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GIS-Based Spatio-temporal Analysis of COPD Incidence Rates and High-risk Clusters in Suphan Buri, Thailand

Year: 2025

Type: article

Abstract: Chronic obstructive pulmonary disease (COPD) remains a major public health challenge, particularly in provinces with persistent environmental and demographic risk factors. This study aimed to investigate the spatio-temporal distribution and clustering of COPD incidence in Suphan Buri province from 2019 to 2024 using village-level health records and geographic information systems (GIS). Annual incidence rates were calculated and stabilized using Empirical Bayes Smoothing, and spatial clustering was assessed using global Moran’s I and local Moran’s I. The analysis revealed consistent spatial clustering across all study years, with persistent hotspot villages primarily located in Si Prachan, Song Phi Nong, Dan Chang, and Doem Bang Nang Buat districts. In addition, 30 villages transitioned from outlier status to hotspot status, indicating the emergence of new high-risk areas. These findings highlight the uneven spatial distribution of COPD burden and emphasize the need for targeted surveillance, proactive case detection, and focused resource allocation in both persistent and emerging hotspot locations.

Source: International Journal of Geoinformatics

DOI: 10.52939/ijg.v21i12.4649

Authors: M. Phuphaniat, P. Jeefoo, W. Paengwangthong, S. Lerk-U-Suke

Institution: University of Phayao

Language: English

Topic: Chronic Obstructive Pulmonary Disease (COPD) Research

Subfield: Pulmonary and Respiratory Medicine

Field: Medicine

Domain: Health Sciences

SDGs: Good health and well-being, Sustainable cities and communities

Open Access status: diamond

OpenAlex ID: W7117368583

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