Warwick Mathematics Institute, University of Warwick, Gibbet Hill Road, Coventry CV4 7AL, UK.
Proc Biol Sci. 2011 Sep 22;278(1719):2753-60. doi: 10.1098/rspb.2010.2688. Epub 2011 Feb 2.
Despite the fact that the 2009 H1N1 pandemic influenza strain was less severe than had been feared, both seasonal epidemics of influenza-like-illness and future influenza pandemics have the potential to place a serious burden on health services. The closure of schools has been postulated as a means of reducing transmission between children and hence reducing the number of cases at the peak of an epidemic; this is supported by the marked reduction in cases during school holidays observed across the world during the 2009 pandemic. However, a national policy of long-duration school closures could have severe economic costs. Reactive short-duration closure of schools in regions where health services are close to capacity offers a potential compromise, but it is unclear over what spatial scale and time frame closures would need to be made to be effective. Here, using detailed geographical information for England, we assess how localized school closures could alleviate the burden on hospital intensive care units (ICUs) that are reaching capacity. We show that, for a range of epidemiologically plausible assumptions, considerable local coordination of school closures is needed to achieve a substantial reduction in the number of hospitals where capacity is exceeded at the peak of the epidemic. The heterogeneity in demand per hospital ICU bed means that even widespread school closures are unlikely to have an impact on whether demand will exceed capacity for many hospitals. These results support the UK decision not to use localized school closures as a control mechanism, but have far wider international public-health implications. The spatial heterogeneities in both population density and hospital capacity that give rise to our results exist in many developed countries, while our model assumptions are sufficiently general to cover a wide range of pathogens. This leads us to believe that when a pandemic has severe implications for ICU capacity, only widespread school closures (with their associated costs and organizational challenges) are sufficient to mitigate the burden on the worst-affected hospitals.
尽管 2009 年 H1N1 大流行流感株的严重程度低于预期,但季节性流感流行和未来的流感大流行都有可能给卫生服务系统带来严重负担。关闭学校被认为是减少儿童之间传播的一种手段,从而减少流行高峰期的病例数;这一观点得到了在 2009 年大流行期间,世界各地在学校假期期间观察到的病例明显减少的支持。然而,长期关闭学校的国家政策可能会带来严重的经济成本。在卫生服务接近饱和的地区采取短期、有针对性的关闭学校的做法提供了一种潜在的妥协方案,但尚不清楚在什么空间尺度和时间框架内关闭学校才能有效。在这里,我们利用英格兰的详细地理信息,评估局部性的学校关闭如何缓解接近饱和的医院重症监护病房(ICU)的负担。我们表明,在一系列合理的流行病学假设下,需要对学校进行大量的局部协调关闭,才能在流行高峰期显著减少超过容量的医院数量。每个医院 ICU 床位的需求异质性意味着,即使广泛关闭学校,也不太可能对许多医院的需求是否会超过容量产生影响。这些结果支持英国不将局部性学校关闭作为控制机制的决定,但对更广泛的国际公共卫生具有深远影响。导致我们结果的人口密度和医院容量的空间异质性在许多发达国家都存在,而我们的模型假设足够普遍,可以涵盖广泛的病原体。这使我们相信,当大流行对 ICU 容量产生严重影响时,只有广泛的学校关闭(及其相关的成本和组织挑战)才能减轻受影响最严重的医院的负担。