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马来西亚东北部登革热病例的趋势和空间模式分析。

Trends and Spatial Pattern Analysis of Dengue Cases in Northeast Malaysia.

机构信息

Department of Community Medicine, School of Medical Sciences, Health Campus, Universiti Sains Malaysia, Kota Bharu, Malaysia.

Vector Unit, Kelantan State Health Department, Kota Bharu, Malaysia.

出版信息

J Prev Med Public Health. 2022 Jan;55(1):80-87. doi: 10.3961/jpmph.21.461. Epub 2022 Jan 6.

Abstract

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.

摘要

目的

尽管马来西亚开展了广泛的病媒控制活动,但登革热仍高度流行。随着土地利用、城市化和人口流动的动态变化,定期更新登革热传播模式对于确保实施有效的控制策略至关重要。我们试图评估马来西亚东北部的吉兰丹州(5°15'N 102°0'E)登革热趋势和空间模式的变化。

方法

本研究纳入了国家登革热监测系统(eDengue 系统)的数据。纳入研究的是 2016 年 1 月 1 日至 2018 年 12 月 31 日期间在吉兰丹州发病的确诊登革热病例。使用 ArcGIS 绘制登革热发病率的年度变化图。使用 Getis-Ord Gi 进行热点分析,以跟踪登革热空间聚类趋势的变化。

结果

2016 年至 2018 年间,吉兰丹共记录了 10645 例登革热病例,平均每天报告 10 例(标准差为 11.02)。在这 3 年期间,沿海地区一直存在高发病率的登革热高发地区。然而,热点随着时间的推移而转移,热点逐渐分散到其相邻的区。

结论

观察到登革热空间模式的显著变化。我们能够瞥见登革热从城市疾病向城市周边疾病的转变,可能是全州人口流动影响登革热传播的结果。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5f7d/8841195/19ff464794c4/jpmph-21-461f1.jpg

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