Spatial-Temporal Epidemiology of COVID-19 in Aceh, Indonesia: A Statistical Perspective

Sasmita, Novi Reandy; Phonna, Rahmatil Adha; Kesuma, Zurnila Marli; Kamal, Saiful; Yusya, Nudzran

doi:10.15294/ujph.v13i2.3428

Jurnal

Spatial-Temporal Epidemiology of COVID-19 in Aceh, Indonesia: A Statistical Perspective

Unnes Journal of Public Health · Vol. 13 No. 2 (2024) · hlm. 67–79

DOI: 10.15294/ujph.v13i2.3428
ISSN: 2548-7604, 2252-6781
Terbit: 2024-09-25
Penerbit: Universitas Negeri Semarang (UNNES) in cooperation with the Association of Indonesian Public Health Experts (Ikatan Ahli Kesehatan Masyarakat Indonesia (IAKMI))
Bahasa: eng

Abstrak

The development of COVID-19 cases in Aceh for each region based on spatio-temporal is vital information to know. Spatio-temporal mapping is carried out to knowthe distribution of cases in diversity based on regional and time conditions. The timeseries design study was used as the research design in this study. This study aims toobtain factors that influence the incidence of COVID-19 cases in Aceh using paneldata regression analysis and the GTWR model for more accurate results. There arenine variables from 23 districts/cities in Aceh Province in 2020 and 2021. Based onpartial panel data regression analysis, of the eight independent variables that arefactors for analysis, it shows that only the variable number of doctors (p < 0.000),number of Tuberculosis Cases (p < 0.000), Number of Villages with Puskesmas (p< 0.026), and Number of Poor population (p < 0.035) have a significant effect onthe increase in COVID-19 cases in Aceh. The number of Tuberculosis Cases is avery dominant variable. Then, the results of the GTWR analysis using the AdaptiveKernel Exponential weighting function show that regional and time diversity affectthe factors that cause an increase in COVID-19 cases in Aceh. These factors need tobe a concern in controlling COVID-19 cases in Aceh in the future.

Kata kunci

Jaringan kolaborasi para penulis

12 penulis · 45 tautan kepenulisan bersama · 13 lintas organisasi

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

Universitas Syiah Kuala
Prince of Songkla University
University of Hong Kong
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 penulis	Organisasi	Artikel bersama
Latifa Rahayu	Afiliasi tidak diketahui	2
Mutiara Syifa	Universitas Syiah Kuala	2
Mhd Khairul	Universitas Syiah Kuala	2
Selvi Mardalena	Universitas Syiah Kuala	2
Rumaisa Kruba	Universitas Syiah Kuala	2
Virasakdi Chongsuvivatwong	Prince of Songkla University	2
M. Ischaq Nabil Asshiddiqi	University of Hong Kong	2

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://journal.unnes.ac.id/journals/ujph/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-Temporal Epidemiology of COVID-19 in Aceh, Indonesia: A Statistical Perspective</dc:title>
	<dc:creator xml:lang="en">Sasmita, Novi Reandy</dc:creator>
	<dc:creator xml:lang="en">Phonna, Rahmatil Adha</dc:creator>
	<dc:creator xml:lang="en">Kesuma, Zurnila Marli </dc:creator>
	<dc:creator xml:lang="en">Kamal, Saiful </dc:creator>
	<dc:creator xml:lang="en">Yusya, Nudzran </dc:creator>
	<dc:subject xml:lang="en">Spatio-temporal</dc:subject>
	<dc:subject xml:lang="en">Data Panel Regression</dc:subject>
	<dc:subject xml:lang="en">Geographically and Temporally Weighted Regression</dc:subject>
	<dc:subject xml:lang="en">COVID-19</dc:subject>
	<dc:subject xml:lang="en">Aceh Province</dc:subject>
	<dc:description xml:lang="en"> The development of COVID-19 cases in Aceh for each region based on spatio-temporal is vital information to know. Spatio-temporal mapping is carried out to knowthe distribution of cases in diversity based on regional and time conditions. The timeseries design study was used as the research design in this study. This study aims toobtain factors that influence the incidence of COVID-19 cases in Aceh using paneldata regression analysis and the GTWR model for more accurate results. There arenine variables from 23 districts/cities in Aceh Province in 2020 and 2021. Based onpartial panel data regression analysis, of the eight independent variables that arefactors for analysis, it shows that only the variable number of doctors (p &amp;lt; 0.000),number of Tuberculosis Cases (p &amp;lt; 0.000), Number of Villages with Puskesmas (p&amp;lt; 0.026), and Number of Poor population (p &amp;lt; 0.035) have a significant effect onthe increase in COVID-19 cases in Aceh. The number of Tuberculosis Cases is avery dominant variable. Then, the results of the GTWR analysis using the AdaptiveKernel Exponential weighting function show that regional and time diversity affectthe factors that cause an increase in COVID-19 cases in Aceh. These factors need tobe a concern in controlling COVID-19 cases in Aceh in the future. </dc:description>
	<dc:publisher xml:lang="en">Universitas Negeri Semarang (UNNES) in cooperation with the Association of Indonesian Public Health Experts (Ikatan Ahli Kesehatan Masyarakat Indonesia (IAKMI))</dc:publisher>
	<dc:date>2024-09-25</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
	<dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
	<dc:type xml:lang="en">Peer-reviewed Article</dc:type>
	<dc:format>application/pdf</dc:format>
	<dc:identifier>https://journal.unnes.ac.id/journals/ujph/article/view/3428</dc:identifier>
	<dc:identifier>10.15294/ujph.v13i2.3428</dc:identifier>
	<dc:source xml:lang="en">Unnes Journal of Public Health; Vol. 13 No. 2 (2024); 67 - 79</dc:source>
	<dc:source>2548-7604</dc:source>
	<dc:source>2252-6781</dc:source>
	<dc:source>10.15294/ujph.v13i2</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://journal.unnes.ac.id/journals/ujph/article/view/3428/1430</dc:relation>
	<dc:rights xml:lang="en">Copyright (c) 2024 Unnes Journal of Public Health</dc:rights>
</oai_dc:dc>