Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, NC, USA.
Muhimbili University of Health and Allied Sciences, Dar es Salam, Tanzania.
Malar J. 2022 Mar 9;21(1):80. doi: 10.1186/s12936-022-04107-8.
Transmission of malaria in sub-Saharan Africa has become increasingly stratified following decades of malaria control interventions. The extent to which environmental and land cover risk factors for malaria may differ across distinct strata of transmission intensity is not well known and could provide actionable targets to maximize the success of malaria control efforts.
This study used cross-sectional malaria survey data from a nationally representative cohort of school-aged children in Tanzania, and satellite-derived measures for environmental features and land cover. Hierarchical logistic regression models were applied to evaluate associations between land cover and malaria prevalence within three distinct strata of transmission intensity: low and unstable, moderate and seasonal, and high and perennial.
In areas with low malaria transmission, each 10-percentage point increase in cropland cover was associated with an increase in malaria prevalence odds of 2.44 (95% UI: 1.27, 5.11). However, at moderate and higher levels of transmission intensity, no association between cropland cover and malaria prevalence was detected. Small associations were observed between greater grassland cover and greater malaria prevalence in high intensity settings (prevalence odds ratio (POR): 1.10, 95% UI: 1.00, 1.21), and between greater forest cover and reduced malaria prevalence in low transmission areas (POR: 0.74, 95% UI: 0.51, 1.03), however the uncertainty intervals of both estimates included the null.
The intensity of malaria transmission appears to modify relationships between land cover and malaria prevalence among school-aged children in Tanzania. In particular, greater cropland cover was positively associated with increased malaria prevalence in areas with low transmission intensity and presents an actionable target for environmental vector control interventions to complement current malaria control activities. As areas are nearing malaria elimination, it is important to re-evaluate environmental risk factors and employ appropriate interventions to effectively address low-level malaria transmission.
在撒哈拉以南非洲,经过几十年的疟疾控制干预,疟疾传播变得越来越分层。环境和土地覆盖等疟疾风险因素在不同传播强度的分层中可能存在差异,但目前尚不清楚这种差异,而了解这些差异可以为疟疾控制工作提供切实可行的目标,以最大限度地提高其成功的可能性。
本研究使用了坦桑尼亚全国代表性的学龄儿童队列的横断面疟疾调查数据和卫星衍生的环境特征和土地覆盖措施。应用分层逻辑回归模型评估了土地覆盖与三种不同传播强度分层(低且不稳定、中且季节性、高且持续性)内疟疾流行率之间的关联。
在疟疾传播率较低的地区,耕地覆盖率每增加 10 个百分点,疟疾流行率的优势比(OR)增加 2.44(95%可信区间(CI):1.27,5.11)。然而,在中高传播强度地区,未发现耕地覆盖率与疟疾流行率之间存在关联。在高传播强度地区,草地覆盖率与较高的疟疾流行率之间存在较小的关联(流行率 OR(POR):1.10,95%CI:1.00,1.21),而在低传播地区,森林覆盖率与疟疾流行率降低有关(POR:0.74,95%CI:0.51,1.03),然而,这两个估计值的置信区间均包含零值。
疟疾传播的强度似乎改变了坦桑尼亚学龄儿童中土地覆盖与疟疾流行率之间的关系。特别是,在低传播强度地区,耕地覆盖率的增加与疟疾流行率的增加呈正相关,这为环境媒介控制干预提供了一个可行的目标,以补充当前的疟疾控制活动。随着地区接近消除疟疾,重新评估环境风险因素并采取适当的干预措施以有效应对低水平的疟疾传播非常重要。