Assessing the severity of the novel influenza A/H1N1 pandemic
Identifieur interne : 002C51 ( Main/Exploration ); précédent : 002C50; suivant : 002C52Assessing the severity of the novel influenza A/H1N1 pandemic
Auteurs : Tini Garske [Royaume-Uni] ; Judith Legrand ; Christl A. Donnelly ; Helen Ward ; Simon Cauchemez ; Christophe Fraser ; Neil M. Ferguson ; Azra C. GhaniSource :
- BMJ [ 0959-8138 ] ; 2009.
English descriptors
- Teeft :
- Acute influenza, Ascertainment, Case ascertainment, Case fatality ratio, Case fatality ratios, Confidence intervals, Crude estimate, Cumulative number, Delay distributions, Disease control, Early phase, Early stages, Fatality, Healthcare planning, Hospital admissions, Hospitalisation, Hospitalisation ratio, Hospitalisation ratios, Hospitalised cases, Infectious disease epidemiology, Influenza, Influenza cases, Influenza pandemic, Influenza virus, Initial sample, July, Mild disease, Narrow confidence intervals, Novel influenza, Novel strain, Other countries, Pandemic, Reprint, Research methods, Respiratory syndrome, Sample size, Sample sizes, Seasonal influenza, Seasonal influenzas, Severe cases, Statistical methods, Symptom onset, Total number, True case fatality ratio, True distribution, Young adults.
Abstract
A major concern about the emergence of the novel strain of influenza A/H1N1 is the severity of illness it causes. Tini Garske and colleagues propose methods to obtain accurate estimates of the case fatality ratio as the pandemic unfolds
Url:
DOI: 10.1136/bmj.b2840
Affiliations:
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Le document en format XML
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<term>Confidence intervals</term>
<term>Crude estimate</term>
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<term>Delay distributions</term>
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<term>Early stages</term>
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<term>Mild disease</term>
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<front><div type="abstract">A major concern about the emergence of the novel strain of influenza A/H1N1 is the severity of illness it causes. Tini Garske and colleagues propose methods to obtain accurate estimates of the case fatality ratio as the pandemic unfolds</div>
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