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Spatial Distribution of COVID-19 Infected Cases in Kelantan, Malaysia

Author

Listed:
  • Amal Najihah Muhamad Nor

    (Faculty of Earth Science, Universiti Malaysia Kelantan, Jeli Campus, Jeli 17600, Kelantan, Malaysia
    School of Energy, Environment and Agrifood, Cranfield University, Bedford MK43 0AL, UK)

  • Rohazaini Muhammad Jamil

    (Faculty of Earth Science, Universiti Malaysia Kelantan, Jeli Campus, Jeli 17600, Kelantan, Malaysia)

  • Hasifah Abdul Aziz

    (Faculty of Earth Science, Universiti Malaysia Kelantan, Jeli Campus, Jeli 17600, Kelantan, Malaysia)

  • Muhamad Azahar Abas

    (Faculty of Earth Science, Universiti Malaysia Kelantan, Jeli Campus, Jeli 17600, Kelantan, Malaysia)

  • Kamarul Ariffin Hambali

    (Faculty of Earth Science, Universiti Malaysia Kelantan, Jeli Campus, Jeli 17600, Kelantan, Malaysia)

  • Nor Hizami Hassin

    (Faculty of Earth Science, Universiti Malaysia Kelantan, Jeli Campus, Jeli 17600, Kelantan, Malaysia)

  • Muhammad Firdaus Abdul Karim

    (Faculty of Earth Science, Universiti Malaysia Kelantan, Jeli Campus, Jeli 17600, Kelantan, Malaysia
    UMK-Tropical Rainforest Research Centre (UMK-TRaCe), Faculty of Earth Science, Pulau Banding, Gerik 33300, Perak, Malaysia)

  • Siti Aisyah Nawawi

    (Faculty of Earth Science, Universiti Malaysia Kelantan, Jeli Campus, Jeli 17600, Kelantan, Malaysia)

  • Aainaa Amir

    (Faculty of Earth Science, Universiti Malaysia Kelantan, Jeli Campus, Jeli 17600, Kelantan, Malaysia)

  • Nazahatul Anis Amaludin

    (Faculty of Earth Science, Universiti Malaysia Kelantan, Jeli Campus, Jeli 17600, Kelantan, Malaysia)

  • Norfadhilah Ibrahim

    (Faculty of Bioengineering and Technology, Universiti Malaysia Kelantan, Jeli Campus, Jeli 17600, Kelantan, Malaysia)

  • Abdul Hafidz Yusoff

    (Faculty of Bioengineering and Technology, Universiti Malaysia Kelantan, Jeli Campus, Jeli 17600, Kelantan, Malaysia
    Gold Rare Earth and Material Technoprenuership Centre, Faculty of Bioengineering and Technology, Universiti Malaysia Kelantan, Jeli 17600, Kelantan, Malaysia)

  • Nur Hanisah Abdul Malek

    (Faculty of Computer and Mathematical Sciences, Universiti Teknologi Mara, Bukit Ilmu, Machang 18500, Kelantan, Malaysia)

  • Nur Hairunnisa Rafaai

    (Institute of Environment and Development, Universiti Kebangsaan Malaysia, Bangi 43600, Selangor, Malaysia)

  • Siti Khairiyah Mohd Hatta

    (Faculty of Applied Sciences, Universiti Teknologi MARA, Shah Alam 40450, Selangor, Malaysia)

  • Darren Grafius

    (School of Energy, Environment and Agrifood, Cranfield University, Bedford MK43 0AL, UK
    Jacobs Engineering UK Ltd., Colmore Square, Birmingham B4 6BN, UK)

Abstract

Kota Bharu city in Kelantan, Malaysia was reported with the highest cases of coronavirus disease 2019 (COVID-19) among other districts. Kota Bharu is the capital city of Kelantan, which acts as the administrative, commercial, and financial areas. A large population pool may become a potential carrier for disease transmission to become an epidemic. However, the impact of population density on the COVID-19 outbreak in Malaysia is still unknown and undiscovered. Therefore, this study investigates the impact of population density on COVID-19 as a potential virus transmission carrier using linear regression models. The chances of formulating new strategies for combating COVID-19 are higher when the driver of transmission potential is identified. This study shows that the highest value of infected area density is in Kota Bharu (0.76), while the infected risk area was highest in Jeli (0.33). This study found that there is a strong relationship between COVID-19 infection cases in Kelantan and population density (R 2 which is 0.845). Therefore, high population density was identified as a potential driver of transmission of COVID-19 outbreak. Understanding the potential drivers of the disease in a local setting is very important for better preparation and management. The outcome of the study can aid in the development of a new analytical model for strategic planning of Zero COVID-19 for securing the public health and wellness, both social and economic, by researchers, scientists, planners, resource managers, and decision-makers.

Suggested Citation

  • 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.
  • Handle: RePEc:gam:jsusta:v:14:y:2022:i:21:p:14150-:d:957705
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    References listed on IDEAS

    as
    1. Daniel Griffith & David Wong, 2007. "Modeling population density across major US cities: a polycentric spatial regression approach," Journal of Geographical Systems, Springer, vol. 9(1), pages 53-75, April.
    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.
    3. Li, Ruiqi & Richmond, Peter & Roehner, Bertrand M., 2018. "Effect of population density on epidemics," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 510(C), pages 713-724.
    4. Fernando Chapa & Srividya Hariharan & Jochen Hack, 2019. "A New Approach to High-Resolution Urban Land Use Classification Using Open Access Software and True Color Satellite Images," Sustainability, MDPI, vol. 11(19), pages 1-23, September.
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