Literature DB >> 25359684

Behavioural response in educated young adults towards influenza A(H1N1)pdm09.

S C Chen1, N H Hsieh2, S H You3, C H Wang3, C M Liao3.   

Abstract

The purpose of this paper was to determine how contact behaviour change influences the indoor transmission of influenza A(H1N1)pdm09 among school children. We incorporated transmission rate matrices constructed from questionnaire responses into an epidemiological model to simulate contact behaviour change during an influenza epidemic. We constructed a dose-response model describing the relationships between contact rate, viral load, and respiratory symptom scores using published experimental human infection data for A(H1N1)pdm09. Findings showed that that mean numbers of contacts were 5.66 ± 6.23 and 1.96 ± 2.76 d-1 in the 13-19 and 40-59 years age groups, respectively. We found that the basic reproduction number (R 0) was <1 during weekends in pandemic periods, implying that school closures or class suspensions are probably an effective social distancing policy to control pandemic influenza transmission. We conclude that human contact behaviour change is a potentially influential factor on influenza infection rates. For substantiation of this effect, we recommend a future study with more comprehensive control measures.

Entities:  

Keywords:  A(H1N1)pdm09; contact behaviour; contact matrix; indoor transmission; influenza; modelling

Mesh:

Year:  2014        PMID: 25359684      PMCID: PMC9507250          DOI: 10.1017/S0950268814002714

Source DB:  PubMed          Journal:  Epidemiol Infect        ISSN: 0950-2688            Impact factor:   4.434


  33 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.  Disease mitigation measures in the control of pandemic influenza.

Authors:  Thomas V Inglesby; Jennifer B Nuzzo; Tara O'Toole; D A Henderson
Journal:  Biosecur Bioterror       Date:  2006

3.  Capturing human behaviour.

Authors:  Neil Ferguson
Journal:  Nature       Date:  2007-04-12       Impact factor: 49.962

4.  Adaptive human behavior in epidemiological models.

Authors:  Eli P Fenichel; Carlos Castillo-Chavez; M G Ceddia; Gerardo Chowell; Paula A Gonzalez Parra; Graham J Hickling; Garth Holloway; Richard Horan; Benjamin Morin; Charles Perrings; Michael Springborn; Leticia Velazquez; Cristina Villalobos
Journal:  Proc Natl Acad Sci U S A       Date:  2011-03-28       Impact factor: 11.205

5.  Using data on social contacts to estimate age-specific transmission parameters for respiratory-spread infectious agents.

Authors:  Jacco Wallinga; Peter Teunis; Mirjam Kretzschmar
Journal:  Am J Epidemiol       Date:  2006-09-12       Impact factor: 4.897

6.  The spread of awareness and its impact on epidemic outbreaks.

Authors:  Sebastian Funk; Erez Gilad; Chris Watkins; Vincent A A Jansen
Journal:  Proc Natl Acad Sci U S A       Date:  2009-03-30       Impact factor: 11.205

7.  Use of seasonal influenza virus titer and respiratory symptom score to estimate effective human contact rates.

Authors:  Szu-Chieh Chen; Shu-Han You; Min-Pei Ling; Chia-Pin Chio; Chung-Min Liao
Journal:  J Epidemiol       Date:  2012-04-21       Impact factor: 3.211

8.  Social contact networks and disease eradicability under voluntary vaccination.

Authors:  Ana Perisic; Chris T Bauch
Journal:  PLoS Comput Biol       Date:  2009-02-06       Impact factor: 4.475

9.  A simulation analysis to characterize the dynamics of vaccinating behaviour on contact networks.

Authors:  Ana Perisic; Chris T Bauch
Journal:  BMC Infect Dis       Date:  2009-05-28       Impact factor: 3.090

Review 10.  Non-pharmaceutical public health interventions for pandemic influenza: an evaluation of the evidence base.

Authors:  Julia E Aledort; Nicole Lurie; Jeffrey Wasserman; Samuel A Bozzette
Journal:  BMC Public Health       Date:  2007-08-15       Impact factor: 3.295

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  2 in total

1.  Assessing the oseltamivir-induced resistance risk and implications for influenza infection control strategies.

Authors:  Nan-Hung Hsieh; Yi-Jun Lin; Ying-Fei Yang; Chung-Min Liao
Journal:  Infect Drug Resist       Date:  2017-07-20       Impact factor: 4.003

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

Authors:  Roya Nikbakht; Mohammad Reza Baneshi; Abbas Bahrampour; Abolfazl Hosseinnataj
Journal:  J Res Med Sci       Date:  2019-07-24       Impact factor: 1.852

  2 in total

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