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Spatio-temporal analysis of association between incidence of malaria and environmental predictors of malaria transmission in Nigeria

机译:尼日利亚疟疾疟疾发生率与环境预测因子之间的时空分析

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Malaria still poses a significant threat in Nigeria despite the various efforts to abate its transmission. Certain environmental factors have been implicated to increase the risk of malaria in Nigeria and other affected countries. The study aimed to evaluate the spatial and temporal association between the incidence of malaria and some environmental risk factors in Nigeria. The study used malaria incidence and environmental risk factors data emanating from 2015 Nigeria Malaria Indicator Survey accessed from the Demographic and Health Survey database. A total of 333 and 326 clusters throughout the country were used for malaria incidence study and environmental variables respectively. The spatial autocorrelation of malaria incidence and hotspot analysis was determined by the Moran's diagram and local Moran's I index, respectively. The relationships between the malaria incidence and the ecological predictors of transmission were analysed in all the six geopolitical zones of Nigeria from 2000-2015 using ordinary least square (OLS), spatial lag model (SLM), and spatial error model (SEM). Annual rainfall, precipitation and proximity to water showed significant positive relationship with the incidence rate of malaria in the OLS model (P??0.01), whereas aridity was negatively related to malaria incidence (P??0.001) in the same model. The rate of incidence of malaria increased significantly with increase in temperature, aridity, rainfall and proximity to water in the SEM whereas only temperature and proximity to water have significant positive effect on malaria incidence in the SLM. The modelling of the ecological predictors of malaria transmission and spatial maps provided in this study could aid in developing framework to mitigate malaria and identify its hotspots for urgent intervention in the endemic regions.
机译:疟疾仍然在尼日利亚在尼日利亚造成了重大威胁,尽管有各种努力来减少其传播。某些环境因素涉及增加尼日利亚和其他受影响国家疟疾的风险。该研究旨在评估疟疾发生率与尼日利亚环境风险因素之间的空间和时间关联。该研究使用了来自人口和健康调查数据库的2015年尼日利亚疟疾指标调查的疟疾发病率和环境风险因素数据。全国共有333和326个集群分别用于疟疾发生率研究和环境变量。疟疾发病率和热点分析的空间自相关分别由莫兰的图和本地莫兰的I指数决定。在2000 - 2015年使用普通最小二乘(OLS),空间滞后模型(SLM)和空间误差模型(SEM),在尼日利亚的所有六个地缘政治区域中分析了疟疾发病率与生态预测因子的关系。对水的每年降雨量,降水和邻近水与OLS模型中疟疾发生率显着阳性关系(P?<?0.01),而干燥与相同模型中的疟疾发病率(p≤0.001)呈负相关。疟疾的发病率显着增加了SEM中的温度,干旱,降雨和水的近距离增加,而仅对水的温度和近距离对SLM中的疟疾发病率具有显着的积极作用。本研究中提供的疟疾传输和空间地图的生态预测因子的建模可以有助于开发框架,以减轻疟疾,并确定其在地方性区域紧急干预的热点。

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