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Article

The Spatial Analysis of Extrapulmonary Tuberculosis Spreading and Its Interactions with Pulmonary Tuberculosis in Samarinda, East Kalimantan, Indonesia

by
Nataniel Tandirogang
1,*,
Wirdah Ulfahaini Mappalotteng
1,
Eko Nugroho Raharjo
2,
Swandari Paramitai
3,
Dewi Embong Bulan
4 and
Yadi Yasir
1
1
Microbiology Laboratory of Medical Faculty Universitas Mulawarman, Samarinda, East Kalimantan, Indonesia
2
Anatomy Pathology Laboratory of Abdul Wahab Sjahranie Hospital, Indonesia
3
Public Health Laboratory of Medical Faculty Universitas Mulawarman, Indonesia
4
Department of Aquatic Resources Management of Fisheries and Marine Science Faculty Universitas Mulawarman, Samarinda, East Kalimantan, Indonesia
*
Author to whom correspondence should be addressed.
Infect. Dis. Rep. 2020, 12(s1), 8727; https://doi.org/10.4081/idr.2020.8727
Submission received: 17 February 2020 / Revised: 26 June 2020 / Accepted: 1 July 2020 / Published: 6 July 2020

Abstract

Background: Extrapulmonary Tubercolosis (EPTB) is an infectious disease that affects tissue outside the lungs. EPTB patients cannot be source of infection, therefore the findings in the community indicate that there are still active pul- monary TB patients acting as a source of infection. Understanding distributions of EPTB can be used as indicator to individu- ate the unmonitored source of TB transmission in the community. Objectives: The aim of this study is to analyze EPTB using spatial modeling based on patients’ location. Methods: This study is an observational research with spatial analysis approach using SatScanv.9.4.4 and ArcGis v.10.4. Involving 46 samples of EPTB patients in Anatomy Pathology Laboratory of RSUD Abdul Wahab Sjahranie in 2017 and 7 pul- monary TB patients who were contacts of EPTB patients. The distribution of EPTB patients is mostly located in areas with high population density. Results: The results showed that the dis- tribution pattern of EPTB patients was mostly in areas with high population densi- ties. Space-time permutation model shows there are 3 clusters of EPTB with a 2.91, 0.97, 1.13 km radius centered on -0.504177 S/117.092132 E, -0.476895 S /117.141700 E, -0.517031 S/117.092132 E. Conclusion: The distribution of patients with EPTB and pulmonary TB indicates there is an interaction between EPTB and pulmonary TB in the cluster area. Bernoulli model shows that there is 1 cluster of EPTB and pulmonary TB with relative risk 5.29, radius of 3.19 km, and centered on - 0.458159 S / 117.149945 E.
Keywords: Extrapulmonary tuberculosis; pulmonary tuberculosis; spatial analysis Extrapulmonary tuberculosis; pulmonary tuberculosis; spatial analysis

Share and Cite

MDPI and ACS Style

Tandirogang, N.; Mappalotteng, W.U.; Raharjo, E.N.; Paramitai, S.; Bulan, D.E.; Yasir, Y. The Spatial Analysis of Extrapulmonary Tuberculosis Spreading and Its Interactions with Pulmonary Tuberculosis in Samarinda, East Kalimantan, Indonesia. Infect. Dis. Rep. 2020, 12, 8727. https://doi.org/10.4081/idr.2020.8727

AMA Style

Tandirogang N, Mappalotteng WU, Raharjo EN, Paramitai S, Bulan DE, Yasir Y. The Spatial Analysis of Extrapulmonary Tuberculosis Spreading and Its Interactions with Pulmonary Tuberculosis in Samarinda, East Kalimantan, Indonesia. Infectious Disease Reports. 2020; 12(s1):8727. https://doi.org/10.4081/idr.2020.8727

Chicago/Turabian Style

Tandirogang, Nataniel, Wirdah Ulfahaini Mappalotteng, Eko Nugroho Raharjo, Swandari Paramitai, Dewi Embong Bulan, and Yadi Yasir. 2020. "The Spatial Analysis of Extrapulmonary Tuberculosis Spreading and Its Interactions with Pulmonary Tuberculosis in Samarinda, East Kalimantan, Indonesia" Infectious Disease Reports 12, no. s1: 8727. https://doi.org/10.4081/idr.2020.8727

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