Literature DB >> 23843396

Inferring the causes of the three waves of the 1918 influenza pandemic in England and Wales.

Daihai He1, Jonathan Dushoff, Troy Day, Junling Ma, David J D Earn.   

Abstract

Past influenza pandemics appear to be characterized by multiple waves of incidence, but the mechanisms that account for this phenomenon remain unclear. We propose a simple epidemic model, which incorporates three factors that might contribute to the generation of multiple waves: (i) schools opening and closing, (ii) temperature changes during the outbreak, and (iii) changes in human behaviour in response to the outbreak. We fit this model to the reported influenza mortality during the 1918 pandemic in 334 UK administrative units and estimate the epidemiological parameters. We then use information criteria to evaluate how well these three factors explain the observed patterns of mortality. Our results indicate that all three factors are important but that behavioural responses had the largest effect. The parameter values that produce the best fit are biologically reasonable and yield epidemiological dynamics that match the observed data well.

Entities:  

Keywords:  Spanish flu; behavioural response; iterated filtering; pandemic influenza; school closure; weather

Mesh:

Year:  2013        PMID: 23843396      PMCID: PMC3730600          DOI: 10.1098/rspb.2013.1345

Source DB:  PubMed          Journal:  Proc Biol Sci        ISSN: 0962-8452            Impact factor:   5.349


  38 in total

Review 1.  Modelling the influence of human behaviour on the spread of infectious diseases: a review.

Authors:  Sebastian Funk; Marcel Salathé; Vincent A A Jansen
Journal:  J R Soc Interface       Date:  2010-05-26       Impact factor: 4.118

2.  Epidemiological evidence of an early wave of the 1918 influenza pandemic in New York City.

Authors:  Donald R Olson; Lone Simonsen; Paul J Edelson; Stephen S Morse
Journal:  Proc Natl Acad Sci U S A       Date:  2005-07-26       Impact factor: 11.205

3.  Estimation of potential global pandemic influenza mortality on the basis of vital registry data from the 1918-20 pandemic: a quantitative analysis.

Authors:  Christopher J L Murray; Alan D Lopez; Brian Chin; Dennis Feehan; Kenneth H Hill
Journal:  Lancet       Date:  2006-12-23       Impact factor: 79.321

4.  Inference for nonlinear dynamical systems.

Authors:  E L Ionides; C Bretó; A A King
Journal:  Proc Natl Acad Sci U S A       Date:  2006-11-22       Impact factor: 11.205

5.  The 1918-1919 influenza pandemic in England and Wales: spatial patterns in transmissibility and mortality impact.

Authors:  Gerardo Chowell; Luís M A Bettencourt; Niall Johnson; Wladimir J Alonso; Cécile Viboud
Journal:  Proc Biol Sci       Date:  2008-03-07       Impact factor: 5.349

6.  School opening dates predict pandemic influenza A(H1N1) outbreaks in the United States.

Authors:  Dennis L Chao; M Elizabeth Halloran; Ira M Longini
Journal:  J Infect Dis       Date:  2010-09-15       Impact factor: 5.226

7.  The second wave of 2009 pandemic influenza A(H1N1) in New Zealand, January-October 2010.

Authors:  D Bandaranayake; M Jacobs; M Baker; D Hunt; T Wood; A Bissielo; M Macfarlane; L Lopez; G Mackereth; Qs Huang
Journal:  Euro Surveill       Date:  2011-02-10

8.  Behavioural responses to influenza pandemics: what do we know?

Authors:  Marta Balinska; Caterina Rizzo
Journal:  PLoS Curr       Date:  2009-09-09

9.  Estimates of the reproduction numbers of Spanish influenza using morbidity data.

Authors:  Emilia Vynnycky; Amy Trindall; Punam Mangtani
Journal:  Int J Epidemiol       Date:  2007-05-21       Impact factor: 7.196

10.  Public health interventions for epidemics: implications for multiple infection waves.

Authors:  Lindsay Wessel; Yi Hua; Jianhong Wu; Seyed M Moghadas
Journal:  BMC Public Health       Date:  2011-02-25       Impact factor: 3.295

View more
  44 in total

1.  The evolution of pandemic influenza: evidence from India, 1918-19.

Authors:  Siddharth Chandra; Eva Kassens-Noor
Journal:  BMC Infect Dis       Date:  2014-09-19       Impact factor: 3.090

2.  Mutation induced infection waves in diseases like COVID-19.

Authors:  Fabian Jan Schwarzendahl; Jens Grauer; Benno Liebchen; Hartmut Löwen
Journal:  Sci Rep       Date:  2022-06-10       Impact factor: 4.996

3.  A second-order iterated smoothing algorithm.

Authors:  Dao Nguyen; Edward L Ionides
Journal:  Stat Comput       Date:  2016-10-15       Impact factor: 2.559

Review 4.  Non-pharmaceutical interventions during the COVID-19 pandemic: A review.

Authors:  Nicola Perra
Journal:  Phys Rep       Date:  2021-02-13       Impact factor: 25.600

5.  Modelling the Measles Outbreak at Hong Kong International Airport in 2019: A Data-Driven Analysis on the Effects of Timely Reporting and Public Awareness.

Authors:  Shi Zhao; Xiujuan Tang; Xue Liang; Marc K C Chong; Jinjun Ran; Salihu S Musa; Guangpu Yang; Peihua Cao; Kai Wang; Benny C Y Zee; Xin Wang; Daihai He; Maggie H Wang
Journal:  Infect Drug Resist       Date:  2020-06-17       Impact factor: 4.003

6.  The shortage of hospital beds for COVID-19 and non-COVID-19 patients during the lockdown of Wuhan, China.

Authors:  Zian Zhuang; Peihua Cao; Shi Zhao; Lefei Han; Daihai He; Lin Yang
Journal:  Ann Transl Med       Date:  2021-02

7.  Impact of School Cycles and Environmental Forcing on the Timing of Pandemic Influenza Activity in Mexican States, May-December 2009.

Authors:  James Tamerius; Cécile Viboud; Jeffrey Shaman; Gerardo Chowell
Journal:  PLoS Comput Biol       Date:  2015-08-20       Impact factor: 4.475

8.  Epidemic Wave Dynamics Attributable to Urban Community Structure: A Theoretical Characterization of Disease Transmission in a Large Network.

Authors:  Anne G Hoen; Thomas J Hladish; Rosalind M Eggo; Michael Lenczner; John S Brownstein; Lauren Ancel Meyers
Journal:  J Med Internet Res       Date:  2015-07-08       Impact factor: 5.428

9.  Disease Interventions Can Interfere with One Another through Disease-Behaviour Interactions.

Authors:  Michael A Andrews; Chris T Bauch
Journal:  PLoS Comput Biol       Date:  2015-06-05       Impact factor: 4.475

Review 10.  Effectiveness of non-pharmaceutical interventions related to social distancing on respiratory viral infectious disease outcomes: A rapid evidence-based review and meta-analysis.

Authors:  Rubina F Rizvi; Kelly J Thomas Craig; Rezzan Hekmat; Fredy Reyes; Brett South; Bedda Rosario; William J Kassler; Gretchen P Jackson
Journal:  SAGE Open Med       Date:  2021-06-06
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.