IDEAS home Printed from https://ideas.repec.org/a/vrs/quageo/v41y2022i1p147-169n8.html
   My bibliography  Save this article

Non-Medical risk assessment of COVID-19 in parts of Central and East Java, Indonesia

Author

Listed:
  • Saputra Aditya

    (Geography Faculty, Universitas Muhammadiyah Surakarta, Surakarta, Indonesia)

  • Setiawan Wisnu

    (Department of Architecture, Universitas Muhammadiyah Surakarta, Surakarta, Indonesia)

  • Arif Muhammad

    (Economy and Business Faculty, Universitas Muhammadiyah Surakarta, Surakarta, Indonesia)

  • Sriyono

    (Department of Management, Universitas Muhammadiyah Sidoarjo, Sidoarjo, Indonesia)

  • Nurmalasari Intan Rohmah

    (Faculty Science and Technology, Universitas Muhammadiyah Sidoarjo, Sidoarjo, Indonesia)

  • Dijaya Rohman

    (Department of Informatic, Universitas Muhammadiyah Sidoarjo, Sidoarjo, Indonesia)

  • Ulinuha Agus

    (Department of Electric Engineering, Universitas Muhammadiyah Surakarta, Surakarta, Indonesia)

  • Hermawan Sigit

    (Department of Accounting, Universitas Muhamamdiyah Sidoarjo, Sidoarjo, Indonesia)

Abstract

The impact of the Coronavirus disease 2019 (COVID-19) pandemic varies as each country has a different capacity to stop the virus transmission and apply social distancing. A densely populated country, such as Indonesia, tends to face challenges in implementing social distancing due to population characteristics. The Indonesian government focuses on the medical aspect as this virus is new and has been deadly with a high transmission rate. Meanwhile, the non-medical risk during the pandemic is still unclear. The main objective of this study is to assess the non-medical risk at the village level in two agglomeration cities of Central Java: Greater Surakarta and Surabaya. The methodologies use a risk index, derived from the risk reduction concept. The hazard refers to the death toll, while the vulnerability relates to parameters such as disaster, social and public facilities, health facilities, economics and demography. Further, the parameters were weighted based on expert judgement derived using analytical hierarchy process (AHP). The study found that the disaster aspect had the highest weight (0.38), followed by health facilities (0.31), economics (0.17), social-public facilities (0.11) and demography (0.04). The standard deviations of those parameters were relatively low, between 0.12 and 0.25. A low vulnerability index (0.05–0.36) was observed to be dominant in both study areas. There are 11 villages in Greater Surakarta and 30 villages in Greater Surabaya with high vulnerability index. Disaster-prone areas, low economic growth, lack of health facilities and aged demographic structure significantly added to this vulnerability. Further, a high-risk index (0.67–1.00) is observed in three villages in Greater Surabaya and one village in Greater Surakarta. These villages are relatively close to the city centre and have good accessibility. Furthermore, these four villages experienced the severest impact of the pandemic because the furniture and tourism sectors were their primary industries.

Suggested Citation

  • Saputra Aditya & Setiawan Wisnu & Arif Muhammad & Sriyono & Nurmalasari Intan Rohmah & Dijaya Rohman & Ulinuha Agus & Hermawan Sigit, 2022. "Non-Medical risk assessment of COVID-19 in parts of Central and East Java, Indonesia," Quaestiones Geographicae, Sciendo, vol. 41(1), pages 147-169, March.
    • Handle: RePEc:vrs:quageo:v:41:y:2022:i:1:p:147-169:n:8
    DOI: 10.2478/quageo-2022-0010
    as

    Download full text from publisher

    File URL: https://doi.org/10.2478/quageo-2022-0010
    Download Restriction: no
    File URL: https://libkey.io/10.2478/quageo-2022-0010?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
    ---><---

    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:1:p:147-169:n:8. 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.

    We have no bibliographic references for this item. You can help adding them by using 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.