Seth Misago D, Popkin-Hall Zachary R, Madebe Rashid A, Budodo Rule, Bakari Catherine, Lyimo Beatus M, Giesbrecht David, Moshi Ramadhani, Mbwambo Ruth B, Francis Filbert, Pereus Dativa, Mbata Doris, Challe Daniel P, Mandai Salehe S, Chacha Gervas A, Kisambale Angelina J, Mbwambo Daniel, Aaron Sijenunu, Lusasi Abdallah, Lazaro Samwel, Mandara Celine I, Bailey Jeffrey A, Juliano Jonathan J, Gutman Julie R, Ishengoma Deus S
National Institute for Medical Research, P. O. Box 9653, Dar es Salaam, Tanzania.
National Institute for Medical Research, Tanga, Tanzania.
Malar J. 2025 Mar 26;24(1):101. doi: 10.1186/s12936-025-05341-6.
Subpatent Plasmodium falciparum infections, defined as infections with parasite density below the detection limit of routine malaria diagnostic tests, contribute to infectious reservoirs, sustain transmission, and cause the failure of elimination strategies in target areas. This study assessed the prevalence of subpatent P. falciparum infections and associated risk factors in 14 regions of Mainland Tanzania.
The study used samples randomly selected from RDT-negative dried blood spots (DBS) (n = 2685/10,101) collected in 2021 at 100 health facilities across 10 regions of Mainland Tanzania, and four communities in four additional regions. The regions were selected from four transmission strata; high (five regions), moderate (three regions), low (three regions), and very low (three regions). DNA was extracted by Tween-Chelex method, and the Pf18S rRNA gene was amplified by quantitative polymerase chain reaction (qPCR). Logistic regression analysis was used to assess the associations between age groups, sex, fever status, and transmission strata with subpatent infection status, while linear regression analysis was used to assess the association between these factors and subpatent parasite density.
Of the selected samples, 525/2685 (19.6%) were positive by qPCR for P. falciparum, and the positivity rates varied across different regions. Under-fives (aOR: 1.4, 95% CI 1.04-1.88; p < 0.05) from health facilities had higher odds of subpatent infections compared to other groups, while those from community surveys (aOR: 0.33, 95% CI 0.15-0.72; p = 0.005) had lower odds. Participants from very low transmission stratum had significantly lower odds of subpatent infection compared to those from high transmission stratum (aOR = 0.53, 95% CI = 0.37-0.78; p < 0.01). The log-transformed median parasite density (interquartile range) was 6.9 (5.8-8.5) parasites/µL, with significantly higher parasitaemia in the low transmission stratum compared to a very low one (11.4 vs 7.0 parasites/µL, p < 0.001).
Even in very low transmission settings, the prevalence of subpatent infections was 13%, and in low transmission settings it was even higher at 29.4%, suggesting a substantial reservoir that is likely to perpetuate transmission but can be missed by routine malaria case management strategies. Thus, control and elimination programmes may benefit from adoption of more sensitive detection methods to ensure that a higher proportion of subpatent infections are detected.
亚专利疟原虫感染被定义为寄生虫密度低于常规疟疾诊断检测下限的感染,它会形成感染源,维持传播,并导致目标地区消除疟疾策略的失败。本研究评估了坦桑尼亚大陆14个地区亚专利恶性疟原虫感染的流行情况及相关危险因素。
该研究使用了从2021年在坦桑尼亚大陆10个地区的100个医疗机构以及另外4个地区的4个社区收集的快速诊断试验(RDT)阴性干血斑(DBS)中随机选取的样本(n = 2685/10101)。这些地区从四个传播层次中选取;高传播区(5个地区)、中传播区(3个地区)、低传播区(3个地区)和极低传播区(3个地区)。采用吐温 - 螯合树脂法提取DNA,并通过定量聚合酶链反应(qPCR)扩增Pf18S rRNA基因。使用逻辑回归分析评估年龄组、性别、发热状况和传播层次与亚专利感染状况之间的关联,同时使用线性回归分析评估这些因素与亚专利寄生虫密度之间的关联。
在所选取的样本中,525/2685(19.6%)通过qPCR检测为恶性疟原虫阳性,且不同地区的阳性率有所不同。与其他组相比,来自医疗机构的5岁以下儿童(调整后比值比:1.4,95%置信区间1.04 - 1.88;p < 0.05)亚专利感染几率更高,而来自社区调查的儿童(调整后比值比:0.33,95%置信区间0.15 - 0.72;p = 0.005)感染几率较低。与高传播层次地区的参与者相比,极低传播层次地区的参与者亚专利感染几率显著更低(调整后比值比 = 0.53,95%置信区间 = 0.37 - 0.78;p < 0.01)。经对数转换的寄生虫密度中位数(四分位间距)为6.9(5.8 - 8.5)个寄生虫/微升,低传播层次地区的寄生虫血症显著高于极低传播层次地区(11.4对7.0个寄生虫/微升,p < 0.001)。
即使在极低传播环境中,亚专利感染的患病率仍为13%,在低传播环境中甚至更高,达到29.4%,这表明存在一个很大的感染源,可能会使传播持续存在,但常规疟疾病例管理策略可能会遗漏这些感染。因此,控制和消除疟疾项目可能会受益于采用更敏感的检测方法,以确保检测到更高比例的亚专利感染。