Department of Microbiology, Faculty of Medicine, Khon Kaen University, Khon Kaen 40002, Thailand.
Department of Parasitology, Faculty of Medicine, Khon Kaen University, Khon Kaen 40002, Thailand.
Acta Trop. 2024 Aug;256:107229. doi: 10.1016/j.actatropica.2024.107229. Epub 2024 May 18.
Laos is a hyperendemic country of all 4 dengue serotypes. Various factors contribute to the spread of the disease including viral itself, vectors, and environment. This study aims to analyze dengue data and its incidence in nine districts of Vientiane Capital, Laos spanning from 2019 to 2021 by data collected from Mittaphab Hospital. The Maximum Entropy algorithm (MaxEnt) was applied to assess spatial distribution and identify high-probability locations for dengue occurrence by analyzing crucial environmental and climatic conditions. Dengue cases were more prominent in female (54.88 %) and highest case number was found in worker group (29.02 %) followed by student (28.47 %) and officer (16.92 %). In this study, the age group 21-30 years old had the highest infection rate (42.23 %), followed by 10-20 years old (24.21 %). Most of dengue cases was primary infection (91.61 %). Dengue serotype 2 predominated in 2019 and 2020 and substitute by serotype 1 in 2021. Across the nine districts of Vientiane Capital, the highest incidence of dengue was found in Xaythany district population in 2019, shifting to Chanthabouly district in 2020 and 2021. The MaxEnt revealed potentially most suitable areas for dengue were widely distributed central south part of Vientiane, Laos. Additionally, the best predictive variable for dengue occurrence was normalized difference vegetation index. Understanding of case characteristics and spatial distribution features of dengue will be helpful in effective surveillance and disease control in the future.
老挝是所有 4 种登革热血清型的高度流行国家。多种因素导致疾病传播,包括病毒本身、媒介和环境。本研究旨在通过分析万象首都九个区 2019 年至 2021 年 Mittaphab 医院收集的数据,分析登革热数据及其发病率。应用最大熵算法(MaxEnt)分析关键环境和气候条件,评估空间分布并确定登革热发生的高概率地点。女性(54.88%)的登革热病例更为突出,工人(29.02%)是病例数量最多的群体,其次是学生(28.47%)和官员(16.92%)。在这项研究中,21-30 岁年龄组的感染率最高(42.23%),其次是 10-20 岁年龄组(24.21%)。大多数登革热病例为初次感染(91.61%)。登革热血清型 2 在 2019 年和 2020 年占主导地位,而在 2021 年则被血清型 1 取代。在万象首都的九个区中,2019 年 Xaythany 区的登革热发病率最高,2020 年和 2021 年则转移到 Chanthabouly 区。MaxEnt 揭示了老挝万象中南部地区是最适合登革热的潜在区域。此外,登革热发生的最佳预测变量是归一化差异植被指数。了解登革热病例特征和空间分布特征将有助于未来进行有效的监测和疾病控制。