Richard A, Richardson S, Maccario J
INSERM U.155, Paris, France.
Math Biosci. 1993 Sep-Oct;117(1-2):283-300. doi: 10.1016/0025-5564(93)90029-a.
A three-state Markov model taking into account clinical signs of malaria infections by P. falciparum is described. The three states considered are the noninfected (state 0), the infected exhibiting no clinical signs (state 1), and the infected with clinical signs (state 2). Methods for estimating the transition rates from longitudinal data are indicated. This model was used to assess the effect on children of an intervention trial on the use of mosquito nets impregnated with insecticide. The trial was conducted in West Africa (Burkina Faso) between 1985 and 1987. The analysis showed that the intervention was most effective on transition rates between state 1 and state 2.
描述了一种考虑恶性疟原虫疟疾感染临床症状的三状态马尔可夫模型。所考虑的三种状态分别是未感染(状态0)、感染但无临床症状(状态1)和感染且有临床症状(状态2)。指出了从纵向数据估计转移率的方法。该模型用于评估一项关于使用杀虫剂浸渍蚊帐的干预试验对儿童的影响。该试验于1985年至1987年在西非(布基纳法索)进行。分析表明,该干预对状态1和状态2之间的转移率最有效。