Literature DB >> 19573509

The emerging influenza pandemic: estimating the case fatality ratio.

N Wilson1, M G Baker.   

Abstract

To determine appropriate influenza pandemic containment and mitigation measures, health authorities need to know the approximate case fatality ratio (CFR) for this new infection. We present four different methods for very provisionally estimating the plausible range of the CFR for symptomatic infection by this pandemic strain in developed countries. All of the methods produce substantially lower values (range 0.06% to 0.0004%) than a previously published estimate for Mexico (0.4%). As these results have many limitations, improved surveillance and serological surveys are needed in both developed and developing countries to produce more accurate estimates.

Mesh:

Year:  2009        PMID: 19573509

Source DB:  PubMed          Journal:  Euro Surveill        ISSN: 1025-496X


  30 in total

1.  The classical definition of a pandemic is not elusive.

Authors:  Heath Kelly
Journal:  Bull World Health Organ       Date:  2011-07-01       Impact factor: 9.408

2.  Improving the evidence base for decision making during a pandemic: the example of 2009 influenza A/H1N1.

Authors:  Marc Lipsitch; Lyn Finelli; Richard T Heffernan; Gabriel M Leung; Stephen C Redd
Journal:  Biosecur Bioterror       Date:  2011-06

3.  Using network theory to identify the causes of disease outbreaks of unknown origin.

Authors:  Tiffany L Bogich; Sebastian Funk; Trent R Malcolm; Nok Chhun; Jonathan H Epstein; Aleksei A Chmura; A Marm Kilpatrick; John S Brownstein; O Clyde Hutchison; Catherine Doyle-Capitman; Robert Deaville; Stephen S Morse; Andrew A Cunningham; Peter Daszak
Journal:  J R Soc Interface       Date:  2013-02-06       Impact factor: 4.118

Review 4.  Case fatality risk of influenza A (H1N1pdm09): a systematic review.

Authors:  Jessica Y Wong; Heath Kelly; Dennis K M Ip; Joseph T Wu; Gabriel M Leung; Benjamin J Cowling
Journal:  Epidemiology       Date:  2013-11       Impact factor: 4.822

5.  Estimated epidemiologic parameters and morbidity associated with pandemic H1N1 influenza.

Authors:  Ashleigh R Tuite; Amy L Greer; Michael Whelan; Anne-Luise Winter; Brenda Lee; Ping Yan; Jianhong Wu; Seyed Moghadas; David Buckeridge; Babak Pourbohloul; David N Fisman
Journal:  CMAJ       Date:  2009-12-03       Impact factor: 8.262

6.  Estimating the disease burden of pandemic (H1N1) 2009 virus infection in Hunter New England, Northern New South Wales, Australia, 2009.

Authors:  Fatimah S Dawood; Kirsty G Hope; David N Durrheim; Rodney Givney; Alicia M Fry; Craig B Dalton
Journal:  PLoS One       Date:  2010-03-25       Impact factor: 3.240

7.  Optimal pandemic influenza vaccine allocation strategies for the Canadian population.

Authors:  Ashleigh R Tuite; David N Fisman; Jeffrey C Kwong; Amy L Greer
Journal:  PLoS One       Date:  2010-05-06       Impact factor: 3.240

8.  Pandemic influenza (H1N1) 2009 is associated with severe disease in India.

Authors:  Akhilesh C Mishra; Mandeep S Chadha; Manohar L Choudhary; Varsha A Potdar
Journal:  PLoS One       Date:  2010-05-07       Impact factor: 3.240

9.  Seasonal transmission potential and activity peaks of the new influenza A(H1N1): a Monte Carlo likelihood analysis based on human mobility.

Authors:  Duygu Balcan; Hao Hu; Bruno Goncalves; Paolo Bajardi; Chiara Poletto; Jose J Ramasco; Daniela Paolotti; Nicola Perra; Michele Tizzoni; Wouter Van den Broeck; Vittoria Colizza; Alessandro Vespignani
Journal:  BMC Med       Date:  2009-09-10       Impact factor: 8.775

10.  Optimal pandemic influenza vaccine allocation strategies for the canadian population.

Authors:  Ashleigh Tuite; David N Fisman; Jeffrey C Kwong; Amy Greer
Journal:  PLoS Curr       Date:  2010-01-04
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.