Spatial-Temporal Distribution of 12-Year Periodontal Disease Prevalence in a Large Population Using Geographical Information Systems: A Longitudinal Study.

Through GIS, KD maps reveal the spatial-temporal distribution of periodontitis patients. This aids in identifying high-prevalence regions and guiding strategic healthcare facility placement. Implementing preventive programs in high-demand areas, particularly in family health centers (local health facilities), can reduce community-wide periodontal disease prevalence.

Authors

Publication Details

Journal
PubMed
Published
2024-11-07
DOI
https://doi.org/10.3290/j.ohpd.b5816556
Citations
1
Primary Topic
Data-Driven Disease Surveillance
Type
article
Field-Weighted Citation Impact
0.39
Controls
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article

Spatial-Temporal Distribution of 12-Year Periodontal Disease Prevalence in a Large Population Using Geographical Information Systems: A Longitudinal Study.

Duygu Kılıç, Bulent Bostanci, Gözde Erimli
1 citations
PubMed
Data-Driven Disease Surveillance
0.39
article

Spatial-Temporal Distribution of 12-Year Periodontal Disease Prevalence in a Large Population Using Geographical Information Systems: A Longitudinal Study.

Duygu Kılıç, Bulent Bostanci, Gözde Erimli
article en
1 citations

Abstract

Through GIS, KD maps reveal the spatial-temporal distribution of periodontitis patients. This aids in identifying high-prevalence regions and guiding strategic healthcare facility placement. Implementing preventive programs in high-demand areas, particularly in family health centers (local health facilities), can reduce community-wide periodontal disease prevalence.

PubMedVol. 22
Openalex Percentile: Top 32%
Data-Driven Disease Surveillance
0.39
DOIOpen Access PDFOpenAlex
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Spatial-Temporal Distribution of 12-Year Periodontal Disease Prevalence in a Large Population Using Geographical Information Systems: A Longitudinal Study. — Duygu Kılıç, Bulent Bostanci, et al. · PubMed (2024) | TGRS Research Map | TGRS