Evidence map›Paper›PMID 41063905›Full record

ArticleCureus2025

Geospatial Mapping of People Living With Diabetes and Hypertension in Urban Slums of Central Karnataka, India.

Shubha Davalgi, Shalini Hurlihal, Rajeev Palegar

Abstract read
In one paragraph

Article in Cureus, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Shubha DavalgiCommunity Medicine, Jagadguru Jayadeva Murugarajendra (JJM) Medical College, Davangere, IND.
Shalini HurlihalCommunity Medicine, Jagadguru Jayadeva Murugarajendra (JJM) Medical College, Davangere, IND.
Rajeev PalegarCommunity Medicine, Jagadguru Jayadeva Murugarajendra (JJM) Medical College, Davangere, IND.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDiabetes mellitus and hypertension continue to rise in India, particularly among socioeconomically disadvantaged urban slum populations. This study presents a geographic information system (GIS)-based approach to mapping the geospatial distribution and sociodemographic profile of affected individuals.

objectivesTo determine the geospatial distribution and sociodemographic characteristics of individuals living with diabetes mellitus and hypertension in urban slums of central Karnataka, India. METHODOLOGY: A community-based cross-sectional survey was conducted in the field practice areas of the Urban Health Training Centre, Jagadguru Jayadeva Murugarajendra (JJM) Medical College, Davangere, in central Karnataka, from November 2024 to April 2025. Data were collected via house-to-house visits using structured questionnaires programmed on Android phones via Epicollect5 (Centre for Genomic Pathogen Surveillance, Big Data Institute, University of Oxford, Oxford, UK). Geotagging of residences was done, and GIS mapping was created using QGIS software (QGIS Development Team, Open Source Geospatial Foundation, Beaverton, OR).

resultsAmong 576 individuals, 112 (19.4%) had diabetes, 174 (30.3%) had hypertension, and 290 (50.3%) had both. The majority (192, 33.3%) were elderly, with a mean age of 58 ± 6.12 years. Females comprised 55.9% (322), and most participants (187, 32.4%) had formal education up to 10th grade. A total of 345 (59.9%) belonged to the low socioeconomic class, as per the modified BG Prasad classification (updated for January 2025). Clustering was observed in specific slums.

conclusionGIS-based mapping enables the identification of areas with a high burden of disease, facilitating targeted public health interventions in underserved urban slum settings.

Indexed as

diabetes mellitusgeographic information systemsgis in healthhealth services accessibilityhypertensionspatial analysisurban population

Identifiers

PMID41063905
PMCPMC12503191

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.