Institute for Advanced Medical Research and Training, College of Medicine, University of Ibadan, Ibadan, Nigeria.
PLoS Negl Trop Dis. 2013 Sep 5;7(9):e2416. doi: 10.1371/journal.pntd.0002416. eCollection 2013.
Nigeria has a significant burden of lymphatic filariasis (LF) caused by the parasite Wuchereria bancrofti. A major concern to the expansion of the LF elimination programme is the risk of serious adverse events (SAEs) associated with the use of ivermectin in areas co-endemic with Loa filariasis. To better understand this, as well as other factors that may impact on LF elimination, we used Micro-stratification Overlap Mapping (MOM) to highlight the distribution and potential impact of multiple disease interventions that geographically coincide in LF endemic areas and which will impact on LF and vice versa.
METHODOLOGY/PRINCIPAL FINDINGS: LF data from the literature and Federal Ministry of Health (FMoH) were collated into a database. LF prevalence distributions; predicted prevalence of loiasis; ongoing onchocerciasis community-directed treatment with ivermectin (CDTi); and long-lasting insecticidal mosquito net (LLIN) distributions for malaria were incorporated into overlay maps using geographical information system (GIS) software. LF was prevalent across most regions of the country. The mean prevalence determined by circulating filarial antigen (CFA) was 14.0% (n = 134 locations), and by microfilaria (Mf) was 8.2% (n = 162 locations). Overall, LF endemic areas geographically coincided with CDTi priority areas, however, LLIN coverage was generally low (<50%) in areas where LF prevalence was high or co-endemic with L. loa.
CONCLUSIONS/SIGNIFICANCE: The extensive database and series of maps produced in this study provide an important overview for the LF Programme and will assist to maximize existing interventions, ensuring cost effective use of resources as the programme scales up. Such information is a prerequisite for the LF programme, and will allow for other factors to be included into planning, as well as monitoring and evaluation activities given the broad spectrum impact of the drugs used.
尼日利亚有大量淋巴丝虫病(LF)负担,由寄生虫班氏吴策线虫引起。扩大 LF 消除规划的一个主要关注点是在罗阿丝虫病流行地区使用伊维菌素与严重不良事件(SAE)相关的风险。为了更好地了解这一点,以及可能影响 LF 消除的其他因素,我们使用微分层重叠映射(MOM)来突出显示在 LF 流行地区在地理上重合的多种疾病干预措施的分布和潜在影响,这些措施将影响 LF,反之亦然。
方法/主要发现:从文献和联邦卫生部(FMoH)收集 LF 数据并将其整理到数据库中。LF 流行率分布;预测的旋毛虫病流行率;正在进行的伊维菌素社区定向治疗(CDTi);以及用于疟疾的长效驱虫蚊帐(LLIN)分布,使用地理信息系统(GIS)软件将其纳入覆盖图中。LF 在该国的大多数地区都很普遍。通过循环丝状抗原(CFA)确定的平均流行率为 14.0%(n=134 个地点),通过微丝蚴(Mf)确定的流行率为 8.2%(n=162 个地点)。总体而言,LF 流行地区与 CDTi 优先地区在地理上重合,然而,在 LF 流行率高或与 L. loa 共存的地区,LLIN 覆盖率普遍较低(<50%)。
结论/意义:本研究中制作的广泛数据库和一系列地图为 LF 规划提供了重要概述,并将有助于最大限度地利用现有干预措施,确保随着规划的扩大,资源的有效利用。此类信息是 LF 规划的前提条件,并将允许将其他因素纳入规划,以及监测和评估活动,因为所使用药物的影响范围广泛。