SARS incubation and quarantine times: when is an exposed individual known to be disease free?
Identifieur interne : 004A98 ( Main/Exploration ); précédent : 004A97; suivant : 004A99SARS incubation and quarantine times: when is an exposed individual known to be disease free?
Auteurs : V. T. Farewell [Royaume-Uni] ; A. M. Herzberg [Canada] ; K. W. James [Canada] ; L. M. Ho [République populaire de Chine] ; G. M. Leung [République populaire de Chine]Source :
- Statistics in Medicine [ 0277-6715 ] ; 2005-11-30.
English descriptors
- Teeft :
- Arbitrary period, Asymptotic distribution, Available knowledge, Average data, Biostatistics unit, Censoring interval, Control epidemics, Copyright, Early release, Engineering research council, Erent, Erent behaviour, Estimation, Food bureau, Gamma, Gamma distribution, Gamma model, Hong kong, Implicit assumption, Incubation, Incubation distribution, Incubation period, Incubation time, Incubation time figure, Incubation times, Infectious diseases, Infectious individuals, John wiley sons, Larger values, Likelihood, Likelihood function, Location scale model, Maximum incubation time, Maximum likelihood, Maximum likelihood estimate, Maximum likelihood estimates, Maximum likelihood estimation, Maximum time, Medical research council, Methodology, Model choice, National science, Percentile, Percentile estimation, Plausible values, Possible exposure, Precise information, Probability density function, Public health decisions, Public health purposes, Quarantined population, Research fund, Sample quantiles, Sars, Sars cases, Sars incubation times, Sars incubation times density, Special cases, Statist, Statistical methodology, Such data, Tramcar problem, Truncation, Truncation time, Untruncated distributions, Upper limit.
Abstract
The setting of a quarantine time for an emerging infectious disease will depend on current knowledge concerning incubation times. Methods for the analysis of information on incubation times are investigated with a particular focus on inference regarding a possible maximum incubation time, after which an exposed individual would be known to be disease free. Data from the Hong Kong SARS epidemic are used for illustration. The incorporation of interval‐censored data is considered and comparison is made with percentile estimation. Results suggest that a wide class of models for incubation times should be considered because the apparent informativeness of a likelihood depends on the choice and generalizability of a model. There will usually remain a probability of releasing from quarantine some infected individuals and the impact of early release will depend on the size of the epidemic. Copyright © 2005 John Wiley & Sons, Ltd.
Url:
- https://api.istex.fr/ark:/67375/WNG-M32LX2WT-2/fulltext.pdf
- http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7169610
DOI: 10.1002/sim.2206
Affiliations:
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Le document en format XML
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<front><div type="abstract" xml:lang="en">The setting of a quarantine time for an emerging infectious disease will depend on current knowledge concerning incubation times. Methods for the analysis of information on incubation times are investigated with a particular focus on inference regarding a possible maximum incubation time, after which an exposed individual would be known to be disease free. Data from the Hong Kong SARS epidemic are used for illustration. The incorporation of interval‐censored data is considered and comparison is made with percentile estimation. Results suggest that a wide class of models for incubation times should be considered because the apparent informativeness of a likelihood depends on the choice and generalizability of a model. There will usually remain a probability of releasing from quarantine some infected individuals and the impact of early release will depend on the size of the epidemic. Copyright © 2005 John Wiley & Sons, Ltd.</div>
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