IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v20y2023i4p3198-d1065658.html
   My bibliography  Save this article

Spatial and Temporal Analysis of COVID-19 Cases in West Java, Indonesia and Its Influencing Factors

Author

Listed:
  • Delima Istio Prawiradhani Putri

    (Epidemiology Study Program, Faculty of Medicine, Universitas Padjadjaran, Jalan Eyckman No. 38 Gedung RSP Unpad Lantai 4, Bandung 40161, Indonesia)

  • Dwi Agustian

    (Division Epidemiology and Biostatistics, Department of Public Health, Faculty of Medicine, Universitas Padjadjaran, Jalan Ir. Soekarno KM. 21, Jatinangor, Sumedang 45363, Indonesia)

  • Lika Apriani

    (Division Epidemiology and Biostatistics, Department of Public Health, Faculty of Medicine, Universitas Padjadjaran, Jalan Ir. Soekarno KM. 21, Jatinangor, Sumedang 45363, Indonesia)

  • Ridwan Ilyas

    (Informatics Department, Faculty of Science and Informatics, Universitas Jenderal Achmad Yani, Jalan Terusan Jenderal Sudirman, Cimahi 40531, Indonesia)

Abstract

Coronavirus Disease 2019 (COVID-19) spread quickly and reached epidemic levels worldwide. West Java is Indonesia’s most populous province and has a high susceptibility to the transmission of the disease, resulting in a significant number of COVID-19 cases. Therefore, this research aimed to determine the influencing factors as well as the spatial and temporal distribution of COVID-19 in West Java. Data on COVID-19 cases in West Java obtained from PIKOBAR were used. Spatial distribution was described using a choropleth, while the influencing factors were evaluated with regression analysis. To determine whether COVID-19s policies and events affected its temporal distribution, the cases detected were graphed daily or biweekly with information on those two variables. Furthermore, the cumulative incidence was described in the linear regression analysis model as being significantly influenced by vaccinations and greatly elevated by population density. The biweekly chart had a random pattern with sharp decreases or spikes in cumulative incidence changes. Spatial and temporal analysis helps greatly in understanding distribution patterns and their influencing factors, specifically at the beginning of the pandemic. Plans and strategies for control and assessment programs may be supported by this study material.

Suggested Citation

  • Delima Istio Prawiradhani Putri & Dwi Agustian & Lika Apriani & Ridwan Ilyas, 2023. "Spatial and Temporal Analysis of COVID-19 Cases in West Java, Indonesia and Its Influencing Factors," IJERPH, MDPI, vol. 20(4), pages 1-14, February.
    • Handle: RePEc:gam:jijerp:v:20:y:2023:i:4:p:3198-:d:1065658
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/20/4/3198/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1660-4601/20/4/3198/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Abolfazl Mollalo & Alireza Mohammadi & Sara Mavaddati & Behzad Kiani, 2021. "Spatial Analysis of COVID-19 Vaccination: A Scoping Review," IJERPH, MDPI, vol. 18(22), pages 1-14, November.
    2. Kurubaran Ganasegeran & Mohd Fadzly Amar Jamil & Alan Swee Hock Ch’ng & Irene Looi & Kalaiarasu M. Peariasamy, 2021. "Influence of Population Density for COVID-19 Spread in Malaysia: An Ecological Study," IJERPH, MDPI, vol. 18(18), pages 1-12, September.
    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. Nuur Hafizah Md Iderus & Sarbhan Singh Lakha Singh & Sumarni Mohd Ghazali & Cheong Yoon Ling & Tan Cia Vei & Ahmed Syahmi Syafiq Md Zamri & Nadhar Ahmad Jaafar & Qistina Ruslan & Nur Huda Ahmad Jaghfa, 2022. "Correlation between Population Density and COVID-19 Cases during the Third Wave in Malaysia: Effect of the Delta Variant," IJERPH, MDPI, vol. 19(12), pages 1-17, June.
    2. Kurubaran Ganasegeran & Mohd Fadzly Amar Jamil & Maheshwara Rao Appannan & Alan Swee Hock Ch’ng & Irene Looi & Kalaiarasu M. Peariasamy, 2022. "Spatial Dynamics and Multiscale Regression Modelling of Population Level Indicators for COVID-19 Spread in Malaysia," IJERPH, MDPI, vol. 19(4), pages 1-13, February.
    3. Zijing Ye & Ruisi Li & Jing Wu, 2022. "Dynamic Demand Evaluation of COVID-19 Medical Facilities in Wuhan Based on Public Sentiment," IJERPH, MDPI, vol. 19(12), pages 1-22, June.
    4. Antonios Kalampakas & Sovan Samanta & Jayanta Bera & Kinkar Chandra Das, 2024. "A Fuzzy Logic Inference Model for the Evaluation of the Effect of Extrinsic Factors on the Transmission of Infectious Diseases," Mathematics, MDPI, vol. 12(5), pages 1-18, February.
    5. Shirley Gee Hoon Tang & Muhamad Haziq Hasnul Hadi & Siti Rosilah Arsad & Pin Jern Ker & Santhi Ramanathan & Nayli Aliah Mohd Afandi & Madihah Mohd Afzal & Mei Wyin Yaw & Prajindra Sankar Krishnan & Ch, 2022. "Prerequisite for COVID-19 Prediction: A Review on Factors Affecting the Infection Rate," IJERPH, MDPI, vol. 19(20), pages 1-38, October.
    6. Sourya Subhra Nasker & Ananya Nanda & Balamurugan Ramadass & Sasmita Nayak, 2021. "Epidemiological Analysis of SARS-CoV-2 Transmission Dynamics in the State of Odisha, India: A Yearlong Exploratory Data Analysis," IJERPH, MDPI, vol. 18(21), pages 1-13, October.
    7. Melissa Silva & Iuria Betco & César Capinha & Rita Roquette & Cláudia M. Viana & Jorge Rocha, 2022. "Spatiotemporal Dynamics of COVID-19 Infections in Mainland Portugal," Sustainability, MDPI, vol. 14(16), pages 1-28, August.
    8. Juan Blas Pérez-Gilaberte & Natalia Martín-Iranzo & José Aguilera & Manuel Almenara-Blasco & María Victoria de Gálvez & Yolanda Gilaberte, 2023. "Correlation between UV Index, Temperature and Humidity with Respect to Incidence and Severity of COVID 19 in Spain," IJERPH, MDPI, vol. 20(3), pages 1-13, January.
    9. Amal Najihah Muhamad Nor & Rohazaini Muhammad Jamil & Hasifah Abdul Aziz & Muhamad Azahar Abas & Kamarul Ariffin Hambali & Nor Hizami Hassin & Muhammad Firdaus Abdul Karim & Siti Aisyah Nawawi & Aaina, 2022. "Spatial Distribution of COVID-19 Infected Cases in Kelantan, Malaysia," Sustainability, MDPI, vol. 14(21), pages 1-14, October.

    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:gam:jijerp:v:20:y:2023:i:4:p:3198-:d:1065658. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.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.