Huang Yunxin, Rohani Pejman
Institute of Ecology and Center for Tropical and Emerging Global Diseases, University of Georgia, Athens, GA 30602, USA.
Proc Biol Sci. 2006 May 22;273(1591):1229-37. doi: 10.1098/rspb.2005.3454.
Recent studies have demonstrated that ecological interference among some childhood diseases may have important dynamic consequences. An interesting question is, when would we expect the interference effect to be pronounced? To address the issue, here we develop a seasonally forced two-disease age-structured model, using empirically derived age-specific force of infection (ASFOI) for numerous infections of childhood. Our comparative numerical analysis shows that when the ASFOIs for the two diseases largely overlap, the dynamics predicted by the two-disease model are generally different from those predicted by the analogous single-disease model, suggesting strong fingerprints of disease interference. When the ASFOIs overlap less, on the other hand, both diseases behave as predicted by the single-disease model, suggesting weak interference. We conclude that age structure is an important factor that should be taken into account in order to explore the underlying mechanisms of disease interference.
最近的研究表明,一些儿童疾病之间的生态干扰可能会产生重要的动态后果。一个有趣的问题是,我们何时会预期干扰效应会很明显?为了解决这个问题,我们在此开发了一个季节性强迫的双疾病年龄结构模型,使用从经验中得出的针对多种儿童感染的年龄特异性感染率(ASFOI)。我们的比较数值分析表明,当两种疾病的ASFOI在很大程度上重叠时,双疾病模型预测的动态通常与类似的单疾病模型预测的不同,这表明存在强烈的疾病干扰特征。另一方面,当ASFOI重叠较少时,两种疾病的表现都与单疾病模型预测的一致,这表明干扰较弱。我们得出结论,年龄结构是一个重要因素,在探索疾病干扰的潜在机制时应予以考虑。