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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.

Breathing calls, pollution alerts and earlier asthma warnings

Syndromic surveillance identifies unusual patterns in health symptoms before laboratory confirmation provides a final answer. Monitoring ambulance calls for difficulty breathing can help detect asthma exacerbations related to air pollution when dispatch information is joined with near-real-time air-quality observations. The purpose is not to diagnose people from a call code; it is to reveal a rise in acute respiratory distress that may justify earlier investigation.

For Australian public-health teams, this approach could connect 000 and 112 ambulance demand, reliever-medicine dispensing, emergency presentations and pollution forecasts into a coordinated warning system. It could give respiratory and environmental teams more time to issue advice, support high-risk communities and check whether an apparent surge is genuine while hospital, pathology and pollution investigations remain under way.

Why air pollution changes asthma risk

Fine particles such as PM2.5 irritate the airways, while nitrogen dioxide can increase airway inflammation. Ground-level ozone is another important trigger because it reduces lung function and makes breathing harder, particularly in children, older adults and people with existing asthma. Short, severe exposure peaks can produce more emergency symptoms than lower concentrations sustained over many days.

Australian cities regularly face these hazards. Bushfire smoke affects Melbourne, Sydney and regional communities, while Sydney and Melbourne also experience ozone events during hot, still weather. Air pollution can be uneven across a metropolitan area, so neighbourhood-level patterns may reveal respiratory risk that a city-wide average conceals.

Asthma exacerbation is only one possible explanation for a breathing-related emergency. Respiratory infections, chronic obstructive pulmonary disease, heart failure, heat and anxiety can produce similar calls. Ambulance data therefore need corroboration from clinical, medication, absenteeism and environmental indicators before a pollution-related outbreak is inferred.

Turning ambulance calls into an early signal

Ambulance dispatch records can provide timestamps, locations, patient ages, presenting complaints and paramedic impressions. Useful fields might include calls mentioning breathlessness, wheeze, asthma, rescue inhaler use or respiratory distress. Geocoding calls to postcode or mesh area allows analysts to compare affected locations with nearby air-quality stations, satellite observations and smoke forecasts.

A surveillance system would monitor both the number of relevant calls and their proportion of total ambulance activity. Seasonal baselines matter because respiratory demand changes with weather, influenza activity and school calendars. Sudden increases, clusters in the same neighbourhoods or repeated calls involving reliever inhaler use can be more informative than a single unusual dispatch.

Every signal requires clinical validation. A rise in breathing calls could reflect a change in ambulance coverage, dispatch terminology, coding practices or access to primary care. Analysts should compare several years of data where possible, test whether changes persist after adjustment, and distinguish a genuine increase from random variation. Alert thresholds should be set through historical testing rather than chosen without evidence.

Linking emergency and environmental data

Environmental linkage should reflect both place and time. A useful analysis considers the number of hours since exposure, whether a patient lives near a road, industrial area or fire-affected zone, and whether pollution levels crossed a health-relevant threshold. Calls following unusually high PM2.5, ozone or nitrogen dioxide readings form a temporal association, but they do not by themselves prove pollution caused the illness.

Weather conditions, pollen, viral respiratory activity and emergency department capacity should be included as contextual factors. Where station coverage is sparse, satellite data and modelled air quality can fill some gaps, although they are less precise at street level. Public-health teams should document how missing observations, delayed ambulance records and changes in surveillance coverage affect the results.

A layered trigger can reduce false alarms. One abnormal indicator may prompt a data check, while two independent indicators—such as ambulance activity and pharmacy demand—can support an enhanced monitoring response. A third source, combined with severe environmental conditions or a sharp rise in emergency presentations, can justify earlier public communication. Thresholds should be recalibrated as the system learns which combinations predict genuine increases in asthma-related illness.

Lessons from Japan’s multi-channel network

Japan’s syndromic surveillance illustrates how several symptom streams can be combined for early warning. Information from clinics, hospitals, ambulances, pharmacies, schools, elderly-care facilities and laboratories creates a broader picture than any single service. This multi-channel approach is particularly valuable when laboratory confirmation would take additional time.

University-based reporting offers another useful example. The approach described in rash and fever reports shows how early symptoms from campus health centres can reveal a possible outbreak before every infection is laboratory confirmed. Similar logic applies to respiratory illness, provided the reporting definition, participating population and expected background rate are clear.

Japan has also expanded monitoring around major international events, when visitor numbers, indoor crowding and pressure on health services can alter normal patterns. Australian authorities could apply the same principle around large sporting events, festivals and mass gatherings, using pre-event baselines and temporary reporting arrangements. Local adaptation remains essential because Australia’s geography, health-system structure, pollution sources and ambulance organisations differ from those in Japan.

Building the system for Australia

Australia’s health surveillance is distributed across state and territory systems, so a national framework needs common definitions without assuming that every jurisdiction records data identically. Ambulance services, public health units, pharmacies, hospitals and environmental agencies must agree on identifiers, time zones, geographic boundaries and escalation pathways. Starting with one jurisdiction can be more effective than creating a broad platform before data quality and responsibilities are tested.

Environmental information is already available through AirHealth, state environment departments and local monitoring networks. Services such as Environment Victoria and the NSW Department of Planning and Environment issue forecasts and health advice during smoke events, while Queensland publishes air-quality information through its state systems. These feeds can be combined with ambulance and hospital data, but only after analysts understand each product’s resolution, update schedule and quality controls.

Pharmacy reporting can add a near-real-time view of treatment-seeking behaviour. The use of over-the-counter fever medication as an early indicator is illustrated by fever medication sales. In Australia, community pharmacies can contribute information about reliever inhaler supplies, including salbutamol requests or collections, subject to state rules and prescribing arrangements. The Pharmaceutical Benefits Scheme provides a reference for prescription-based supplies, while unscripted pharmacist supplies should be identified separately so stock shortages or policy changes are not mistaken for disease activity.

Remote and regional communities require particular attention because smoke may travel far from its source and local ambulance services have limited capacity. Pharmacy access, travel distance and delayed primary care can affect when symptoms receive attention. Aboriginal communities, respiratory groups and local clinicians should help define meaningful geographic areas, reporting thresholds and culturally appropriate health messages.

Practical signals for a pilot

A pilot should test the complete pathway rather than produce an alert without a response. One metropolitan area could link ambulance calls, emergency presentations, pharmacy indicators, absenteeism and environmental observations for an initial 90-day period. The following operational measures would form its core:

  • Rolling counts and proportions of ambulance calls involving breathing difficulty, wheeze or reliever inhaler use
  • Emergency department visits with asthma or respiratory-distress classifications, adjusted for total attendance
  • Requests and collections of reliever medicines, interpreted alongside prescription and supply data
  • PM2.5, ozone and nitrogen dioxide readings linked to patient location, exposure timing and relevant weather conditions

Response thresholds should reflect both evidence and urgency. A staged approach gives teams time to verify unusual data before issuing advice:

  • A single-source anomaly prompts an immediate data-quality and clinical review
  • Two concordant sources trigger enhanced monitoring and targeted preparation by health services
  • Multiple sources, severe pollution and worsening clinical severity support urgent public warnings and resource checks

Each alert should record the observations that produced it, the agencies consulted and the action taken. False positives and missed events should be reviewed regularly, with analysts checking whether alerts were timely and whether the public message matched the available evidence. Privacy controls should suppress small numbers, restrict identifiable access and separate operational data from public reporting. Community input should also be collected on whether advice reached people with limited internet access, language barriers or high smoke exposure.

From warning to public health action

An effective surveillance system must connect detection with a pre-agreed response. When respiratory indicators rise, the responsible team can confirm the signal, notify respiratory clinicians and environmental officers, and prepare concise advice for schools, pharmacies and community groups. Messages might recommend checking medication plans, reducing outdoor activity during severe pollution and seeking urgent care for worsening breathing. Hospitals can use the same information to review staffing and oxygen supply.

The immediate call to action is to establish a cross-agency pilot with one accountable lead from public health, ambulance operations, environmental monitoring and pharmacy practice. The team should define its data-sharing agreement, baseline period, alert thresholds and evaluation measures before the first smoke or ozone episode. Start the pilot, assign responsibility for every alert and publish an aggregate monthly account of signals, responses and lessons for participating jurisdictions.

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.