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A review of back-calculation techniques and their potential to inform mitigation strategies with application to non-transmissible acute infectious diseases

机译:反向计算技术及其在缓解策略中的潜力及其在非传染性急性传染病中的应用

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摘要

Back-calculation is a process whereby generally unobservable features of an event leading to a disease outbreak can be inferred either in real-time or shortly after the end of the outbreak. These features might include the time when persons were exposed and the source of the outbreak. Such inferences are important as they can help to guide the targeting of mitigation strategies and to evaluate the potential effectiveness of such strategies. This article reviews the process of back-calculation with a particular emphasis on more recent applications concerning deliberate and naturally occurring aerosolized releases. The techniques can be broadly split into two themes: the simpler temporal models and the more sophisticated spatio-temporal models. The former require input data in the form of cases' symptom onset times, whereas the latter require additional spatial information such as the cases' home and work locations. A key aspect in the back-calculation process is the incubation period distribution, which forms the initial topic for consideration. Links between atmospheric dispersion modelling, within-host dynamics and back-calculation are outlined in detail. An example of how back-calculation can inform mitigation strategies completes the review by providing improved estimates of the duration of antibiotic prophylaxis that would be required in the response to an inhalational anthrax outbreak.
机译:反向计算是一个过程,通过该过程可以实时或在爆发结束后不久推断出导致疾病爆发的事件中通常无法观察到的特征。这些功能可能包括人员暴露的时间和爆发源。这样的推论很重要,因为它们可以帮助指导缓解策略的目标并评估此类策略的潜在有效性。本文回顾了反向计算的过程,尤其着重于有关故意和自然发生的雾化释放的最新应用。这些技术可以大致分为两个主题:更简单的时间模型和更复杂的时空模型。前者需要输入病例症状发作时间形式的数据,而后者则需要其他空间信息,例如病例的住所和工作地点。反向计算过程中的一个关键方面是潜伏期分布,它构成了要考虑的初始主题。详细概述了大气弥散模型,宿主内部动力学和反演之间的联系。反向计算如何为缓解策略提供信息的一个示例通过提供对吸入性炭疽疫情的响应所需的抗生素预防持续时间的改进估算来完成审查。

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