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

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

PLOS Medicine（2011）

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摘要

Serial cross-sectional serologic data together with clinical surveillance data can allow reliable real-time estimates of IAR and severity in an emerging pandemic. Sero-surveillance for pandemics should be considered.

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关键词

influenza pandemic,infection attack rates,cross-sectional

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