Smarter Dengue Early Warning System
This overview was generated with AI from the public sources listed below 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.
1 sourced claim on this page, none individually verified yet — turn on “Sources in the text” to see each one.
How this atlas is made · What “last verified” means · What “source-checked” means · The full record behind this page
A camera-equipped mosquito trap in Cauayan reads dengue-carrier eggs with 99.5% accuracy in peer-reviewed tests. It's a validated pilot so far, not yet a citywide warning system.
what does this mean?
The strongest source behind this entry is an independent peer-reviewed or academic study. It grades who did the looking — not how well the project went. All four grades →Part of 1001 Smart Cities — 1,167 documented projects · 🏙️ 1 more in Cauayan City · 🛡️ Safety & security guide · 👥 Society projects
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.
📊 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.
Sources
Show your work What this page rests on and what it can’t tell you · all 1 claims with their sources · the forensic record
Evidence Passport · public beta 1 addressable claim, 4 source dossiers, one permanent baseline. The passport is unreviewed — an AI-assisted structural migration, not a human or expert endorsement. Every revision keeps a permanent copy under revision history.
Inspect the claims, one by one — verbatim text, sources and caveats for all 1
The text below is copied verbatim from the published record. Each claim names the source dossiers that carry it; caveats stay attached to the claim they qualify.
clm-6e2ce77543debf68
quantitative
the device's CNN detects and counts Aedes aegypti eggs with 99.5% accuracy in field testing
Sources carrying this claim
Forensic record — source dossiers, gaps, hashes and the exact revision this page renders
This layer records what is known about each source, what is still missing, and the exact snapshot this page is rendering. A missing date, archive or hash stays visible as missing.
Awaiting operator and domain-expert review; publication of this revision implies neither.
sha256:f93a4c73d17b2d024f967f8e7d7d548757057cf2fb62f77df5b0589da4f6e5b4
- 1
- of 1 claims mapped
- 4
- source dossiers
- 1
- publication dates recorded
- 1
- archives linked
- 0
- exact locators
- 0
- content captures hashed
Governance facts carried by the record
- Operator
- Cauayan City LGU, with Isabela State University and the Department of Science and Technology-PCHRD (Smarter City Project)
- Actor types
- city-government, research, national-government
- Funding model
- grant
- Funding description
- Not recorded
- Cost
- Not recorded
- Ownership
- Not recorded
- Decision rights
- Not recorded
- Exit conditions
- Not recorded
4 source dossiers
Philippine Council for Health Research and Development (authority)
- Stable source ID
src-a9c04785dc926231- Publisher
- Name not classified · pchrd.dost.gov.ph
- Type / language
- web-page · language not classified
- Published
- Not recorded
- Updated
- Not recorded
- Source last checked
- No source-level check date
- Record last verified
- 2026-08-02
- Dossier created
- 2026-08-20
- Retrieved copy
- No local capture recorded
- Archive
- No archived copy linked
- Content hash
- No captured content hash
- Locator
- Descriptive only — not page/paragraph exact
Open the recorded source note
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.)
- Claims linked
- Background source; no baseline claim points here
Isabela State University - Cauayan Campus (authority)
- Stable source ID
src-8965c9344764c319- Publisher
- Name not classified · sdg.isucauayan.edu.ph
- Type / language
- web-page · language not classified
- Published
- Not recorded
- Updated
- Not recorded
- Source last checked
- No source-level check date
- Record last verified
- 2026-08-02
- Dossier created
- 2026-08-20
- Retrieved copy
- No local capture recorded
- Archive
- No archived copy linked
- Content hash
- No captured content hash
- Locator
- Descriptive only — not page/paragraph exact
Open the recorded source note
Confirms ISU's BIRD-C research unit built and publicly exhibited the C-DEWS prototype at the Handa Pilipinas disaster-risk-reduction exposition.
- Claims linked
- Background source; no baseline claim points here
Journal of Biodiversity & Environmental Sciences (peer-reviewed)
- Stable source ID
src-837630e241f2bab3- Publisher
- Name not classified · innspub.net
- Type / language
- pdf · language not classified
- Published
- 2025-05-04
- Updated
- Not recorded
- Source last checked
- No source-level check date
- Record last verified
- 2026-08-02
- Dossier created
- 2026-08-20
- Retrieved copy
- No local capture recorded
- Archive
- Open archived copy ↗ · 2025-04-15
- Content hash
- No captured content hash
- Locator
- Descriptive only — not page/paragraph exact
Open the recorded source note
'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.
- Claims linked
Hataw Tabloid (press)
- Stable source ID
src-a705ed72177bfb58- Publisher
- Name not classified · hatawtabloid.com
- Type / language
- web-page · language not classified
- Published
- Not recorded
- Updated
- Not recorded
- Source last checked
- No source-level check date
- Record last verified
- 2026-08-02
- Dossier created
- 2026-08-20
- Retrieved copy
- No local capture recorded
- Archive
- No archived copy linked
- Content hash
- No captured content hash
- Locator
- Descriptive only — not page/paragraph exact
Open the recorded source note
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.
- Claims linked
- Background source; no baseline claim points here
Known limits of this passport
- Publisher names and source languages have not yet been classified; domains are recorded without guessing.
- Existing source notes are descriptive locators, not page- or paragraph-exact citations.
- A missing archive, publication date or content hash is shown as null rather than inferred.
- The project-level evidence grade ranks the strongest source in the entry; it is not a truth score for every claim.
Continue exploring
Compare this project
Explore the wider context
📎 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.