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Trends and Spatial Pattern Analysis of Dengue Cases in Northeast Malaysia

OBJECTIVES: Dengue remains hyperendemic in Malaysia despite extensive vector control activities. With dynamic changes in land use, urbanisation and population movement, periodic updates on dengue transmission patterns are crucial to ensure the implementation of effective control strategies. We sough...

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Autores principales: Masrani, Afiqah Syamimi, Nik Husain, Nik Rosmawati, Musa, Kamarul Imran, Yasin, Ahmad Syaarani
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Korean Society for Preventive Medicine 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8841195/
https://www.ncbi.nlm.nih.gov/pubmed/35135051
http://dx.doi.org/10.3961/jpmph.21.461
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author Masrani, Afiqah Syamimi
Nik Husain, Nik Rosmawati
Musa, Kamarul Imran
Yasin, Ahmad Syaarani
author_facet Masrani, Afiqah Syamimi
Nik Husain, Nik Rosmawati
Musa, Kamarul Imran
Yasin, Ahmad Syaarani
author_sort Masrani, Afiqah Syamimi
collection PubMed
description OBJECTIVES: Dengue remains hyperendemic in Malaysia despite extensive vector control activities. With dynamic changes in land use, urbanisation and population movement, periodic updates on dengue transmission patterns are crucial to ensure the implementation of effective control strategies. We sought to assess shifts in the trends and spatial patterns of dengue in Kelantan, a north-eastern state of Malaysia (5°15’N 102°0’E). METHODS: This study incorporated data from the national dengue monitoring system (eDengue system). Confirmed dengue cases registered in Kelantan with disease onset between January 1, 2016 and December 31, 2018 were included in the study. Yearly changes in dengue incidence were mapped by using ArcGIS. Hotspot analysis was performed using Getis-Ord Gi to track changes in the trends of dengue spatial clustering. RESULTS: A total of 10 645 dengue cases were recorded in Kelantan between 2016 and 2018, with an average of 10 dengue cases reported daily (standard deviation, 11.02). Areas with persistently high dengue incidence were seen mainly in the coastal region for the 3-year period. However, the hotspots shifted over time with a gradual dispersion of hotspots to their adjacent districts. CONCLUSIONS: A notable shift in the spatial patterns of dengue was observed. We were able to glimpse the shift of dengue from an urban to peri-urban disease with the possible effect of a state-wide population movement that affects dengue transmission.
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spelling pubmed-88411952022-02-23 Trends and Spatial Pattern Analysis of Dengue Cases in Northeast Malaysia Masrani, Afiqah Syamimi Nik Husain, Nik Rosmawati Musa, Kamarul Imran Yasin, Ahmad Syaarani J Prev Med Public Health Original Article OBJECTIVES: Dengue remains hyperendemic in Malaysia despite extensive vector control activities. With dynamic changes in land use, urbanisation and population movement, periodic updates on dengue transmission patterns are crucial to ensure the implementation of effective control strategies. We sought to assess shifts in the trends and spatial patterns of dengue in Kelantan, a north-eastern state of Malaysia (5°15’N 102°0’E). METHODS: This study incorporated data from the national dengue monitoring system (eDengue system). Confirmed dengue cases registered in Kelantan with disease onset between January 1, 2016 and December 31, 2018 were included in the study. Yearly changes in dengue incidence were mapped by using ArcGIS. Hotspot analysis was performed using Getis-Ord Gi to track changes in the trends of dengue spatial clustering. RESULTS: A total of 10 645 dengue cases were recorded in Kelantan between 2016 and 2018, with an average of 10 dengue cases reported daily (standard deviation, 11.02). Areas with persistently high dengue incidence were seen mainly in the coastal region for the 3-year period. However, the hotspots shifted over time with a gradual dispersion of hotspots to their adjacent districts. CONCLUSIONS: A notable shift in the spatial patterns of dengue was observed. We were able to glimpse the shift of dengue from an urban to peri-urban disease with the possible effect of a state-wide population movement that affects dengue transmission. Korean Society for Preventive Medicine 2022-01 2022-01-06 /pmc/articles/PMC8841195/ /pubmed/35135051 http://dx.doi.org/10.3961/jpmph.21.461 Text en Copyright © 2022 The Korean Society for Preventive Medicine https://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) ) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Article
Masrani, Afiqah Syamimi
Nik Husain, Nik Rosmawati
Musa, Kamarul Imran
Yasin, Ahmad Syaarani
Trends and Spatial Pattern Analysis of Dengue Cases in Northeast Malaysia
title Trends and Spatial Pattern Analysis of Dengue Cases in Northeast Malaysia
title_full Trends and Spatial Pattern Analysis of Dengue Cases in Northeast Malaysia
title_fullStr Trends and Spatial Pattern Analysis of Dengue Cases in Northeast Malaysia
title_full_unstemmed Trends and Spatial Pattern Analysis of Dengue Cases in Northeast Malaysia
title_short Trends and Spatial Pattern Analysis of Dengue Cases in Northeast Malaysia
title_sort trends and spatial pattern analysis of dengue cases in northeast malaysia
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8841195/
https://www.ncbi.nlm.nih.gov/pubmed/35135051
http://dx.doi.org/10.3961/jpmph.21.461
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