US Centers for Disease Control and Prevention, Atlanta, GA, 30329, USA.
Oak Ridge Institute for Science and Education (ORISE), Oak Ridge, TN, 37830, USA.
BMC Med. 2024 Jan 23;22(1):31. doi: 10.1186/s12916-023-03145-6.
Due to low numbers of active infections and persons presenting to health facilities for malaria treatment, case-based surveillance is inefficient for understanding the remaining disease burden in low malaria transmission settings. Serological data through the detection of IgG antibodies from previous malaria parasite exposure can fill this gap by providing a nuanced picture of where sustained transmission remains. Study enrollment at sites of gathering provides a potential approach to spatially estimate malaria exposure and could preclude the need for more intensive community-based sampling.
This study compared spatial estimates of malaria exposure from cross-sectional school- and community-based sampling in Haiti. A total of 52,405 blood samples were collected from 2012 to 2017. Multiplex bead assays (MBAs) tested IgG against P. falciparum liver stage antigen-1 (LSA-1), apical membrane antigen 1 (AMA1), and merozoite surface protein 1 (MSP1). Predictive geospatial models of seropositivity adjusted for environmental covariates, and results were compared using correlations by coordinate points and communes across Haiti.
Consistent directional associations were observed between seroprevalence and environmental covariates for elevation (negative), air temperature (negative), and travel time to urban centers (positive). Spearman's rank correlation for predicted seroprevalence at coordinate points was lowest for LSA-1 (ρ = 0.10, 95% CI: 0.09-0.11), but improved for AMA1 (ρ = 0.36, 95% CI: 0.35-0.37) and MSP1 (ρ = 0.48, 95% CI: 0.47-0.49).
In settings approaching P. falciparum elimination, case-based prevalence data does not provide a resolution of ongoing malaria transmission in the population. Immunogenic antigen targets (e.g., AMA1, MSP1) that give higher population rates of seropositivity provide moderate correlation to gold standard community sampling designs and are a feasible approach to discern foci of residual P. falciparum transmission in an area.
由于活跃感染和因疟疾到医疗机构治疗人数较少,基于病例的监测对于了解低疟疾传播地区的剩余疾病负担效率低下。通过检测以前疟原虫暴露产生的 IgG 抗体,血清学数据可以提供一个更细微的持续传播地点的图景,从而填补这一空白。在人群聚集点进行研究登记提供了一种空间估计疟疾暴露的潜在方法,并且可以避免更密集的社区抽样的需要。
本研究比较了 2012 年至 2017 年期间在海地进行的基于学校和社区的横断面抽样的空间疟疾暴露估计。共采集了 52405 份血样。多重珠状分析(MBAs)检测了针对恶性疟原虫肝期抗原 1(LSA-1)、顶膜抗原 1(AMA1)和裂殖子表面蛋白 1(MSP1)的 IgG 抗体。调整环境协变量的血清阳性预测地理空间模型,并通过海地各地的坐标点和公社进行比较。
血清阳性率与海拔(负相关)、空气温度(负相关)和到城市中心的旅行时间(正相关)等环境协变量之间观察到一致的方向性关联。坐标点预测血清阳性率的斯皮尔曼等级相关系数最低的是 LSA-1(ρ=0.10,95%CI:0.09-0.11),但 AMA1(ρ=0.36,95%CI:0.35-0.37)和 MSP1(ρ=0.48,95%CI:0.47-0.49)则有所改善。
在接近恶性疟原虫消除的情况下,基于病例的流行率数据无法解决人群中持续存在的疟疾传播问题。免疫原性抗原靶标(如 AMA1、MSP1)在人群中具有更高的血清阳性率,与金标准社区抽样设计具有中等相关性,是识别该地区残留恶性疟原虫传播焦点的可行方法。