Estimating Infection Attack Rates and Severity in Real Time during an Influenza Pandemic: Analysis of Serial Cross-Sectional Serologic Surveillance Data

BACKGROUND: In an emerging influenza pandemic, estimating severity (the probability of a severe outcome, such as hospitalization, if infected) is a public health priority. As many influenza infections are subclinical, sero-surveillance is needed to allow reliable real-time estimates of infection att...

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Detalles Bibliográficos
Autores principales: Wu, Joseph T., Ho, Andrew, Ma, Edward S. K., Lee, Cheuk Kwong, Chu, Daniel K. W., Ho, Po-Lai, Hung, Ivan F. N., Ho, Lai Ming, Lin, Che Kit, Tsang, Thomas, Lo, Su-Vui, Lau, Yu-Lung, Leung, Gabriel M., Cowling, Benjamin J., Peiris, J. S. Malik
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2011
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3186812/
https://www.ncbi.nlm.nih.gov/pubmed/21990967
http://dx.doi.org/10.1371/journal.pmed.1001103

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3186812/
https://www.ncbi.nlm.nih.gov/pubmed/21990967
http://dx.doi.org/10.1371/journal.pmed.1001103

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