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Estimating the Location and Spatial Extent of a Covert Anthrax Release

Rapidly identifying the features of a covert release of an agent such as anthrax could help to inform the planning of public health mitigation strategies. Previous studies have sought to estimate the time and size of a bioterror attack based on the symptomatic onset dates of early cases. We extend t...

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Autores principales: Legrand, Judith, Egan, Joseph R., Hall, Ian M., Cauchemez, Simon, Leach, Steve, Ferguson, Neil M.
Formato: Texto
Lenguaje:English
Publicado: Public Library of Science 2009
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2663800/
https://www.ncbi.nlm.nih.gov/pubmed/19360099
http://dx.doi.org/10.1371/journal.pcbi.1000356
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author Legrand, Judith
Egan, Joseph R.
Hall, Ian M.
Cauchemez, Simon
Leach, Steve
Ferguson, Neil M.
author_facet Legrand, Judith
Egan, Joseph R.
Hall, Ian M.
Cauchemez, Simon
Leach, Steve
Ferguson, Neil M.
author_sort Legrand, Judith
collection PubMed
description Rapidly identifying the features of a covert release of an agent such as anthrax could help to inform the planning of public health mitigation strategies. Previous studies have sought to estimate the time and size of a bioterror attack based on the symptomatic onset dates of early cases. We extend the scope of these methods by proposing a method for characterizing the time, strength, and also the location of an aerosolized pathogen release. A back-calculation method is developed allowing the characterization of the release based on the data on the first few observed cases of the subsequent outbreak, meteorological data, population densities, and data on population travel patterns. We evaluate this method on small simulated anthrax outbreaks (about 25–35 cases) and show that it could date and localize a release after a few cases have been observed, although misspecifications of the spore dispersion model, or the within-host dynamics model, on which the method relies can bias the estimates. Our method could also provide an estimate of the outbreak's geographical extent and, as a consequence, could help to identify populations at risk and, therefore, requiring prophylactic treatment. Our analysis demonstrates that while estimates based on the first ten or 15 observed cases were more accurate and less sensitive to model misspecifications than those based on five cases, overall mortality is minimized by targeting prophylactic treatment early on the basis of estimates made using data on the first five cases. The method we propose could provide early estimates of the time, strength, and location of an aerosolized anthrax release and the geographical extent of the subsequent outbreak. In addition, estimates of release features could be used to parameterize more detailed models allowing the simulation of control strategies and intervention logistics.
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spelling pubmed-26638002009-04-10 Estimating the Location and Spatial Extent of a Covert Anthrax Release Legrand, Judith Egan, Joseph R. Hall, Ian M. Cauchemez, Simon Leach, Steve Ferguson, Neil M. PLoS Comput Biol Research Article Rapidly identifying the features of a covert release of an agent such as anthrax could help to inform the planning of public health mitigation strategies. Previous studies have sought to estimate the time and size of a bioterror attack based on the symptomatic onset dates of early cases. We extend the scope of these methods by proposing a method for characterizing the time, strength, and also the location of an aerosolized pathogen release. A back-calculation method is developed allowing the characterization of the release based on the data on the first few observed cases of the subsequent outbreak, meteorological data, population densities, and data on population travel patterns. We evaluate this method on small simulated anthrax outbreaks (about 25–35 cases) and show that it could date and localize a release after a few cases have been observed, although misspecifications of the spore dispersion model, or the within-host dynamics model, on which the method relies can bias the estimates. Our method could also provide an estimate of the outbreak's geographical extent and, as a consequence, could help to identify populations at risk and, therefore, requiring prophylactic treatment. Our analysis demonstrates that while estimates based on the first ten or 15 observed cases were more accurate and less sensitive to model misspecifications than those based on five cases, overall mortality is minimized by targeting prophylactic treatment early on the basis of estimates made using data on the first five cases. The method we propose could provide early estimates of the time, strength, and location of an aerosolized anthrax release and the geographical extent of the subsequent outbreak. In addition, estimates of release features could be used to parameterize more detailed models allowing the simulation of control strategies and intervention logistics. Public Library of Science 2009-04-10 /pmc/articles/PMC2663800/ /pubmed/19360099 http://dx.doi.org/10.1371/journal.pcbi.1000356 Text en Legrand et al. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Legrand, Judith
Egan, Joseph R.
Hall, Ian M.
Cauchemez, Simon
Leach, Steve
Ferguson, Neil M.
Estimating the Location and Spatial Extent of a Covert Anthrax Release
title Estimating the Location and Spatial Extent of a Covert Anthrax Release
title_full Estimating the Location and Spatial Extent of a Covert Anthrax Release
title_fullStr Estimating the Location and Spatial Extent of a Covert Anthrax Release
title_full_unstemmed Estimating the Location and Spatial Extent of a Covert Anthrax Release
title_short Estimating the Location and Spatial Extent of a Covert Anthrax Release
title_sort estimating the location and spatial extent of a covert anthrax release
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2663800/
https://www.ncbi.nlm.nih.gov/pubmed/19360099
http://dx.doi.org/10.1371/journal.pcbi.1000356
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