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Smarter Dengue Early Warning System

Cauayan's Project C-DEWS pairs IoT ovicidal-larvicidal mosquito traps with a smart camera and CNN that detects and counts Aedes aegypti eggs, developed with Isabela State University under a DOST-PCHRD research grant that began 1 June 2021. Field-tested traps feed data to the City Health Office, and the project was a top-50 global finalist in the 2025 Bloomberg Global Mayors Challenge for its dengue public-health work. It remains a validated field pilot rather than a citywide early-warning system.

Live 📅 since 2021 🤖 Uses AI

🤖 AI-generated summary of the sources below — how this works · 🔎 Last verified 2026-08-02

👥 Society Safety & security Sensors & IoT Artificial intelligence

📊 Impact

A peer-reviewed 2025 study (Journal of Biodiversity & Environmental Sciences) found the device's CNN detects and counts Aedes aegypti eggs with 99.5% accuracy in field testing; no citywide dengue-case reduction figures have been published.

🎓 Lesson

A validated 99.5%-accurate sensor is not yet a warning system: the project's own funder lists it at Technology Readiness Level 5 — field-tested, not scaled to the whole city.

Evidence🔬 Peer-reviewed

Scale🧪 Pilot

📖 Terms in this entry: Adaptive traffic signals · ANPR (automatic number-plate recognition) · CBTC (communications-based train control)

Sources

↗ Philippine Council for Health Research and Development (authority)DOST-PCHRD funded the project starting 1 June 2021, a collaboration between the Cauayan LGU, Isabela State University and DOST under the Smarter City Project. (Site returned 503 to automated fetch at review time; content confirmed via search-index cache and cross-referenced by ISU and press coverage below.)

↗ Isabela State University - Cauayan Campus (authority)Confirms ISU's BIRD-C research unit built and publicly exhibited the C-DEWS prototype at the Handa Pilipinas disaster-risk-reduction exposition.

↗ Journal of Biodiversity & Environmental Sciences (peer-reviewed)'The Convolution Neural Network (CNN) associated with the device achieves an outstanding 99.5% success rate for detecting and counting Aedes aegypti eggs.' Describes field deployment in Cauayan City integrated with City Health Office data; published March 2025.

↗ Hataw Tabloid (press)Reports Cauayan as one of three Philippine cities (with Pasig and Naga) among 50 global finalists in the 2025 Bloomberg Philanthropies Global Mayors Challenge, cited for its dengue public-health programme.

This overview was generated with AI from the public sources listed above and checked against them before publication. It has not had a complete human fact-check — treat it as a starting point and follow the sources.

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Compare this project

🇵🇭 Drone-Based 3D Digital Twin · Cauayan City Cauayan's other project: this drone-built 3D twin assesses typhoon damage; its dengue trap instead reads mosquito eggs at 99.5% accuracy. 🇮🇩 Court-Ordered Air Quality Monitoring · Jakarta Both measure without yet triggering citywide action: Jakarta's 111 stations feed an index with no legal threshold; C-DEWS is still TRL 5. 🇹🇭 Bangkok's Municipal CCTV Network · Bangkok Related through Sensors & IoT.

Explore the wider context

📟 A Reading Is Not a Decision 🛡️ Safety & security guide 🏙️ Cauayan City city profile 👥 Society projects

📎 Cite this project

1001 Smart Cities (2026). “Smarter Dengue Early Warning System” — Cauayan City, Philippines. The Smart City Atlas. https://1001smartcities.org/projects/cauayan-dengue-warning/ (last verified 2026-08-02). Data: CC BY 4.0.

The underlying data is free to reuse with attribution — see the open data page.

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