Literature DB >> 26087887

Controlling highly pathogenic avian influenza outbreaks: An epidemiological and economic model analysis.

J A Backer1, H J W van Roermund2, E A J Fischer3, M A P M van Asseldonk4, R H M Bergevoet4.   

Abstract

Outbreaks of highly pathogenic avian influenza (HPAI) can cause large losses for the poultry sector and for animal disease controlling authorities, as well as risks for animal and human welfare. In the current simulation approach epidemiological and economic models are combined to compare different strategies to control highly pathogenic avian influenza in Dutch poultry flocks. Evaluated control strategies are the minimum EU strategy (i.e., culling of infected flocks, transport regulations, tracing and screening of contact flocks, establishment of protection and surveillance zones), and additional control strategies comprising pre-emptive culling of all susceptible poultry flocks in an area around infected flocks (1 km, 3 km and 10 km) and emergency vaccination of all flocks except broilers around infected flocks (3 km). Simulation results indicate that the EU strategy is not sufficient to eradicate an epidemic in high density poultry areas. From an epidemiological point of view, this strategy is the least effective, while pre-emptive culling in 10 km radius is the most effective of the studied strategies. But these two strategies incur the highest costs due to long duration (EU strategy) and large-scale culling (pre-emptive culling in 10 km radius). Other analysed pre-emptive culling strategies (i.e., in 1 km and 3 km radius) are more effective than the analysed emergency vaccination strategy (in 3 km radius) in terms of duration and size of the epidemics, despite the assumed optimistic vaccination capacity of 20 farms per day. However, the total costs of these strategies differ only marginally. Extending the capacity for culling substantially reduces the duration, size and costs of the epidemic. This study demonstrates the strength of combining epidemiological and economic model analysis to gain insight in a range of consequences and thus to serve as a decision support tool in the control of HPAI epidemics.
Copyright © 2015 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Control strategy; Economic assessment; Epidemiological model; HPAI; Highly pathogenic avian influenza; Pre-emptive culling; Vaccination

Mesh:

Year:  2015        PMID: 26087887     DOI: 10.1016/j.prevetmed.2015.06.006

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


  6 in total

1.  Risk of poultry compartments for transmission of Highly Pathogenic Avian Influenza.

Authors:  T J Hagenaars; G J Boender; R H M Bergevoet; H J W van Roermund
Journal:  PLoS One       Date:  2018-11-28       Impact factor: 3.240

2.  Assessment of China's H5N1 routine vaccination strategy.

Authors:  Zhen Sun; Jimin Wang; Zeying Huang
Journal:  Sci Rep       Date:  2017-04-19       Impact factor: 4.379

3.  Effective control measures considering spatial heterogeneity to mitigate the 2016-2017 avian influenza epidemic in the Republic of Korea.

Authors:  Jonggul Lee; Youngsuk Ko; Eunok Jung
Journal:  PLoS One       Date:  2019-06-13       Impact factor: 3.240

4.  Bayesian nonparametric inference for heterogeneously mixing infectious disease models.

Authors:  Rowland G Seymour; Theodore Kypraios; Philip D O'Neill
Journal:  Proc Natl Acad Sci U S A       Date:  2022-03-01       Impact factor: 11.205

5.  Effective thresholds for reporting suspicions and improve early detection of avian influenza outbreaks in layer chickens.

Authors:  Jose L Gonzales; Armin R W Elbers
Journal:  Sci Rep       Date:  2018-06-04       Impact factor: 4.379

6.  Highly pathogenic avian influenza subtype H5Nx clade 2.3.4.4 outbreaks in Dutch poultry farms, 2014-2018: Clinical signs and mortality.

Authors:  Janneke Schreuder; Thijs T M Manders; Armin R W Elbers; Arco N van der Spek; Ruth J Bouwstra; J Arjan Stegeman; Francisca C Velkers
Journal:  Transbound Emerg Dis       Date:  2020-05-17       Impact factor: 5.005

  6 in total

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