Geospatial Analysis to Identify the Area with High-risk Clusters of Extrapulmonary Tuberculosis in Jambi Municipality, Indonesia

A significant presence of extrapulmonary tuberculosis (EPTB) cases is estimated in the community in Jambi Municipality, Indonesia, coinciding with the upward trend in TB cases. All EPTB cases from three Jambi hospitals were gathered. Spatial scan cluster analysis was performed using SaTScan 10.1.1 to identify the spatial pattern of EPTB employing the Poisson model. TB patients' house coordinates were acquired using the Global Positioning System. This study found a cluster of cases in an area centered at -1.574718 S, 103.609117 E with a radius of 4.4 km (relative risk = 4.06). The cluster is found in areas with high population density.

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Journal
Indian Journal of Public Health
Published
2025-01-01
DOI
https://doi.org/10.4103/ijph.ijph_1528_23
Primary Topic
Tuberculosis Research and Epidemiology
Type
article
Field-Weighted Citation Impact
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article

Geospatial Analysis to Identify the Area with High-risk Clusters of Extrapulmonary Tuberculosis in Jambi Municipality, Indonesia

Muhammad Syukri, Fairuz Fairuz, Samsirun Halim, Yuli Puspita Devi
Indian Journal of Public Health
Tuberculosis Research and Epidemiology
article

Geospatial Analysis to Identify the Area with High-risk Clusters of Extrapulmonary Tuberculosis in Jambi Municipality, Indonesia

Muhammad Syukri, Fairuz Fairuz, Samsirun Halim, Yuli Puspita Devi
article en

Abstract

A significant presence of extrapulmonary tuberculosis (EPTB) cases is estimated in the community in Jambi Municipality, Indonesia, coinciding with the upward trend in TB cases. All EPTB cases from three Jambi hospitals were gathered. Spatial scan cluster analysis was performed using SaTScan 10.1.1 to identify the spatial pattern of EPTB employing the Poisson model. TB patients' house coordinates were acquired using the Global Positioning System. This study found a cluster of cases in an area centered at -1.574718 S, 103.609117 E with a radius of 4.4 km (relative risk = 4.06). The cluster is found in areas with high population density.

Indian Journal of Public HealthVol. 69(1)
Universitas Jambi (ID), Universitas Airlangga (ID)
Openalex Percentile: Top 90%
Tuberculosis Research and Epidemiology
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Geospatial Analysis to Identify the Area with High-risk Clusters of Extrapulmonary Tuberculosis in Jambi Municipality, Indonesia — Muhammad Syukri, Fairuz Fairuz, et al. · Indian Journal of Public Health (2025) | TGRS Research Map | TGRS