Melola Discovery

← Melola Discovery

Akses terbuka Jurnal

Spatial and temporal analysis to identify clusters of MDR-TB in Jambi, Indonesia

Proceedings Academic Universitas Jambi · Vol. 1 No. 2 (2025) · hlm. 697–703

DOI
10.22437/proca.v1i2.50330
Terbit
2025-11-30
Penerbit
LPPM Universitas Jambi
Bahasa
en
Lisensi
creativecommons.org/licenses/by/4.0

Abstrak

Background: Multidrug-Resistant Tuberculosis (MDR-TB) remains a major public health challenge in Indonesia. Objective: To identify spatial clusters of MDR-TB in Jambi City during 2020–2025. Methods: A total of 101 MDR-TB cases were geocoded based on patient residential addresses to obtain precise geographical coordinates. A retrospective space-time scan analysis was then performed using population and MDR-TB incidence data. The SaTScan™ software with the discrete Poisson model was applied to detect areas at higher risk. The analysis covered the period from January 1, 2023 to August 31, 2025. Results: 101 MDR-TB cases were recorded during the study period. The analysis identified two cluster. The first cluster located around (1.1571425 S, 103.598028 E) with a radius of 5.44 km, comprising 28 observed cases compared to 10.00 expected, with a relative risk (RR) of 3.49 (p = 0.0037). The second cluster not reached the statistical significance was cantered at (1.638602 S, 103.577643 E) with a radius of 2.22 km, including 3 observed cases compared to 0.46 expected with an RR of 6.74 (p = 0.99). Conclusion: Spatial concentrations of MDR-TB were observed in areas of Jambi City. Strengthened surveillance, integration of spatial analysis into TB control programs are recommended to support targeted interventions.

Kata kunci

Jaringan kolaborasi para penulis

40 penulis · 218 tautan kepenulisan bersama · menampilkan 40 yang paling banyak terhubung

Arahkan kursor atau ketuk sebuah nama untuk menyorot rekan penulisnya. Klik dua kali untuk membuka halaman penulis.

  • Universitas Halu Oleo
  • Afiliasi tidak diketahui
  • Organisasi berbeda
  • Organisasi sama
  • Afiliasi tidak diketahui
  • Garis lebih tebal = lebih banyak artikel bersama · lingkaran lebih besar = lebih banyak artikel
Tampilkan sebagai tabel
Rekan penulisOrganisasiArtikel bersama
Erny KusdiyahAfiliasi tidak diketahui26
Wahyu Indah Dewi AuroraAfiliasi tidak diketahui24
Nuriyah NuriyahAfiliasi tidak diketahui10
Ima MariaAfiliasi tidak diketahui8
Ahmad SyauqyAfiliasi tidak diketahui7
HafizahAfiliasi tidak diketahui6
Tengku Arief Buana PerkasaAfiliasi tidak diketahui6
Sarinah SarinahUniversitas Halu Oleo5
MiftahurrahmahAfiliasi tidak diketahui5
Denok Tri HardiningsihAfiliasi tidak diketahui5
Rina Nofri EnisAfiliasi tidak diketahui5
Hasna DewiAfiliasi tidak diketahui5
Tia Wida EkaputriAfiliasi tidak diketahui5
LipinwatiAfiliasi tidak diketahui5
HumaryantoAfiliasi tidak diketahui4
Andika SulistiawanAfiliasi tidak diketahui4
Attiya IstariniAfiliasi tidak diketahui4
Mirna Marhami IskandarAfiliasi tidak diketahui4
HaninaAfiliasi tidak diketahui4
Mara Imam Taufiq SiregarAfiliasi tidak diketahui4
Ummi KalsumAfiliasi tidak diketahui4
Sakir SakirUniversitas Halu Oleo3
Dhian HerdhiansyahAfiliasi tidak diketahui3
Asriani AsrianiAfiliasi tidak diketahui3
Jesica MoudyAfiliasi tidak diketahui3
Mutiara Tri FlorettiraAfiliasi tidak diketahui3
Adelina FitriAfiliasi tidak diketahui3
Zahra Frizki AstyAfiliasi tidak diketahui3
Patrick Wiliam GadingAfiliasi tidak diketahui3
Budi JustitiaAfiliasi tidak diketahui3

Afiliasi berasal dari OpenAlex; metadata OAI-PMH jurnal tidak memuatnya. Penulis tanpa ID OpenAlex dicocokkan berdasarkan nama, sehingga dua orang bisa tergabung atau satu orang bisa terpisah.

Sumber metadata: OAI-PMH (metadata jurnal) https://online-journal.unja.ac.id/index.php/PROCA/oai, pertama di-harvest 6 Nov 2026, terakhir terlihat 8 Nov 2026.
Metadata asli (oai_dc) 
<oai_dc:dc xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/  http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
	<dc:title xml:lang="en">Spatial and temporal analysis to identify clusters of MDR-TB in Jambi, Indonesia</dc:title>
	<dc:creator xml:lang="en">Fairuz</dc:creator>
	<dc:creator xml:lang="en">Harahap, Huntari</dc:creator>
	<dc:creator xml:lang="en">Miftahurrahma</dc:creator>
	<dc:creator xml:lang="en">Ayudia, Esa Indah</dc:creator>
	<dc:creator xml:lang="en">Darmawan, Armaidi</dc:creator>
	<dc:creator xml:lang="en">Aurora, Wahyu Indah</dc:creator>
	<dc:creator xml:lang="en">Fitriyanti</dc:creator>
	<dc:creator xml:lang="en">Razak, Rahmatillah</dc:creator>
	<dc:creator xml:lang="en">Syakurah, Rizma Adlia</dc:creator>
	<dc:creator xml:lang="en">Syukri, Muhammad</dc:creator>
	<dc:subject xml:lang="en">MDR-TB; cluster; spatial; temporal; Jambi municipality</dc:subject>
	<dc:description xml:lang="en">Background: Multidrug-Resistant Tuberculosis (MDR-TB) remains a major public health challenge in Indonesia. Objective: To identify spatial clusters of MDR-TB in Jambi City during 2020–2025. Methods: A total of 101 MDR-TB cases were geocoded based on patient residential addresses to obtain precise geographical coordinates. A retrospective space-time scan analysis was then performed using population and MDR-TB incidence data. The SaTScan™ software with the discrete Poisson model was applied to detect areas at higher risk. The analysis covered the period from January 1, 2023 to August 31, 2025. Results: 101 MDR-TB cases were recorded during the study period. The analysis identified two cluster. The first cluster located around (1.1571425 S, 103.598028 E) with a radius of 5.44 km, comprising 28 observed cases compared to 10.00 expected, with a relative risk (RR) of 3.49 (p = 0.0037). The second cluster not reached the statistical significance was cantered at (1.638602 S, 103.577643 E) with a radius of 2.22 km, including 3 observed cases compared to 0.46 expected with an RR of 6.74 (p = 0.99). Conclusion: Spatial concentrations of MDR-TB were observed in areas of Jambi City. Strengthened surveillance, integration of spatial analysis into TB control programs are recommended to support targeted interventions.</dc:description>
	<dc:publisher xml:lang="en">LPPM Universitas Jambi</dc:publisher>
	<dc:date>2025-11-30</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
	<dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
	<dc:format>application/pdf</dc:format>
	<dc:identifier>https://online-journal.unja.ac.id/PROCA/article/view/50330</dc:identifier>
	<dc:identifier>10.22437/proca.v1i2.50330</dc:identifier>
	<dc:source xml:lang="en">Proceedings Academic Universitas Jambi; Vol. 1 No. 2 (2025): The 6th Jambi Medicine and Health Science International Conference (JAMHESIC); 697-703</dc:source>
	<dc:source>10.22437/proca.v1i2</dc:source>
	<dc:language>en</dc:language>
	<dc:relation>https://online-journal.unja.ac.id/PROCA/article/view/50330/22659</dc:relation>
	<dc:rights xml:lang="en">Copyright (c) 2025 Fairuz, Huntari Harahap, Miftahurrahma, Esa Indah Ayudia, Armaidi Darmawan, Wahyu Indah Aurora, Fitriyanti, Rahmatillah Razak, Rizma Adlia Syakurah, Muhammad Syukri</dc:rights>
	<dc:rights xml:lang="en">https://creativecommons.org/licenses/by/4.0</dc:rights>
</oai_dc:dc>