Estimated epidemiologic parameters and morbidity associated with pandemic H1N1 influenza

In the face of an influenza pandemic, accurate estimates of epidemiologic parameters are required to help guide decision-making. We sought to estimate epidemiologic parameters for pandemic H1N1 influenza using data from initial reports of laboratory-confirmed cases. We obtained data on laboratory-co...

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Bibliographic Details
Published in:	Canadian Medical Association journal (CMAJ) Vol. 182; no. 2; pp. 131 - 136
Main Authors:	Tuite, Ashleigh R., Greer, Amy L., Whelan, Michael, Winter, Anne-Luise, Lee, Brenda, Yan, Ping, Wu, Jianhong, Moghadas, Seyed, Buckeridge, David, Pourbohloul, Babak, Fisman, David N.
Format:	Journal Article
Language:	English
Published:	Canada Elsevier Inc 09.02.2010 CMA Impact Inc CMA Joule Inc CMA Impact, Inc Canadian Medical Association
Subjects:	Adolescent Adult Age Distribution Age Factors Aged Aged, 80 and over Child Child, Preschool Decision-making Disease Outbreaks Disease transmission Epidemiology Humans Infant Infant, Newborn Infectious Disease Incubation Period Influenza A Virus, H1N1 Subtype Influenza, Human - epidemiology Influenza, Human - transmission Internal Medicine Markov Chains Markov processes Methods Middle Aged Monte Carlo Method Morbidity Ontario - epidemiology Pandemics Parameter estimation Patient Admission - statistics & numerical data Proportional Hazards Models Risk Risk factors Studies Swine flu Swine influenza Young Adult Ontario Canada Ontario Canada
ISSN:	0820-3946, 1488-2329, 1488-2329
Online Access:	Get full text
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