Smith Thomas, Maire Nicolas, Dietz Klaus, Killeen Gerry F, Vounatsou Penelope, Molineaux Louis, Tanner Marcel
Swiss Tropical Institute, Basel, Switzerland.
Am J Trop Med Hyg. 2006 Aug;75(2 Suppl):11-8. doi: 10.4269/ajtmh.2006.75.2_suppl.0750011.
We propose a stochastic model for the relationship between the entomologic inoculation rate (EIR) for Plasmodium falciparum malaria and the force of infection in endemic areas. The model incorporates effects of increased exposure to mosquito bites as a result of the growth in body surface area with the age of the host, naturally acquired pre-erythrocytic immunity, and the reduction in the proportion of entomologically assessed inoculations leading to infection, as the EIR increases. It is fitted to multiple datasets from field studies of the relationship between malaria infection and the EIR. We propose that this model can account for non-monotonic relationships between the age of the host and the parasite prevalence and incidence of disease. It provides a parsimonious explanation for the faster acquisition of natural immunity in adults than in children exposed to high EIRs. This forms one component of a new stochastic model for the entire transmission cycle of P. falciparum that we have derived to estimate the potential epidemiologic impact of malaria vaccines and other malaria control interventions.
我们提出了一个关于恶性疟原虫疟疾的昆虫接种率(EIR)与流行地区感染强度之间关系的随机模型。该模型纳入了以下因素的影响:随着宿主年龄增长,体表面积增加导致接触蚊虫叮咬的机会增多;自然获得的红细胞前期免疫;以及随着EIR增加,经昆虫学评估的接种导致感染的比例降低。该模型拟合了多个关于疟疾感染与EIR之间关系的现场研究数据集。我们认为,这个模型可以解释宿主年龄与寄生虫流行率和疾病发病率之间的非单调关系。它为成年人比暴露于高EIR的儿童更快获得自然免疫提供了一个简洁的解释。这构成了我们推导的用于估计疟疾疫苗和其他疟疾控制干预措施潜在流行病学影响的恶性疟原虫整个传播周期新随机模型的一个组成部分。