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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
Abstract map of Japan divided into prefectural regions, shaded in a gradient from pale gray through amber to deep red, indicating surveillance coverage intensity
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.

Plasma leakage signals for severe dengue surveillance in Australian EDs

Dengue has quietly become one of the more consequential travel-associated infections seen across Australian emergency departments. Each year, hundreds of Australians return from Southeast Asia and the Pacific with fever, and a small but persistent fraction progress to severe dengue. With Aedes aegypti mosquitoes established in parts of far north Queensland and climate models projecting their range southward, the boundary between imported and locally acquired cases is steadily thinning. Emergency clinicians in Cairns, Townsville, Brisbane, Sydney, Melbourne and Perth meet these patients regularly, particularly after school holidays and long weekends when travel to Bali or Thailand spikes.

Plasma leakage sits at the centre of why severe dengue becomes life-threatening. Around the time fever defervesces, capillaries begin leaking fluid into pleural spaces, the peritoneum and soft tissue. Hematocrit rises, pulse pressure narrows, albumin drops and patients can shift from uncomfortable to shocked within hours. This window is where emergency care saves lives, and it is also the window where a well-designed surveillance signal could warn the broader system that something unusual is happening.

That is where syndromic surveillance earns its role. By gathering structured indicators from emergency triage notes, early pathology results and administrative coding before laboratory confirmation lands, an effective system can flag clusters of severe dengue days ahead of formal notification routes. Australia already operates a sophisticated multi-channel surveillance infrastructure, and plasma leakage indicators are a natural extension of how that system is built.

Why plasma leakage marks the dangerous phase

The clinical narrative of severe dengue follows a recognisable cadence. After three to seven days of high fever, body aches and often a rash, the patient begins to feel better but the blood vessels start to leak. Serum albumin falls, hematocrit climbs in the absence of bleeding, and pleural effusions or ascites become visible on imaging. Blood pressure may still be readable, yet pulse pressure narrows and the patient complains of dizziness when sitting up. This is the critical phase that the World Health Organization's 2009 classification was designed to highlight, and it is the phase that reliably drives emergency presentations.

For clinicians working in tropical Australian emergency departments, recognising the transition matters because resuscitation decisions made in that window determine outcomes. A patient who looks well at triage can deteriorate during the four-hour wait for blood results. Building any surveillance signal around plasma leakage indicators essentially means encoding that clinical narrative into a daily report that can be shared across hospitals and public health units.

Recognising plasma leakage at the front door

Emergency departments across Australia routinely capture data that a plasma leakage-oriented surveillance system needs. Triage nurses record vital signs including blood pressure and pulse pressure; early pathology delivers hematocrit and albumin within hours; structured discharge coding captures principal diagnosis. A patient arriving with fever returning from Bali, hematocrit of 52 percent, falling albumin and a narrowing pulse pressure reads differently on a surveillance dashboard than a generic febrile traveller.

The challenge is assembling these fragments into a coherent signal. Most emergency information systems do not currently flag the combination of returning traveller, rising hematocrit and dropping albumin automatically. Public health units in Queensland, New South Wales and Western Australia have begun working with hospital data teams to map these indicators onto syndrome definitions that can be queried electronically. The same logic that supports influenza-like illness surveillance can be extended to a dengue-specific syndrome defined around plasma leakage.

Designing a case definition that actually works

A workable case definition has to balance sensitivity with practicality. Fever plus thrombocytopenia plus hematocrit rise plus recent overseas travel captures many severe cases, but it also pulls in other conditions, particularly in adults with comorbidities. Adding plasma leakage proxies, such as ultrasound-detected ascites or pleural effusion, low albumin or a rising hematocrit trend across two readings, narrows the signal while raising data demands.

Realistic definitions tend to be tiered. A broad syndrome catches any emergency presentation with dengue-suggestive features, while a narrower severe dengue syndrome specifically targets the plasma leakage phase. Australian public health practitioners have argued for tiered definitions across mosquito-borne diseases because they let analysts scale their response to the strength of the signal. The narrower tier feeds clinical alerts; the broader tier supports situational awareness across regions.

Australia's dengue landscape and the case for stronger signals

Australian conditions make dengue surveillance unusually demanding. Aedes aegypti populations persist in parts of far north Queensland, particularly around Cairns and Townsville, where local transmission occurs in warmer months and small outbreaks have happened in recent years. Outside that range almost all cases are imported, with travel to Indonesia, especially Bali, Thailand, the Philippines and Pacific islands responsible for most notifications received by state health authorities.

Public health legislation supports response to dengue in every jurisdiction, although the day-to-day machinery differs across states. Queensland's Public Health Act 2005, the New South Wales Public Health Act 2010 and similar statutes elsewhere require clinicians and laboratories to notify confirmed cases, and the Commonwealth's Biosecurity Act 2015 governs human biosecurity at the national border. None of these frameworks have caught up to the speed of clinical deterioration in severe dengue, which is precisely the gap a plasma leakage syndromic signal could fill.

The national architecture for syndromic surveillance already exists and is well documented across the collaborative network that brings together clinic, hospital, ambulance, pharmacy, school and laboratory data streams. Adding emergency department plasma leakage indicators to that mix is a logical extension rather than a redesign.

Layering emergency signals with pharmacy and school absence data

The value of any single data stream grows when it is combined with others. A rise in emergency department visits coded for severe dengue becomes more meaningful if it coincides with pharmacy sales of paracetamol suspension jumping in suburban Sydney, or with school absenteeism climbing in a Brisbane catchment. Each stream is noisy on its own, but together they triangulate an outbreak.

Australia already has functioning school absenteeism reporting that feeds state health authorities, and the same infrastructure backing school absence monitoring can be tuned to dengue-relevant syndromes. Pharmacy surveillance captures over-the-counter fever medication purchases, which is a useful early signal in communities with large migrant and traveller populations who self-manage early illness. Emergency departments sit at the higher-acuity end of that spectrum, catching the patients whose plasma leakage tipped them into needing urgent care.

Embedding the ED signal within a multi-channel framework changes how quickly public health teams respond. A cluster of severe dengue cases emerging from a returning tour group, for instance, becomes actionable for general practitioners, travel clinics and community educators, rather than sitting in a state-level notification queue.

Event-period intensification and cross-border coordination

Mass gatherings, whether major sporting fixtures, music festivals or religious events, place extra pressure on any surveillance system. When thousands of visitors arrive from dengue-endemic countries the local risk profile shifts even in cities well south of Aedes aegypti habitat. Queensland has experience hosting large international events, and the accompanying event-period arrangements routinely expand syndrome definitions, increase reporting frequency and pre-position clinical alerts.

During enhanced periods a plasma leakage-flavoured severe dengue indicator becomes especially valuable. Returning travellers who fall ill during or shortly after an event often present first to private clinics or hotel doctors rather than hospitals, but those whose illness progresses tend to arrive at emergency departments with the full plasma leakage picture already established. Tying enhanced surveillance into the existing multi-channel architecture allows rapid signal validation without spinning up a parallel reporting system.

Practical steps for departments and public health units

  • Map current emergency information systems against the data items required for a plasma leakage case definition: hematocrit trends, albumin, imaging-confirmed effusions, recent travel and serial vital signs.
  • Adopt a tiered syndrome, with a broad dengue-suggestive category and a narrower severe dengue category targeting the critical phase.
  • Integrate emergency department, pharmacy and school absence data streams so any signal can be cross-checked before action.
  • Pre-build response protocols for outbreaks linked to mass events, including triage alerts and clinical guidance updates circulated before gatherings begin.
  • Brief emergency clinicians on the value of structured documentation, since triage notes feed the signal directly and free-text variation can dampen sensitivity.

Public health units, emergency department directors and clinical informatics teams across Australia have the building blocks to take this seriously. The clinical threat from severe dengue is modest in absolute terms but consistent, and the surveillance infrastructure to address it is already largely in place. Adopting plasma leakage indicators as a recognised syndromic signal would let the system catch severe cases sooner, prepare frontline clinicians earlier and respond to clusters of imported or local dengue with the speed that the critical phase of illness demands.

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.