Literature DB >> 25977955

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 M Hall.   

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

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Year:  2015        PMID: 25977955      PMCID: PMC4424687          DOI: 10.1098/rsif.2015.0096

Source DB:  PubMed          Journal:  J R Soc Interface        ISSN: 1742-5662            Impact factor:   4.118


  83 in total

1.  Prevention of inhalational anthrax in the U.S. outbreak.

Authors:  Ron Brookmeyer; Natalie Blades
Journal:  Science       Date:  2002-03-08       Impact factor: 47.728

Review 2.  Natural history and pathophysiology of Q fever.

Authors:  D Raoult; Tj Marrie; Jl Mege
Journal:  Lancet Infect Dis       Date:  2005-04       Impact factor: 25.071

Review 3.  Infectiousness of smallpox relative to disease age: estimates based on transmission network and incubation period.

Authors:  H Nishiura; M Eichner
Journal:  Epidemiol Infect       Date:  2006-12-07       Impact factor: 2.451

4.  Modeling inhalational tularemia: deliberate release and public health response.

Authors:  Joseph R Egan; Ian M Hall; Steve Leach
Journal:  Biosecur Bioterror       Date:  2011-11-01

5.  [Community outbreak of pneumonia due to Legionella pneumophila: importance of monitoring hospital cooling towers].

Authors:  Patricia García de Olalla; José Gracia; Cristina Rius; Joan A Caylà; Helena Pañella; Joan R Villabí; Joan Guix; Teresa Pellicer; Dolors Ferrer; Meritxell Cusi; Carmen Pelaz; Miquel Sabrià
Journal:  Enferm Infecc Microbiol Clin       Date:  2008-01       Impact factor: 1.731

6.  Adverse events associated with prolonged antibiotic use.

Authors:  Sharon B Meropol; K Arnold Chan; Zhen Chen; Jonathan A Finkelstein; Sean Hennessy; Ebbing Lautenbach; Richard Platt; Stephanie D Schech; Deborah Shatin; Joshua P Metlay
Journal:  Pharmacoepidemiol Drug Saf       Date:  2008-05       Impact factor: 2.890

7.  A method of non-parametric back-projection and its application to AIDS data.

Authors:  N G Becker; L F Watson; J B Carlin
Journal:  Stat Med       Date:  1991-10       Impact factor: 2.373

8.  Modeling the incubation period of inhalational anthrax.

Authors:  Dean A Wilkening
Journal:  Med Decis Making       Date:  2008-06-12       Impact factor: 2.583

9.  Estimating the transmission potential of supercritical processes based on the final size distribution of minor outbreaks.

Authors:  Hiroshi Nishiura; Ping Yan; Candace K Sleeman; Charles J Mode
Journal:  J Theor Biol       Date:  2011-11-07       Impact factor: 2.691

10.  A super-spreading ewe infects hundreds with Q fever at a farmers' market in Germany.

Authors:  Klaudia Porten; Jürgen Rissland; Almira Tigges; Susanne Broll; Wilfried Hopp; Mechthild Lunemann; Ulrich van Treeck; Peter Kimmig; Stefan O Brockmann; Christiane Wagner-Wiening; Wiebke Hellenbrand; Udo Buchholz
Journal:  BMC Infect Dis       Date:  2006-10-06       Impact factor: 3.090

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  6 in total

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Authors:  Gabriel Rainisch; Martin I Meltzer; Sean Shadomy; William A Bower; Nathaniel Hupert
Journal:  Emerg Infect Dis       Date:  2017-01       Impact factor: 6.883

2.  Probabilistic Analysis of a French Legionellosis Outbreak Shows Potential Role of Wastewater Basin.

Authors:  France Wallet; Leila Fontenay; Pierre-André Cabanes
Journal:  Microorganisms       Date:  2022-02-11

3.  Detecting Presymptomatic Infection Is Necessary to Forecast Major Epidemics in the Earliest Stages of Infectious Disease Outbreaks.

Authors:  Robin N Thompson; Christopher A Gilligan; Nik J Cunniffe
Journal:  PLoS Comput Biol       Date:  2016-04-05       Impact factor: 4.475

4.  Estimated prevalence of undiagnosed atrial fibrillation in the United States.

Authors:  Mintu P Turakhia; Jason Shafrin; Katalin Bognar; Jeffrey Trocio; Younos Abdulsattar; Daniel Wiederkehr; Dana P Goldman
Journal:  PLoS One       Date:  2018-04-12       Impact factor: 3.240

5.  National outbreak of Shiga toxin-producing Escherichia coli O157:H7 linked to mixed salad leaves, United Kingdom, 2016.

Authors:  Maya Gobin; Jeremy Hawker; Paul Cleary; Thomas Inns; Daniel Gardiner; Amy Mikhail; Jacquelyn McCormick; Richard Elson; Derren Ready; Tim Dallman; Iain Roddick; Ian Hall; Caroline Willis; Paul Crook; Gauri Godbole; Drazenka Tubin-Delic; Isabel Oliver
Journal:  Euro Surveill       Date:  2018-05

6.  Advancing risk assessment: mechanistic dose-response modelling of Listeria monocytogenes infection in human populations.

Authors:  Ashrafur Rahman; Daniel Munther; Aamir Fazil; Ben Smith; Jianhong Wu
Journal:  R Soc Open Sci       Date:  2018-08-01       Impact factor: 2.963

  6 in total

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