Literature DB >> 17658935

Estimating the reproduction number from the initial phase of the Spanish flu pandemic waves in Geneva, Switzerland.

Gerardo Chowell1, Catherine E Ammon, Nicolas W Hengartner, James M Hyman.   

Abstract

At the outset of an influenza pandemic, early estimates of the number of secondary cases generated by a primary influenza case (reproduction number, R) and its associated uncertainty can help determine the intensity of interventions necessary for control. Using a compartmental model and hospital notification data of the first two waves of the Spanish flu pandemic in Geneva, Switzerland in 1918, we estimate the reproduction number from the early phase of the pandemic waves. For the spring and fall pandemic waves, we estimate reproduction numbers of 1:57 (95% CI: 1:45, 1:70) and 3:10 (2:81, 3:39), respectively, from the initial epidemic phase comprising the first 10 epidemic days of the corresponding wave. Estimates of the variance of our point estimates of R were computed via a parametric bootstrap. We compare these estimates with others obtained using different observation windows to provide insight into how early into an epidemic the reproduction number can be estimated.

Mesh:

Year:  2007        PMID: 17658935     DOI: 10.3934/mbe.2007.4.457

Source DB:  PubMed          Journal:  Math Biosci Eng        ISSN: 1547-1063            Impact factor:   2.080


  10 in total

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Authors:  Yang Yang; Jonathan D Sugimoto; M Elizabeth Halloran; Nicole E Basta; Dennis L Chao; Laura Matrajt; Gail Potter; Eben Kenah; Ira M Longini
Journal:  Science       Date:  2009-09-10       Impact factor: 47.728

2.  Estimating the transmission potential of supercritical processes based on the final size distribution of minor outbreaks.

Authors:  Hiroshi Nishiura; Ping Yan; Candace K Sleeman; Charles J Mode
Journal:  J Theor Biol       Date:  2011-11-07       Impact factor: 2.691

3.  Sensitivity Analysis of the Parameters of Korea's Pandemic Influenza Preparedness Plan.

Authors:  Chaeshin Chu; Junehawk Lee; Dong Hoon Choi; Seung-Ki Youn; Jong-Koo Lee
Journal:  Osong Public Health Res Perspect       Date:  2011-12

4.  An optimal cost effectiveness study on Zimbabwe cholera seasonal data from 2008-2011.

Authors:  Tridip Sardar; Soumalya Mukhopadhyay; Amiya Ranjan Bhowmick; Joydev Chattopadhyay
Journal:  PLoS One       Date:  2013-12-03       Impact factor: 3.240

5.  Comparison of methods to Estimate Basic Reproduction Number (R 0) of influenza, Using Canada 2009 and 2017-18 A (H1N1) Data.

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6.  A modified Susceptible-Infected-Recovered model for observed under-reported incidence data.

Authors:  Imelda Trejo; Nicolas W Hengartner
Journal:  PLoS One       Date:  2022-02-09       Impact factor: 3.240

7.  Strategies for pandemic and seasonal influenza vaccination of schoolchildren in the United States.

Authors:  Nicole E Basta; Dennis L Chao; M Elizabeth Halloran; Laura Matrajt; Ira M Longini
Journal:  Am J Epidemiol       Date:  2009-08-13       Impact factor: 4.897

8.  Modelling the progression of pandemic influenza A (H1N1) in Vietnam and the opportunities for reassortment with other influenza viruses.

Authors:  Maciej F Boni; Bui Huu Manh; Pham Quang Thai; Jeremy Farrar; Tran Tinh Hien; Nguyen Tran Hien; Nguyen Van Kinh; Peter Horby
Journal:  BMC Med       Date:  2009-09-03       Impact factor: 8.775

9.  The Relationship Between School Holidays and Transmission of Influenza in England and Wales.

Authors:  Charlotte Jackson; Emilia Vynnycky; Punam Mangtani
Journal:  Am J Epidemiol       Date:  2016-10-15       Impact factor: 4.897

10.  Addressing population heterogeneity and distribution in epidemics models using a cellular automata approach.

Authors:  Leonardo López; Germán Burguerner; Leonardo Giovanini
Journal:  BMC Res Notes       Date:  2014-04-12
  10 in total

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