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

Joseph R. Egan*, Ian Hall

*Corresponding author for this work

    Research output: Contribution to journalReview articlepeer-review

    15 Citations (Scopus)

    Abstract

    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 reviewby providing improved estimates of the duration of antibiotic prophylaxis that would be required in the response to an inhalational anthrax outbreak.

    Original languageEnglish
    Article number20150096
    JournalJournal of the Royal Society Interface
    Volume12
    Issue number106
    DOIs
    Publication statusPublished - 6 May 2015

    Bibliographical note

    Publisher Copyright:
    © 2015 The Author(s) Published by the Royal Society. All rights reserved.

    Keywords

    • Dose-response relationship
    • Host-pathogen interactions
    • Infectious disease incubation period
    • Infectious disease outbreaks
    • Likelihood functions

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