School of Public Health, Université de Montréal, Montréal, Québec, Canada.
Public Health Research Center, Université de Montréal, Montréal, Québec, Canada.
Sci Rep. 2022 Jul 7;12(1):11537. doi: 10.1038/s41598-022-15654-0.
Studies have estimated the impact of the environment on malaria incidence although few have explored the differential impact due to malaria control interventions. Therefore, the objective of the study was to evaluate the effect of indoor residual spraying (IRS) on the relationship between malaria and environment (i.e. rainfall, temperatures, humidity, and vegetation) using data from a dynamic cohort of children from three sub-counties in Uganda. Environmental variables were extracted from remote sensing sources and averaged over different time periods. General linear mixed models were constructed for each sub-counties based on a log-binomial distribution. The influence of IRS was analysed by comparing marginal effects of environment in models adjusted and unadjusted for IRS. Great regional variability in the shape (linear and non-linear), direction, and magnitude of environmental associations with malaria risk were observed between sub-counties. IRS was significantly associated with malaria risk reduction (risk ratios vary from RR = 0.03, CI 95% [0.03-0.08] to RR = 0.35, CI95% [0.28-0.42]). Model adjustment for this intervention changed the magnitude and/or direction of environment-malaria associations, suggesting an interaction effect. This study evaluated the potential influence of IRS in the malaria-environment association and highlighted the necessity to control for interventions when they are performed to properly estimate the environmental influence on malaria. Local models are more informative to guide intervention program compared to national models.
研究已经估计了环境对疟疾发病率的影响,尽管很少有研究探讨疟疾控制干预措施造成的差异影响。因此,本研究的目的是使用来自乌干达三个次级县的动态儿童队列的数据,评估室内滞留喷洒(IRS)对疟疾与环境(即降雨量、温度、湿度和植被)之间关系的影响。环境变量从遥感源中提取,并在不同时间段内平均。根据对数二项式分布,为每个次级县构建了一般线性混合模型。通过比较 IRS 调整和未调整模型中环境的边际效应来分析 IRS 的影响。在次级县之间观察到疟疾风险与环境之间的关联的形状(线性和非线性)、方向和幅度存在显著的区域差异。IRS 与疟疾风险降低显著相关(风险比从 RR=0.03,95%CI[0.03-0.08]到 RR=0.35,95%CI[0.28-0.42]不等)。对该干预措施进行模型调整改变了环境与疟疾关联的幅度和/或方向,表明存在交互作用。本研究评估了 IRS 对疟疾-环境关联的潜在影响,并强调在进行干预时需要控制干预措施,以便正确估计环境对疟疾的影响。与国家模型相比,本地模型更有助于指导干预计划。