IDEAS home Printed from https://ideas.repec.org/a/vrs/quageo/v41y2022i2p139-151n1.html
   My bibliography  Save this article

A Year of Spatio-Temporal Clusters of COVID-19 in Indonesia

Author

Listed:
  • Jumadi Jumadi
  • Fikriyah Vidya N.
  • Hadibasyir Hamim Zaky
  • Priyono Kuswaji Dwi

    (Faculty of Geography, Universitas Muhammadiyah Surakarta, Indonesia)

  • Musiyam Muhammad

    (Department of Geography Education, Universitas Muhammadiyah Surakarta, Indonesia)

  • Mardiah Andri N. R.

    (The Ministry of National Development Planning/BAPPENAS, Indonesia)

  • Rohman Arif

    (Geomatic Engineering, Institut Teknologi Sumatera (ITERA), Indonesia)

  • Hasyim Hamzah

    (Faculty of Public Health, Universitas Sriwijaya, South Sumatra Province, Indonesia)

  • Ibrahim Mohd. Hairy

    (Universiti Pendidikan Sultan Idris, Malaysia)

Abstract

Coronavirus disease-2019 (COVID-19) in Indonesia began to appear on March 2, 2020 and led to a number of fatalities. Spatial analysis is important to study the spatio-temporal trend of COVID-19 cases and fatalities to get a better understanding of the spread as well as to mitigate it. However, such a comprehensive study at national level is not to be seen in Indonesia with limited health infrastructure. This study aims to analyse the spatio-temporal distribution and clusters of COVID-19 in Indonesia for a year period. COVID-19 cases, as well as the fatalities as a consequence of this disease, were collected from the government through publicly shared data. A geographic information system (GIS) was used to manage and analyse the data on demographics, cases, and fatalities. The case fatality rate (CFR) was produced based on the number of cases and deaths per province weekly. The spatio-temporal data of both cases and fatalities were generated from the data. Finally, K-means clustering was employed to classify the cluster of Indonesia based on the proportion of vulnerable age groups, cases, and CFR. The results show that most of the provinces in Indonesia are affected by COVID-19, but the fatalities are not distributed evenly throughout the country. Based on the K-means clustering, two provinces are classified as moderate, namely the Province of East Kalimantan and North Kalimantan. The Province of Jakarta is classified as high, because the vulnerable age group there is highly correlated with the number of cases and deaths.

Suggested Citation

  • Jumadi Jumadi & Fikriyah Vidya N. & Hadibasyir Hamim Zaky & Priyono Kuswaji Dwi & Musiyam Muhammad & Mardiah Andri N. R. & Rohman Arif & Hasyim Hamzah & Ibrahim Mohd. Hairy, 2022. "A Year of Spatio-Temporal Clusters of COVID-19 in Indonesia," Quaestiones Geographicae, Sciendo, vol. 41(2), pages 139-151, June.
    • Handle: RePEc:vrs:quageo:v:41:y:2022:i:2:p:139-151:n:1
    DOI: 10.2478/quageo-2022-0013
    as

    Download full text from publisher

    File URL: https://doi.org/10.2478/quageo-2022-0013
    Download Restriction: no
    File URL: https://libkey.io/10.2478/quageo-2022-0013?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Pierre Nouvellet & Sangeeta Bhatia & Anne Cori & Kylie E. C. Ainslie & Marc Baguelin & Samir Bhatt & Adhiratha Boonyasiri & Nicholas F. Brazeau & Lorenzo Cattarino & Laura V. Cooper & Helen Coupland &, 2021. "Reduction in mobility and COVID-19 transmission," Nature Communications, Nature, vol. 12(1), pages 1-9, December.
    2. Choirul Amin & Priyono Priyono & Umrotun Umrotun & Maulida Fatkhiyah & Suliadi Firdaus Sufahani, 2021. "Exploring the Prevalence of Protective Measure Adoption in Mosques during the COVID-19 Pandemic in Indonesia," Sustainability, MDPI, vol. 13(24), pages 1-13, December.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Carlos Díaz & Sebastian Fossati & Nicolás Trajtenberg, 2022. "Stay at home if you can: COVID‐19 stay‐at‐home guidelines and local crime," Journal of Empirical Legal Studies, John Wiley & Sons, vol. 19(4), pages 1067-1113, December.
    2. Cooper, Daniel & Garga, Vaishali & Luengo-Prado, María José & Tang, Jenny, 2023. "The mitigating effect of masks on the spread of Covid-19," Economics & Human Biology, Elsevier, vol. 48(C).
    3. Moghari, Somaye & Ghorani, Maryam, 2022. "A symbiosis between cellular automata and dynamic weighted multigraph with application on virus spread modeling," Chaos, Solitons & Fractals, Elsevier, vol. 155(C).
    4. Meng, Xin & Guo, Mingxue & Gao, Ziyou & Yang, Zhenzhen & Yuan, Zhilu & Kang, Liujiang, 2022. "The effects of Wuhan highway lockdown measures on the spread of COVID-19 in China," Transport Policy, Elsevier, vol. 117(C), pages 169-180.
    5. Haque, Md Tabish & Hamid, Faiz, 2022. "An optimization model to assign seats in long distance trains to minimize SARS-CoV-2 diffusion," Transportation Research Part A: Policy and Practice, Elsevier, vol. 162(C), pages 104-120.
    6. Lorenzo Amir Nemati Fard & Michele Starnini & Michele Tizzoni, 2023. "Modeling adaptive forward-looking behavior in epidemics on networks," Papers 2301.04947, arXiv.org.
    7. Burcu Ozgun & Tom Broekel, 2024. "Saved by the news? COVID-19 in German news and its relationship with regional mobility behaviour," Regional Studies, Taylor & Francis Journals, vol. 58(2), pages 365-380, February.
    8. Emma E. Goldberg & Qianying Lin & Ethan O. Romero-Severson & Ruian Ke, 2023. "Swift and extensive Omicron outbreak in China after sudden exit from ‘zero-COVID’ policy," Nature Communications, Nature, vol. 14(1), pages 1-10, December.
    9. Li, Meng-Hao & Haynes, Kingsley & Kulkarni, Rajendra & Siddique, Abu Bakkar, 2022. "Determinants of voluntary compliance: COVID-19 mitigation," Social Science & Medicine, Elsevier, vol. 310(C).
    10. Margarete Redlin, 2022. "Differences in NPI strategies against COVID-19," Journal of Regulatory Economics, Springer, vol. 62(1), pages 1-23, December.
    11. Bo Huang & Zhihui Huang & Chen Chen & Jian Lin & Tony Tam & Yingyi Hong & Sen Pei, 2022. "Social vulnerability amplifies the disparate impact of mobility on COVID-19 transmissibility across the United States," Palgrave Communications, Palgrave Macmillan, vol. 9(1), pages 1-13, December.
    12. Liu, Shasha & Yamamoto, Toshiyuki, 2022. "Role of stay-at-home requests and travel restrictions in preventing the spread of COVID-19 in Japan," Transportation Research Part A: Policy and Practice, Elsevier, vol. 159(C), pages 1-16.
    13. Jumadi Jumadi & Vidya N. Fikriyah & Hamim Z. Hadibasyir & Muhammad I. T. Sunariya & Kuswaji D. Priyono & Noor A. Setiyadi & Steve J. Carver & Paul D. Norman & Nick S. Malleson & Arif Rohman & Aynaz Lo, 2022. "Spatiotemporal Accessibility of COVID-19 Healthcare Facilities in Jakarta, Indonesia," Sustainability, MDPI, vol. 14(21), pages 1-14, November.
    14. Sutanuka Roy & Sudhir Gupta & Rabee Tourky, 2023. "The Impact of Long–Term Orientation Traits on Pandemic Fatigue Behavior: Evidence from the Columbian Exchange," Journal of Economic Growth, Springer, vol. 28(3), pages 397-438, September.
    15. Jiang, Yangyang & Wen, Jun & Zheng, Danni & Phau, Ian & Wang, Wei, 2022. "Pandemic prevention via tourism: A conceptual framework," Annals of Tourism Research, Elsevier, vol. 96(C).
    16. Carroll, Rachel & Prentice, Christopher R., 2021. "Community vulnerability and mobility: What matters most in spatio-temporal modeling of the COVID-19 pandemic?," Social Science & Medicine, Elsevier, vol. 287(C).
    17. Masahiko Haraguchi & Akihiko Nishino & Akira Kodaka & Maura Allaire & Upmanu Lall & Liao Kuei-Hsien & Kaya Onda & Kota Tsubouchi & Naohiko Kohtake, 2022. "Human mobility data and analysis for urban resilience: A systematic review," Environment and Planning B, , vol. 49(5), pages 1507-1535, June.
    18. Jisung Yoon & Woo-Sung Jung & Hyunuk Kim, 2022. "COVID-19 confines recreational gatherings in Seoul to familiar, less crowded, and neighboring urban areas," Palgrave Communications, Palgrave Macmillan, vol. 9(1), pages 1-8, December.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:vrs:quageo:v:41:y:2022:i:2:p:139-151:n:1. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Peter Golla (email available below). General contact details of provider: https://www.sciendo.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.