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 t...

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Main Authors: Fairuz Fairuz, Muhammad Syukri, Yuli Puspita Devi, Samsirun Halim
Format: Article
Language:English
Published: Wolters Kluwer Medknow Publications 2025-01-01
Series:Indian Journal of Public Health
Subjects:
Online Access:https://journals.lww.com/10.4103/ijph.ijph_1528_23
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author Fairuz Fairuz
Muhammad Syukri
Yuli Puspita Devi
Samsirun Halim
author_facet Fairuz Fairuz
Muhammad Syukri
Yuli Puspita Devi
Samsirun Halim
author_sort Fairuz Fairuz
collection DOAJ
description 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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publisher Wolters Kluwer Medknow Publications
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series Indian Journal of Public Health
spelling doaj-art-ceb2907be90a4fa3822d2aa212ba924f2025-08-20T02:15:41ZengWolters Kluwer Medknow PublicationsIndian Journal of Public Health0019-557X2229-76932025-01-0169113613810.4103/ijph.ijph_1528_23Geospatial Analysis to Identify the Area with High-risk Clusters of Extrapulmonary Tuberculosis in Jambi Municipality, IndonesiaFairuz FairuzMuhammad SyukriYuli Puspita DeviSamsirun HalimA 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.https://journals.lww.com/10.4103/ijph.ijph_1528_23clusterextrapulmonary tuberculosisjambi municipality
spellingShingle Fairuz Fairuz
Muhammad Syukri
Yuli Puspita Devi
Samsirun Halim
Geospatial Analysis to Identify the Area with High-risk Clusters of Extrapulmonary Tuberculosis in Jambi Municipality, Indonesia
Indian Journal of Public Health
cluster
extrapulmonary tuberculosis
jambi municipality
title Geospatial Analysis to Identify the Area with High-risk Clusters of Extrapulmonary Tuberculosis in Jambi Municipality, Indonesia
title_full Geospatial Analysis to Identify the Area with High-risk Clusters of Extrapulmonary Tuberculosis in Jambi Municipality, Indonesia
title_fullStr Geospatial Analysis to Identify the Area with High-risk Clusters of Extrapulmonary Tuberculosis in Jambi Municipality, Indonesia
title_full_unstemmed Geospatial Analysis to Identify the Area with High-risk Clusters of Extrapulmonary Tuberculosis in Jambi Municipality, Indonesia
title_short Geospatial Analysis to Identify the Area with High-risk Clusters of Extrapulmonary Tuberculosis in Jambi Municipality, Indonesia
title_sort geospatial analysis to identify the area with high risk clusters of extrapulmonary tuberculosis in jambi municipality indonesia
topic cluster
extrapulmonary tuberculosis
jambi municipality
url https://journals.lww.com/10.4103/ijph.ijph_1528_23
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AT yulipuspitadevi geospatialanalysistoidentifytheareawithhighriskclustersofextrapulmonarytuberculosisinjambimunicipalityindonesia
AT samsirunhalim geospatialanalysistoidentifytheareawithhighriskclustersofextrapulmonarytuberculosisinjambimunicipalityindonesia