Pesco P, Bergero P, Fabricius G, Hozbor D
Instituto de Investigaciones Fisicoquímicas Teóricas y Aplicadas, Facultad de Ciencias Exactas, Universidad Nacional de La Plata, CC 16, Suc. 4, 1900 La Plata, Argentina.
Instituto de Investigaciones Fisicoquímicas Teóricas y Aplicadas, Facultad de Ciencias Exactas, Universidad Nacional de La Plata, CC 16, Suc. 4, 1900 La Plata, Argentina.
Epidemics. 2014 Jun;7:13-21. doi: 10.1016/j.epidem.2014.04.001. Epub 2014 Apr 13.
The incidence of the highly infectious respiratory disease named pertussis or whooping cough has been increasing for the past two decades in different countries, as in much of the highly vaccinated world. A decrease in vaccine effectiveness over time, especially when acellular vaccines were used for primary doses and boosters, and pathogen adaptation to the immunity conferred by vaccines have been proposed as possible causes of the resurgence. The contributions of these factors are not expected to be the same in different communities, and this could lead to different epidemiological trends. In fact, differences in the magnitude and dynamics of pertussis outbreaks as well as in the distribution of notified cases by age have been reported in various regions. Using an age-structured mathematical model designed by us, we evaluated how the changes in some of the parameters that could be related to the above proposed causes of disease resurgence - vaccine effectiveness and effective transmission rates - may impact on pertussis transmission. When a linear decrease in vaccine effectiveness (VE) was assayed, a sustained increase in pertussis incidence was detected mainly in infants and children. On the other hand, when changes in effective transmission rates (βij) were made, a dynamic effect evidenced by the presence of large peaks followed by deep valleys was detected. In this case, greater incidence in adolescents than in children was observed. These different trends in the disease dynamics due to modifications in VE or βij were verified in 18 possible scenarios that represent different epidemiological situations. Interestingly we found that both incidence trends produced by the model and their age distribution resemble the profiles obtained from data reported in several regions. The implications of these correlations are discussed.
在过去二十年中,在不同国家,包括许多疫苗接种率很高的地区,名为百日咳的高传染性呼吸道疾病的发病率一直在上升。随着时间的推移疫苗效力下降,特别是在将无细胞疫苗用于初种剂量和加强免疫时,以及病原体对疫苗所赋予免疫力的适应,被认为是疾病复发的可能原因。预计这些因素在不同社区的作用不尽相同,这可能导致不同的流行病学趋势。事实上,不同地区已报告了百日咳疫情在规模和动态方面的差异,以及按年龄分布的报告病例情况。我们使用自行设计的年龄结构数学模型,评估了一些可能与上述疾病复发原因相关的参数变化——疫苗效力和有效传播率——如何影响百日咳的传播。当检测到疫苗效力(VE)呈线性下降时,主要在婴儿和儿童中检测到百日咳发病率持续上升。另一方面,当有效传播率(βij)发生变化时,检测到出现大峰值后紧接着深谷的动态效应。在这种情况下,观察到青少年的发病率高于儿童。由于VE或βij的改变而导致的疾病动态中的这些不同趋势,在代表不同流行病学情况的18种可能情景中得到了验证。有趣的是,我们发现模型产生的发病率趋势及其年龄分布都类似于从几个地区报告的数据中获得的情况。讨论了这些相关性的意义。