Geard Nicholas, Glass Kathryn, McCaw James M, McBryde Emma S, Korb Kevin B, Keeling Matt J, McVernon Jodie
Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, 207 Bouverie Street, The University of Melbourne, VIC 3010, Australia; Clayton School of Information Technology, Building 63, Monash University Clayton Campus, Wellington Road, Clayton, VIC 3800, Australia.
National Centre for Epidemiology and Population Health, College of Medicine, Biology and Environment, Building 62, Cnr of Eggleston and Mills Roads, The Australian National University, Canberra, ACT 0200, Australia.
Epidemics. 2015 Dec;13:56-64. doi: 10.1016/j.epidem.2015.08.002. Epub 2015 Sep 2.
The demographic structure of populations in both more developed and less developed countries is changing: increases in life expectancy and declining fertility have led to older populations and smaller households. The implications of these demographic changes for the spread and control of infectious diseases are not fully understood. Here we use an individual based model with realistic and dynamic age and household structure to demonstrate the marked effect that demographic change has on disease transmission at the population and household level. The decline in fertility is associated with a decrease in disease incidence and an increase in the age of first infection, even in the absence of vaccination or other control measures. Although large households become rarer as fertility decreases, we show that there is a proportionate increase in incidence of disease in these households as the accumulation of susceptible clusters increases the potential for explosive outbreaks. By modelling vaccination, we provide a direct comparison of the relative importance of demographic change and vaccination on incidence of disease. We highlight the increased risks associated with unvaccinated households in a low fertility setting if vaccine behaviour is correlated with household membership. We suggest that models that do not account for future demographic change, and especially its effect on household structure, may potentially overestimate the impact of vaccination.
在较发达国家和欠发达国家,人口的人口结构都在发生变化:预期寿命的增加和生育率的下降导致了人口老龄化和家庭规模变小。这些人口变化对传染病传播和控制的影响尚未完全明了。在此,我们使用一个基于个体的模型,该模型具有现实且动态的年龄和家庭结构,以证明人口变化在人群和家庭层面上对疾病传播具有显著影响。即使在没有疫苗接种或其他控制措施的情况下,生育率的下降也与疾病发病率的降低以及首次感染年龄的增加相关。尽管随着生育率下降大家庭变得更为罕见,但我们表明,由于易感人群聚集的增加增加了爆发性疫情的可能性,这些家庭中的疾病发病率会相应上升。通过对疫苗接种进行建模,我们对人口变化和疫苗接种在疾病发病率方面的相对重要性进行了直接比较。我们强调,如果疫苗接种行为与家庭成员身份相关,那么在低生育率环境中未接种疫苗的家庭会面临更高的风险。我们认为,未考虑未来人口变化,尤其是其对家庭结构影响的模型,可能会高估疫苗接种的影响。