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Understanding the relative risks of zoonosis emergence under contrasting approaches to meeting livestock product demand.
Bartlett, Harriet; Holmes, Mark A; Petrovan, Silviu O; Williams, David R; Wood, James L N; Balmford, Andrew.
Afiliação
  • Bartlett H; Department of Zoology, University of Cambridge, Cambridge, UK.
  • Holmes MA; Department of Veterinary Medicine, University of Cambridge, Cambridge, UK.
  • Petrovan SO; Department of Veterinary Medicine, University of Cambridge, Cambridge, UK.
  • Williams DR; Department of Zoology, University of Cambridge, Cambridge, UK.
  • Wood JLN; BioRISC (Biosecurity Research Initiative at St Catharine's), St Catharine's College, Cambridge, UK.
  • Balmford A; Sustainability Research Institute, School of Earth and Environment, University of Leeds, Leeds, UK.
R Soc Open Sci ; 9(6): 211573, 2022 Jun.
Article em En | MEDLINE | ID: mdl-35754996
It has been argued that intensive livestock farming increases the risk of pandemics of zoonotic origin because of long-distance livestock movements, high livestock densities, poor animal health and welfare, low disease resistance and low genetic diversity. However, data on many of these factors are limited, and analyses to date typically ignore how land use affects emerging infectious disease (EID) risks, and how these risks might vary across systems with different yields (production per unit area). Extensive, lower yielding practices typically involve larger livestock populations, poorer biosecurity, more workers and more area under farming, resulting in different, but not necessarily lower, EID risks than higher yielding systems producing the same amount of food. To move this discussion forward, we review the evidence for each of the factors that potentially link livestock production practices to EID risk. We explore how each factor might vary with yield and consider how overall risks might differ across a mix of production systems chosen to reflect in broad terms the current livestock sector at a global level and in hypothetical low- and high-yield systems matched by overall level of production. We identify significant knowledge gaps for all potential risk factors and argue these shortfalls in understanding mean we cannot currently determine whether lower or higher yielding systems would better limit the risk of future pandemics.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Etiology_studies / Prognostic_studies / Risk_factors_studies Idioma: En Revista: R Soc Open Sci Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Etiology_studies / Prognostic_studies / Risk_factors_studies Idioma: En Revista: R Soc Open Sci Ano de publicação: 2022 Tipo de documento: Article