institute of Infectious Diseases

FAX: 03-5285-1129

Email: ohkusa@nih.go.jp

All inquiries accepted by FAX or email only. For school absenteeism system login issues, please contact your municipal board of education or childcare division.