School of Biological Sciences, The University of Liverpool, Biosciences Building, Crown Street, Liverpool L69 7ZB, UK.
Epidemics. 2009 Mar;1(1):35-46. doi: 10.1016/j.epidem.2008.10.001. Epub 2008 Nov 6.
Detailed results on the dynamics of cowpox virus infection in four natural populations of the field vole, Microtus agrestis, are presented. Populations were sampled every 4 weeks (8 weeks in mid-winter) for 6 years. The purpose was to examine the relationships between overall or susceptible host abundance (N, S) and both the number of infected hosts (I) and the prevalence of infection (I/N). Overall, both I and I/N increased with N. However, evidence for a threshold abundance, below which infection was not found, was at best equivocal in spite of the wide range of abundances sampled. Cross-correlation analyses reflected annual and multi-annual cycles in N, I, S and I/N, but whereas N was most strongly correlated with contemporary values of I and I/N, in the case of S, the strongest correlations were with values 1 to 2 months preceding the values of I and I/N. There was no evidence for a 'juvenile dilution effect' (prevalence decreasing with abundance as new susceptibles flush into the population) and only weak evidence of a time-delayed effect of abundance on the number infected. We argue that these effects may occur only in systems with characteristics that are not found here. Transfer function analyses, which have been neglected in epidemiology, were applied. These models, with ln(S) as the input parameter, in spite of their simplicity, could be linked closely to conventional formulations of the transmission process and were highly effective in predicting the number infected. By contrast, transfer function models with ln(N) as the input parameter were less successful in predicting the number infected and/or were more complex and more difficult to interpret. Nonetheless, overall, we contend that while monitoring numbers susceptible has most to offer, monitoring overall abundance may provide valuable insights into the dynamics of infection.
详细介绍了在野外田鼠四个自然种群中牛痘病毒感染动力学的研究结果。这些种群每 4 周(冬季每 8 周)采样一次,持续了 6 年。目的是检验宿主总数量(N,S)或易感宿主数量(N,S)与感染宿主数量(I)和感染率(I/N)之间的关系。总体而言,I 和 I/N 都随着 N 的增加而增加。然而,尽管采样的丰度范围很广,但感染不存在阈值丰度的证据充其量也是模棱两可的。交叉相关分析反映了 N、I、S 和 I/N 的年度和多年周期,但 N 与当前的 I 和 I/N 值最密切相关,而对于 S,最强的相关性则与 I 和 I/N 值之前 1 至 2 个月的值相关。没有证据表明存在“幼年稀释效应”(随着新的易感动物涌入种群,患病率随着丰度的增加而降低),也没有证据表明丰度对感染数量有时间延迟效应。我们认为,这些效应可能仅在不存在这里特征的系统中发生。我们应用了在流行病学中被忽视的传递函数分析。尽管这些模型很简单,但它们以 ln(S)作为输入参数,可以与传统的传播过程模型紧密联系起来,并且在预测感染数量方面非常有效。相比之下,以 ln(N)作为输入参数的传递函数模型在预测感染数量方面效果较差,或者更复杂,更难以解释。尽管如此,总体而言,我们认为,虽然监测易感动物数量的变化最有意义,但监测总数量可能会对感染动态提供有价值的见解。