Literature DB >> 19178968

Back-calculation method shows that within-flock transmission of highly pathogenic avian influenza (H7N7) virus in the Netherlands is not influenced by housing risk factors.

Marian E H Bos1, Mirjam Nielen, Guus Koch, Annemarie Bouma, Mart C M De Jong, Arjan Stegeman.   

Abstract

To optimize control of an avian influenza outbreak knowledge of within-flock transmission is needed. This study used field data to estimate the transmission rate parameter (beta) and the influence of risk factors on within-flock transmission of highly pathogenic avian influenza (HPAI) H7N7 virus in the 2003 epidemic in The Netherlands. The estimation is based on back-calculation of daily mortality data to fit a susceptible-infectious-dead format, and these data were analysed with a generalized linear model. This back-calculation method took into account the uncertainty of the length of the latent period, the survival of an infection by some birds and the influence of farm characteristics. After analysing the fit of the different databases created by back-calculation, it could be concluded that an absence of the latency period provided the best fit. The transmission rate parameter (beta) from these field data was estimated at 4.50 per infectious chicken per day (95% CI: 2.68-7.57), which was lower than what was reported from experimental data. In contrast to general belief, none of the studied risk factors (housing system, flock size, species, age of the birds in weeks and date of depopulation) had significant influence on the estimated beta.

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Year:  2009        PMID: 19178968     DOI: 10.1016/j.prevetmed.2008.12.003

Source DB:  PubMed          Journal:  Prev Vet Med        ISSN: 0167-5877            Impact factor:   2.670


  13 in total

1.  Comparative analysis of avian influenza virus diversity in poultry and humans during a highly pathogenic avian influenza A (H7N7) virus outbreak.

Authors:  Marcel Jonges; Arnaud Bataille; Remko Enserink; Adam Meijer; Ron A M Fouchier; Arjan Stegeman; Guus Koch; Marion Koopmans
Journal:  J Virol       Date:  2011-08-17       Impact factor: 5.103

2.  Exact Bayesian inference of epidemiological parameters from mortality data: application to African swine fever virus.

Authors:  David A Ewing; Christopher M Pooley; Kokouvi M Gamado; Thibaud Porphyre; Glenn Marion
Journal:  J R Soc Interface       Date:  2022-03-09       Impact factor: 4.118

3.  Quantifying transmission of highly pathogenic and low pathogenicity H7N1 avian influenza in turkeys.

Authors:  Roberto A Saenz; Steve C Essen; Sharon M Brookes; Munir Iqbal; James L N Wood; Bryan T Grenfell; John W McCauley; Ian H Brown; Julia R Gog
Journal:  PLoS One       Date:  2012-09-18       Impact factor: 3.240

4.  Transmission dynamics of low pathogenicity avian influenza infections in Turkey flocks.

Authors:  Arianna Comin; Don Klinkenberg; Stefano Marangon; Anna Toffan; Arjan Stegeman
Journal:  PLoS One       Date:  2011-10-26       Impact factor: 3.240

5.  Modelling the wind-borne spread of highly pathogenic avian influenza virus between farms.

Authors:  Amos Ssematimba; Thomas J Hagenaars; Mart C M de Jong
Journal:  PLoS One       Date:  2012-02-14       Impact factor: 3.240

6.  Inferring within-herd transmission parameters for African swine fever virus using mortality data from outbreaks in the Russian Federation.

Authors:  C Guinat; T Porphyre; A Gogin; L Dixon; D U Pfeiffer; S Gubbins
Journal:  Transbound Emerg Dis       Date:  2017-11-09       Impact factor: 5.005

7.  Estimating the introduction time of highly pathogenic avian influenza into poultry flocks.

Authors:  Peter H F Hobbelen; Armin R W Elbers; Marleen Werkman; Guus Koch; Francisca C Velkers; Arjan Stegeman; Thomas J Hagenaars
Journal:  Sci Rep       Date:  2020-07-24       Impact factor: 4.379

Review 8.  Using quantitative disease dynamics as a tool for guiding response to avian influenza in poultry in the United States of America.

Authors:  K M Pepin; E Spackman; J D Brown; K L Pabilonia; L P Garber; J T Weaver; D A Kennedy; K A Patyk; K P Huyvaert; R S Miller; A B Franklin; K Pedersen; T L Bogich; P Rohani; S A Shriner; C T Webb; S Riley
Journal:  Prev Vet Med       Date:  2013-12-01       Impact factor: 2.670

9.  Surveillance of low pathogenic novel H7N9 avian influenza in commercial poultry barns: detection of outbreaks and estimation of virus introduction time.

Authors:  Amy Pinsent; Isobel M Blake; Michael T White; Steven Riley
Journal:  BMC Infect Dis       Date:  2014-08-01       Impact factor: 3.090

10.  Small-scale pig farmers' behavior, silent release of African swine fever virus and consequences for disease spread.

Authors:  Solenne Costard; Francisco J Zagmutt; Thibaud Porphyre; Dirk Udo Pfeiffer
Journal:  Sci Rep       Date:  2015-11-27       Impact factor: 4.379

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