Spatial and Temporal Distributions Pattern of Dengue Fever Cases: A Ten Years Trends in Kuantan, Pahang

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Published: May 31, 2022
Keywords:
Dengue, Spatial analysis, Moran’s I, LISA, GIS, Temporal

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Zulkifli Abdul Hadi
Centre of Environmental Health and Safety, Faculty of Health Sciences, Universiti Teknologi MARA Selangor, Malaysia
Nazri Che Dom
Centre of Environmental Health and Safety, Faculty of Health Sciences, Universiti Teknologi MARA Selangor, Malaysia
Siti Aekbal Salleh
Institute for Biodiversity and Sustainable Development (IBSD), Universiti Teknologi MARA, 40450, Shah Alam, Selangor, Malaysia
Nurul Ain Mohd Zaki
Institute for Biodiversity and Sustainable Development (IBSD), Universiti Teknologi MARA, 40450, Shah Alam, Selangor, Malaysia
Hasber Salim
School of Biological Sciences, Universiti Sains Malaysia, Penang, Malaysia
Nopadol Precha
Department of Environmental Health and Technology, School of Public Health, Walailak University, Nakhon Si Thammarat, Thailand

Abstract

Introduction: Dengue fever (DF) is a prominent vector-borne disease spread by mosquitos of the Aedes genus (main- ly Aedes aegypti, and even Aedes albopictus), a tropical regions vector. The purpose of this research was to establish the spatial and temporal distribution patterns of DF cases in the study area between 2010 and 2020. Methods: The correlation between the Kuantan sub-district and dengue haemorrhagic fever (DHF) incidence is examined in this study using spatial analysis. The correlation was calculated using spatial autocorrelation, Moran’s Index (Moran’s I) and Spatial Autocorrelation of Local Indicators (LISA). Moran’s index is a worldwide indicator used to determine whether or not disease transmission has geographical autocorrelation in disease transmission. Results: The results indicated that between 2011 and 2020, the monthly Moran’s I of dengue transmission in Kuantan was estimated to range between -0.685 and 0.338. The lowest reading of Moran’s index was -0.685 in May 2015, whereas the highest reading was 0.338 in May 2019. This reflects the strong spatial autocorrelation of dengue transmission in Kuantan over the last decade. The LISA analysis revealed significant spatial autocorrelations on DF cases in Kuantan for three (3) out of six (6) sub-districts (50%) with a significance level of 2%. This suggests that there are spatial au- tocorrelations in Kuala Kuantan, Beserah and Penor sub-district that influence the distribution of DHF transmission. Conclusion: The results reveal that the spatial autocorrelation analysis method can be a tool for relevant researchers to understand the pattern of DF transmission study and establish the direction for further study.

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How to Cite
Abdul Hadi, Z., Che Dom, N., Salleh, S. A., Mohd Zaki, N. A., Salim, H., & Precha, N. (2022). Spatial and Temporal Distributions Pattern of Dengue Fever Cases: A Ten Years Trends in Kuantan, Pahang. Malaysian Journal of Medicine and Health Sciences, 18(3), 118–124. Retrieved from http://mjmhsojs.upm.edu.my/index.php/mjmhs/article/view/158
Issue
Vol. 18 No. 3 (2022)
Section
Original Articles

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