Publication2019
GeoFog4Health: a fog-based SDI framework for geospatial health big data analysis
- Good Health and Well-being
- Partnerships for the Goals
- Empowered Indians
The record
- Type
- Publication
- Date
- 14 February 2019
- Level
- International — held abroad
- Journal
- Journal of Ambient Intelligence and Humanized Computing
- Volume
- 10
- Issue
- 2
- Pages
- 551-567
- Published
- 14 February 2019
- DOI
- 10.1007/s12652-018-0702-x
- Scopus ID
- 85049570139
- ISSN
- 18685137
- Authors
- 5
- Open access
- No
- Citations
- 64
- International co-authorship
- Yes
- Co-author countries
- IN, US
Classification
Every label below carries the reasoning it was assigned on, the confidence band it was assigned in, and what produced it. The rubric is published.
UN Sustainable Development Goals
3.3 End the epidemics of AIDS, tuberculosis, malaria, neglected tropical diseases, hepatitis and water-borne diseases
Fog-based spatial data framework for geospatial health analytics demonstrates application to malaria vector surveillance and epidemiological mapping in India.
- High confidence
- The subject matter is a strong and direct inference from the record type, the funding or organising body, or the programme context, even where the title alone is thin. Example: an ICMR-funded project against SDG 3, on the strength of the agency.
- Judged
- Judged against the published classification rubric, under the rubric and prompt versions recorded with the run that produced it.
- Produced by
- claude-haiku-4-5-20251001, under kortex-publication-v1
17.6 Enhance North-South, South-South and triangular cooperation on science, technology and innovation, and knowledge sharing
Structural signal: co-authorship outside India.
- Rule-derived
- Emitted by a deterministic rule from structural signals rather than judged from the record’s text. The rule carries a version, so rule-derived and judged labels stay separable.
- Produced by
- sdg17-structural-v1, under kortex-publication-v1
Viksit Bharat @2047
vb-1 Empowered Indians
Derived through the seeded SDG-to-Viksit-Bharat crosswalk from the primary SDG 3 label. Fog-based spatial data framework for geospatial health analytics demonstrates application to malaria vector surveillance and epidemiological mapping in India.
- Produced by
- claude-haiku-4-5-20251001, under kortex-publication-v1
Each label above carries the instrument and the version that produced it. How each classification is reached.
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- Source rows resolved into this record
- 1
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Citing this record
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KIIT Deemed to be University. “GeoFog4Health: a fog-based SDI framework for geospatial health big data analysis”. Kortex.