McCarthy Kevin A, Wenger Edward A, Huynh Grace H, Eckhoff Philip A
Institute for Disease Modeling, 1555 132nd Ave NE, Bellevue, WA 98005, USA.
Malar J. 2015 Jan 7;14:6. doi: 10.1186/1475-2875-14-6.
A pre-erythrocytic vaccine could provide a useful tool for burden reduction and eventual eradication of malaria. Mathematical malaria models provide a mechanism for evaluating the effective burden reduction across a range of transmission conditions where such a vaccine might be deployed.
The EMOD model is an individual-based model of malaria transmission dynamics, including vector lifecycles and species-specific behaviour, coupled to a mechanistic intrahost model of malaria parasite and host immune system dynamics. The present work describes the extension of the EMOD model to include diagnoses of severe malaria and iterative calibration of the immune system parameters and parasite antigenic variation to age-stratified prevalence, incidence and severe disease incidence data obtained from multiple regions with broadly varying transmission conditions in Africa. An ensemble of calibrated model parameter sets is then employed to evaluate the potential impact of routine immunization with a pre-erythrocytic vaccine.
The reduction in severe malaria burden exhibits a broad peak at moderate transmission conditions. Under sufficiently intense transmission, a vaccine that reduces but does not eliminate the probability of acquisition from a single challenge bite may delay infections but produces minimal or no net reduction. Conversely, under sufficiently weak transmission conditions, a vaccine can provide a high fractional reduction but avert a relatively low absolute number of cases due to low baseline burden.
Roll-out of routine immunization with pre-erythrocytic malaria vaccines can provide substantial burden reduction across a range of transmission conditions typical to many regions in Africa.
一种红细胞前期疫苗可为减轻疟疾负担及最终根除疟疾提供有用工具。疟疾数学模型提供了一种机制,可用于评估在一系列可能部署此类疫苗的传播条件下有效减轻负担的情况。
EMOD模型是一种基于个体的疟疾传播动力学模型,包括媒介生命周期和物种特异性行为,并与疟疾寄生虫和宿主免疫系统动力学的机制性宿主内模型相结合。本研究描述了EMOD模型的扩展,包括严重疟疾的诊断以及对免疫系统参数和寄生虫抗原变异进行迭代校准,以适应从非洲多个传播条件差异很大的地区获得的年龄分层患病率、发病率和严重疾病发病率数据。然后使用一组校准后的模型参数集来评估红细胞前期疫苗常规免疫的潜在影响。
在中等传播条件下,严重疟疾负担的降低呈现出一个较宽的峰值。在传播强度足够高的情况下,一种能降低但不能消除单次感染叮咬感染概率的疫苗可能会延迟感染,但产生的净减少量最小或没有净减少。相反,在传播条件足够弱的情况下,疫苗可以实现较高比例的减少,但由于基线负担较低,避免的病例绝对数量相对较少。
在非洲许多地区典型的一系列传播条件下,推广红细胞前期疟疾疫苗的常规免疫可大幅减轻负担。