阿曼登革热疫情的决定因素调查：在塞卜的一项研究
Investigating the Determinants of Dengue Outbreak in Oman: A Study in Seeb.
作者信息
Al-Manji Abdullah, Wirayuda Anak Agung Bagus, Al Wahaibi Adil, Al-Azri Mohammed, Chan Moon Fai
机构信息
Department of Family Medicine and Public Health, Sultan Qaboos University, Muscat, Oman.
Faculty of Medicine and Health, Institut Teknologi Sepuluh Nopember, Surabaya, Indonesia.
出版信息
J Epidemiol Glob Health. 2024 Dec;14(4):1464-1475. doi: 10.1007/s44197-024-00324-3. Epub 2024 Nov 4.
OBJECTIVE
This study investigates the key factors contributing to the dengue outbreak in Oman.
METHODS
Data on climate (e.g., temperature, humidity, wind pace), population traits (e.g., populace density), and vector dynamics (e.g., mosquito density) within the Seeb district of Oman from 2022 to 2023 were gathered. The partial least squares structural equation modeling (PLS-SEM) was performed to study which variables affect dengue outbreaks.
RESULTS
The results indicate that climatic factors significantly affect the dengue vector (β = -0.361, p < 0.001) but do not directly impact the dengue outbreak. Population characteristics, however, have a more substantial impact on dengue transmission, with a total effect (β = 0.231, p = 0.002) being relatively higher than that of the vector itself (total effect: β = 0.116, p < 0.001).
CONCLUSIONS
Even with ongoing vector intervention efforts, the study underscores the need to include innovative public health interventions when considering environmental and demographic factors. More advantageous surveillance and focused interventions in excessive-threat regions are essential to mitigate the effect of dengue in Oman.
目的
本研究调查促成阿曼登革热疫情爆发的关键因素。
方法
收集了2022年至2023年阿曼塞卜地区内的气候数据（如温度、湿度、风速）、人口特征（如人口密度）和病媒动态（如蚊子密度）。采用偏最小二乘结构方程模型（PLS-SEM）来研究哪些变量影响登革热疫情爆发。
结果
结果表明，气候因素对登革热媒介有显著影响（β = -0.361，p < 0.001），但对登革热疫情爆发没有直接影响。然而，人口特征对登革热传播的影响更大，其总效应（β = 0.231，p = 0.002）相对高于病媒本身的总效应（总效应：β = 0.116，p < 0.001）。
结论
即使持续开展病媒干预工作，该研究强调在考虑环境和人口因素时需要纳入创新的公共卫生干预措施。在高风险地区开展更有效的监测和针对性干预对于减轻登革热在阿曼的影响至关重要。
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