Publication2026
Analyzing the Impact of Social Network on Epidemiological Spread in the Healthcare Sector
- Good Health and Well-being
- Peace, Justice and Strong Institutions
- Empowered Indians
The record
- Type
- Publication
- Date
- 1 January 2026
- Level
- National
- Journal
- Machine Learning in Healthcare Data Driven Decisions Predictive Modelling Personalized Medicine
- Pages
- 409-430
- Published
- 1 January 2026
- DOI
- 10.1515/9783111541235-020
- Scopus ID
- 105028342369
- Authors
- 3
- Open access
- No
- Citations
- 0
- International co-authorship
- No
- Co-author countries
- IN
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 Ensure healthy lives and promote well-being for all at all ages
Complex network framework for disease spread analysis utilizing social network analytics enables early outbreak detection and targeted intervention in healthcare settings, improving epidemic surveillance and response.
- 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
16 Promote peaceful and inclusive societies for sustainable development, provide access to justice for all and build effective, accountable and inclusive institutions at all levels
Network-based disease tracking methodology supports governance and institutional accountability for healthcare surveillance and public health decision-making systems.
- Moderate confidence
- The alignment is plausible and defensible but rests on an assumption a reasonable reviewer could decline. Published, and surfaced in the review queue for a human to confirm or override.
- Produced by
- claude-haiku-4-5-20251001, 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. Complex network framework for disease spread analysis utilizing social network analytics enables early outbreak detection and targeted intervention in healthcare settings, improving epidemic surveillance and response.
- 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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- 1
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Citing this record
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KIIT Deemed to be University. “Analyzing the Impact of Social Network on Epidemiological Spread in the Healthcare Sector”. Kortex.