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Distribution and Spatial Pattern Analysis on Dengue Cases in Seremban District, Negeri Sembilan, Malaysia

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  • Nuriah Abd Majid

    (Institute for Environment and Development (LESTARI), University Kebangsaan Malaysia, Bangi 43600, Selangor Darul Ehsan, Malaysia)

  • Nurafiqah Muhamad Nazi

    (Institute for Environment and Development (LESTARI), University Kebangsaan Malaysia, Bangi 43600, Selangor Darul Ehsan, Malaysia)

  • Ahmad Fariz Mohamed

    (Institute for Environment and Development (LESTARI), University Kebangsaan Malaysia, Bangi 43600, Selangor Darul Ehsan, Malaysia)

Abstract

Dengue fever disease increases alongside urbanization rate in tropical countries. Hence, the need to visualize the distribution pattern of increases is vital for the management of dengue cases, especially in Malaysia. Thus, the dengue surveillance system is proposed for the monitoring of dengue cases using computer-generated modeling for spatial distribution patterns, which is important for management and control. The present study performed distribution and spatial pattern analysis of dengue cases reported in the growing Seremban district in Negeri Sembilan, Malaysia in 2008 and 2009. The purpose of the study is to evaluate the pattern of distribution and determine whether it is clustered or dispersed. A total of 1401 and 1056 cases for dengue-related diseases were reported by the Ministry of Health Malaysia in Seremban district in the years 2008 and 2009, respectively. Three spatial statistical analysis were conducted: Spatial mean center, directional distribution, and standard distant on distribution of dengue cases reported. This study found that the distribution pattern for dengue cases is clustered. Spatial mean center and directional distribution for both sets of years have slight differences. Meanwhile, standard distance for dengue cases reported in the year 2008 is 22,085.82 m, which is bigger than dengue cases reported in 2009, showing a standard distance of 20,318.35 m. More sets of cases throughout years are required in further studies to identify factors that contribute to dengue epidemiology in the Seremban district undergoing urbanization.

Suggested Citation

  • Nuriah Abd Majid & Nurafiqah Muhamad Nazi & Ahmad Fariz Mohamed, 2019. "Distribution and Spatial Pattern Analysis on Dengue Cases in Seremban District, Negeri Sembilan, Malaysia," Sustainability, MDPI, vol. 11(13), pages 1-14, June.
    • Handle: RePEc:gam:jsusta:v:11:y:2019:i:13:p:3572-:d:243852
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    References listed on IDEAS

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    1. Anders Alexandersson, 2004. "Graphing confidence ellipses: An update of ellip for Stata 8," Stata Journal, StataCorp LP, vol. 4(3), pages 242-256, September.
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    1. Adivânia Cardoso da Silva & Paulo Sérgio Scalize, 2023. "Environmental Variables Related to Aedes aegypti Breeding Spots and the Occurrence of Arbovirus Diseases," Sustainability, MDPI, vol. 15(10), pages 1-21, May.
    2. Mohd ‘Ammar Ihsan Ahmad Zamzuri & Farah Nabila Abd Majid & Rahmat Dapari & Mohd Rohaizat Hassan & Abd Majid Mohd Isa, 2022. "Perceived Risk for Dengue Infection Mediates the Relationship between Attitude and Practice for Dengue Prevention: A Study in Seremban, Malaysia," IJERPH, MDPI, vol. 19(20), pages 1-17, October.
    3. Rakhohori Bag & Manoranjan Ghosh & Bapan Biswas & Mitrajit Chatterjee, 2020. "Understanding the spatio‐temporal pattern of COVID‐19 outbreak in India using GIS and India's response in managing the pandemic," Regional Science Policy & Practice, Wiley Blackwell, vol. 12(6), pages 1063-1103, December.

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