Outbreak Research Team, Institute of Tropical Medicine, Antwerpen, Belgium
Unit Entomology, Institute of Tropical Medicine, Antwerpen, Belgium.
BMJ Glob Health. 2022 Dec;7(12). doi: 10.1136/bmjgh-2022-009674.
Long-lasting insecticidal nets (LLINs) are one of the key interventions in the global fight against malaria. Since 2014, mass distribution campaigns of LLINs aim for universal access by all citizens of Burundi. In this context, we assess the impact of LLINs mass distribution campaigns on malaria incidence, focusing on the endemic highland health districts. We also explored the possible correlation between observed trends in malaria incidence with any variations in climate conditions.
Malaria cases for 2011-2019 were obtained from the National Health Information System. We developed a generalised additive model based on a time series of routinely collected data with malaria incidence as the response variable and timing of LLIN distribution as an explanatory variable to investigate the duration and magnitude of the LLIN effect on malaria incidence. We added a seasonal and continuous-time component as further explanatory variables, and health district as a random effect to account for random natural variation in malaria cases between districts.
Malaria transmission in Burundian highlands was clearly seasonal and increased non-linearly over the study period. Further, a fast and steep decline of malaria incidence was noted during the first year after mass LLIN distribution (p<0.0001). In years 2 and 3 after distribution, malaria cases started to rise again to levels higher than before the control intervention.
This study highlights that LLINs did reduce the incidence in the first year after a mass distribution campaign, but in the context of Burundi, LLINs lost their impact after only 1 year.
长效杀虫蚊帐(LLINs)是全球抗击疟疾的关键干预措施之一。自 2014 年以来,布隆迪大规模分发 LLINs,旨在让所有公民都能获得 LLINs。在此背景下,我们评估了 LLINs 大规模分发活动对疟疾发病率的影响,重点关注地方性高地卫生区。我们还探讨了疟疾发病率的观察趋势与气候条件变化之间可能存在的相关性。
2011-2019 年的疟疾病例数据来自国家卫生信息系统。我们开发了一个基于常规收集数据的时间序列的广义加性模型,将疟疾发病率作为响应变量,LLIN 分发时间作为解释变量,以调查 LLIN 对疟疾发病率的影响的持续时间和幅度。我们添加了季节性和连续时间成分作为进一步的解释变量,并将卫生区作为随机效应,以解释疟疾病例在各地区之间的随机自然变化。
布隆迪高地的疟疾传播明显具有季节性,且在研究期间呈非线性增加。此外,在大规模 LLIN 分发后的第一年,疟疾发病率迅速下降(p<0.0001)。在分发后的第 2 年和第 3 年,疟疾病例开始再次上升,达到高于对照干预前的水平。
本研究表明,LLINs 在大规模分发活动后的第一年确实降低了发病率,但在布隆迪的情况下,LLINs 在 1 年后就失去了效果。