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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.

Pharmacy Sales as an Early Signal in Aged Care

Gastrointestinal illness can spread quickly through a residential aged care home, particularly when residents share dining areas, facilities and close-contact care. Vomiting, diarrhoea and dehydration may become apparent before laboratory results identify the pathogen, while staff absences and disrupted meal services can complicate the picture. Early warning is therefore essential for protecting residents, visitors and the wider community. Learn more about How To Interpret Syndromic Trend Charts For Local Public Health Teams.

Monitoring pharmacy sales of anti-diarrheal medications as a proxy for gastrointestinal illness in residential aged care can reveal activity before diagnoses are confirmed. The measure is indirect rather than conclusive, but it becomes more useful when interpreted alongside clinical, ambulance, laboratory and facility-level information. This approach supports the multi-channel model used for syndromic surveillance.

Why Medication Purchases Matter

Older residents may develop dehydration and other complications more quickly than younger adults. A cluster of gastrointestinal symptoms can also affect carers and relatives, extending beyond the original facility. Prompt notification allows infection prevention staff to review cleaning, isolation, meal management and personal protective equipment before transmission accelerates.

People commonly purchase medicines for diarrhoea soon after symptoms begin, sometimes before they consult a general practitioner. Community pharmacies can therefore capture early treatment-seeking that does not appear in hospital admissions or pathology records. In a local outbreak, increased demand may precede formal notification by several days, giving public health teams valuable time to prepare.

A sales increase is not proof of an outbreak. Customers may be treating travellers’ diarrhoea, irritable bowel symptoms, medication side effects or unrelated digestive complaints. Severe cases may also produce fewer purchases because affected people are too unwell to visit a pharmacy. The signal works best as an early indication that warrants investigation, not as a stand-alone diagnosis.

Designing the Australian Pharmacy Dataset

Start with a precise product definition. The monitored basket might include loperamide, bismuth preparations and other over-the-counter gastrointestinal medicines sold for diarrhoea. Oral rehydration products can provide useful supporting information, but they should be reported separately because consumers may buy them for heat exposure, sports or other dehydration. Comparing units sold is generally more informative than comparing revenue, which changes when prices or product mix shift.

Australian data collection should reflect a mixed pharmacy market. Major chains such as Chemist Warehouse and Priceline operate numerous stores, while independent community pharmacies remain important in many suburbs and regional towns. Prescription claims through the Pharmaceutical Benefits Scheme may add information for subsidised products, although over-the-counter purchases generally sit outside that system. Agreements must establish how each source reports stock, sales date, store location, product code and any interruptions to supply.

Each participating store should be assigned to a stable geographic area, such as a postcode or statistical area, while facility addresses should not be disclosed to commercial pharmacy partners. The dataset needs clear rules for refunds, duplicate transactions, bulk purchases and delayed reporting. Data sharing agreements should also cover secure transfer, retention, access controls and suppression of small counts. A broader syndromic approach can place pharmacy information alongside clinics, hospitals, ambulances, schools, aged care facilities and laboratory testing without treating any one stream as the final word.

Separating Real Signals from Normal Variation

Monitoring should begin with a baseline that accounts for day of the week, season, holidays and local population size. Analysts can compare the latest period with previous weeks and the corresponding period in prior years, rather than relying on a simple month-to-month comparison. Thresholds should be set locally and reviewed as conditions change, especially where the number of participating stores is small.

Public-health teams can use interpreting trend charts to distinguish sustained changes from short-lived spikes. A rising line is more persuasive when it exceeds the expected range, persists across several reporting periods and affects multiple stores. A single-day increase may reflect a promotion, sudden heatwave-related demand or one store restocking after a supply interruption.

Promotional campaigns, price changes, stockouts and online purchasing can all distort the signal. School holidays, public holidays, cruise arrivals and major events may also alter who is living in an area. Sensitivity checks should compare sales with pharmacy consultations, over-the-counter medicine supply and the pattern of previous outbreaks. Analysts should record unusual events alongside the data so that future teams can interpret them consistently rather than repeatedly investigating the same benign causes.

Connecting Pharmacy Data to Aged Care Facilities

Pharmacy catchments do not align neatly with aged care services. A store in inner Melbourne or Sydney may serve residents from several facilities, while residents of a regional New South Wales town may use more than one pharmacy or rely on deliveries. Mapping sales locations against facility catchments helps identify possible overlap, but it does not show which residents or staff made a purchase.

Facility-level information is needed to complete the picture. Useful indicators include staff sick leave, increased use of nurse call systems, reduced meal participation, complaints from families, ambulance attendances, resident transfers to hospital and clusters of acute gastrointestinal presentations recorded by visiting general practitioners. Infection prevention staff can compare these signals with pharmacy activity while avoiding attempts to identify individual purchasers.

Aged care facilities should be engaged confidentially and early. Clear escalation pathways allow a pharmacist, public health unit or facility manager to report a concern without assuming that a sales anomaly belongs to a particular home. The process must align with Australian privacy obligations, state and territory health requirements and confidentiality provisions governing health information. Personal details should remain within the systems that need them, while public dashboards display only aggregated areas and sufficiently large counts.

Moving from Detection to Action

A verified signal should trigger a defined verification process rather than an automatic outbreak declaration. The response team can contact participating pharmacies to check supply and pricing, notify the relevant state or territory public health unit and approach nearby facilities through established infection prevention channels. Facilities can review recent symptom onset, staff absences, meal intake and cleaning records without disclosing commercial pharmacy data beyond the affected area.

If illness is confirmed, coordination may include testing, temporary cohorting, enhanced cleaning, appropriate protective equipment, meal adjustments and monitoring for dehydration. Aged care operators should work with public health authorities, while clinicians assess residents whose symptoms suggest severe dehydration, blood in the stool, persistent fever or other complications. Pharmacy staff can also direct symptomatic customers for appropriate assessment, particularly when anti-diarrhoeal medicines may be unsuitable.

Clear communication protects trust and reduces stigma. Australian families and staff may refer to the condition as a “gastro” or “tummy bug”, and plain-language advice should explain that gastrointestinal illness is common, treatable and not a reflection of poor care. Facilities with culturally and linguistically diverse residents may need translated information and updates for relatives. Infection prevention and control, clinical governance and consumer communication are also relevant requirements under the Aged Care Quality Standards.

Making the Signal Part of Routine Practice

A dependable program needs clear ownership, standard data formats and regular quality checks. Public health teams should document which products, stores and reporting periods are included, while pharmacies should have a simple way to flag promotions, outages or delayed uploads. Named contacts in public health units and aged care organisations help move an anomaly through verification without creating a separate reporting burden for every provider.

Performance should be evaluated through practical measures such as reporting timeliness, completeness, agreement between participating stores and the proportion of alerts reviewed within the agreed period. After-action reviews can reveal whether a signal was useful, even when no outbreak followed. Regular exercises with community pharmacies and aged care facilities can test communication pathways and clarify who has authority to request follow-up action.

Public health and aged care teams should establish cross-sector data agreements, agree on a shared product basket and designate operational contacts before the next gastrointestinal outbreak occurs. Pharmacy partners should begin supplying de-identified aggregate sales data, while public health units should prepare facilities to respond quickly. Combining this commercial signal with clinical and community-level surveillance gives Australia a faster, more coordinated way to recognise gastrointestinal illness in vulnerable settings.

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.