Permanent project revision

Smarter Dengue Early Warning System

Revision 2026-08-20-source-dates · effective 2026-08-02

Current revision. This is the snapshot used by the live entity page.

unreviewed

Created the first structured Evidence Passport with 1 claim and 4 source dossiers.

sha256:f93a4c73d17b2d024f967f8e7d7d548757057cf2fb62f77df5b0589da4f6e5b4

Change set

  • add /evidencePassport — Added claim-level evidence mapping and source dossiers.
  • add /revisionHistory — Established a permanent, hash-addressed baseline revision.
1
of 1 claims mapped
4
source dossiers
1
publication dates recorded
1
archives linked
0
exact locators
0
content captures hashed

Claims, one by one

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.

Claim 1 clm-6e2ce77543debf68 quantitative
the device's CNN detects and counts Aedes aegypti eggs with 99.5% accuracy in field testing
Published field
impact · verbatim
Mapping
mapped · no interpretation or interpolation added by this passport
What the mapping says
A peer-reviewed 2025 study in the journal reports the CNN's field-tested detection accuracy.
Caveat
No citywide dengue-case reduction figures have been published, and the funder lists the project at Technology Readiness Level 5 — field-tested, not scaled to the whole city.

Sources carrying this claim

  1. Journal of Biodiversity & Environmental Sciences (peer-reviewed)

Source dossiers and revision state

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.

unreviewed Revision 2026-08-20-source-dates effective 2026-08-02 · created 2026-08-20

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) pchrd.dost.gov.ph · background

Open original source ↗

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
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.)

Descriptive only — not page/paragraph exact
Claims linked
Background source; no baseline claim points here
Isabela State University - Cauayan Campus (authority) sdg.isucauayan.edu.ph · background

Open original source ↗

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
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.

Descriptive only — not page/paragraph exact
Claims linked
Background source; no baseline claim points here
Journal of Biodiversity & Environmental Sciences (peer-reviewed) innspub.net · 1 linked claim

Open original source ↗

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
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.

Descriptive only — not page/paragraph exact
Hataw Tabloid (press) hatawtabloid.com · background

Open original source ↗

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
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.

Descriptive only — not page/paragraph exact
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.