Estimating infection attack rates and severity in real time during an influenza pandemic: analysis of serial cross-sectional serologic surveillance data.

Estimating infection attack rates and severity in real time during an influenza pandemic: analysis of serial cross-sectional serologic surveillance data.

<h4>Background</h4>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 estimat...

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Main Authors: Joseph T Wu, Andrew Ho, Edward S K Ma, Cheuk Kwong Lee, Daniel K W Chu, Po-Lai Ho, Ivan F N Hung, Lai Ming Ho, Che Kit Lin, Thomas Tsang, Su-Vui Lo, Yu-Lung Lau, Gabriel M Leung, Benjamin J Cowling, J S Malik Peiris
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2011-10-01
Series:PLoS Medicine
Online Access:https://journals.plos.org/plosmedicine/article/file?id=10.1371/journal.pmed.1001103&type=printable
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https://journals.plos.org/plosmedicine/article/file?id=10.1371/journal.pmed.1001103&type=printable

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