Using an adjusted serfling regression model to improve the early warning at the arrival of peak timing of influenza in beijing

PLoS ONE

Volumn 10, Issue 3, 2015, Pages

  Wang, Xiaoli ^a   Wu, Shuangsheng ^a   MacIntyre, C Raina ^b   Zhang, Hongbin ^c   Shi, Weixian ^a   Peng, Xiaomin ^a   Duan, Wei ^a   Yang, Peng ^a   Zhang, Yi ^a   Wang, Quanyi ^a  

^a CHINESE CENTER FOR DISEASE CONTROL AND PREVENTION   (China)

^b UNIVERSITY OF NEW SOUTH WALES   (Australia)

^c UNIVERSITY OF ELECTRONIC SCIENCE AND TECHNOLOGY OF CHINA   (China)

Author keywords

[No Author keywords available]

Indexed keywords

ACCURACY; ARTICLE; CALCULATION; CHINA; CONTROLLED STUDY; INFLUENZA VIRUS; MATHEMATICAL ANALYSIS; NONHUMAN; PREDICTION; REGRESSION ANALYSIS; SEASONAL INFLUENZA; SEASONAL VARIATION; SENSITIVITY AND SPECIFICITY; SIMULATION; VIRUS ISOLATION; COMPUTER SIMULATION; EPIDEMIC; HUMAN; INFLUENZA, HUMAN; STATISTICAL MODEL;

BEIJING; COMPUTER SIMULATION; EPIDEMICS; HUMANS; INFLUENZA, HUMAN; MODELS, STATISTICAL; REGRESSION ANALYSIS;

EID: 84924368720     PISSN: None     EISSN: 19326203     Source Type: Journal    
DOI: 10.1371/journal.pone.0119923     Document Type: Article

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