Raso Giovanna, Silué Kigbafori D, Vounatsou Penelope, Singer Burton H, Yapi Ahoua, Tanner Marcel, Utzinger Jürg, N'Goran Eliézer K
Département Environnement et Santé, Centre Suisse de Recherches Scientifiques, Abidjan, Côte d'Ivoire.
Malar J. 2009 Nov 11;8:252. doi: 10.1186/1475-2875-8-252.
The objective of this study was to identify demographic, environmental and socioeconomic risk factors and spatial patterns of Plasmodium falciparum parasitaemia in a high endemicity area of Africa, and to specify how this information can facilitate improved malaria control at the district level.
A questionnaire was administered to about 4,000 schoolchildren in 55 schools in western Côte d'Ivoire to determine children's socioeconomic status and their habit of sleeping under bed nets. Environmental data were obtained from satellite images, digitized ground maps and a second questionnaire addressed to school directors. Finger prick blood samples were collected and P. falciparum parasitaemia determined under a microscope using standardized, quality-controlled methods. Bayesian variogram models were utilized for spatial risk modelling and mapping of P. falciparum parasitaemia at non-sampled locations, assuming stationary and non-stationary underlying spatial dependence.
Two-thirds of the schoolchildren were infected with P. falciparum and the mean parasitaemia among infected children was 959 parasites/microl of blood. Age, socioeconomic status, not sleeping under a bed net, coverage rate with bed nets and environmental factors (e.g., normalized difference vegetation index, rainfall, land surface temperature and living in close proximity to standing water) were significantly associated with the risk of P. falciparum parasitaemia. After accounting for spatial correlation, age, bed net coverage, rainfall during the main malaria transmission season and distance to rivers remained significant covariates.
It is argued that a massive increase in bed net coverage, particularly in villages in close proximity to rivers, in concert with other control measures, is necessary to bring malaria endemicity down to intermediate or low levels.
本研究的目的是确定非洲高流行地区恶性疟原虫血症的人口统计学、环境和社会经济风险因素及空间模式,并明确这些信息如何有助于在地区层面改善疟疾控制。
对科特迪瓦西部55所学校的约4000名学童进行问卷调查,以确定儿童的社会经济状况及其使用蚊帐睡觉的习惯。环境数据来自卫星图像、数字化地面地图以及向学校负责人发放的第二份问卷。采集手指刺血样本,并使用标准化、质量控制的方法在显微镜下测定恶性疟原虫血症。假设潜在空间依赖性为平稳和非平稳,利用贝叶斯变异函数模型对未采样地点的恶性疟原虫血症进行空间风险建模和绘图。
三分之二的学童感染了恶性疟原虫,感染儿童的平均疟原虫血症为每微升血液959个疟原虫。年龄、社会经济状况、不使用蚊帐睡觉、蚊帐覆盖率以及环境因素(如归一化植被指数、降雨量、地表温度和居住在靠近积水处)与恶性疟原虫血症风险显著相关。在考虑空间相关性后,年龄、蚊帐覆盖率、主要疟疾传播季节的降雨量以及与河流的距离仍然是显著的协变量。
有人认为,大幅提高蚊帐覆盖率,特别是在靠近河流的村庄,同时采取其他控制措施,对于将疟疾流行程度降至中低水平是必要的。