Preventive Veterinary Medicine (PREV VET MED)

Publisher: Elsevier

Journal description

This journal is the leading resource for international reports on animal health programs and preventive veterinary medicine. Published 20 times a year, the journal focuses on the epidemiology of domestic and wild animals, costs of epidemic and endemic diseases of animals, the latest methods in veterinary epidemiology, disease control or eradication by public veterinary services, relationships between veterinary medicine and animal production, and development of new techniques in diagnosing, recording, evaluating and controlling diseases in animal populations.

Current impact factor: 2.17

Impact Factor Rankings

2016 Impact Factor Available summer 2017
2014 / 2015 Impact Factor 2.167
2013 Impact Factor 2.506
2012 Impact Factor 2.389
2011 Impact Factor 2.046
2010 Impact Factor 2.07
2009 Impact Factor 2.121
2008 Impact Factor 1.506
2007 Impact Factor 1.704
2006 Impact Factor 1.533
2005 Impact Factor 1.354
2004 Impact Factor 1.26
2003 Impact Factor 1.063
2002 Impact Factor 1.433
2001 Impact Factor 1.368
2000 Impact Factor 1.307
1999 Impact Factor 0.735
1998 Impact Factor 0.764
1997 Impact Factor 0.568

Impact factor over time

Impact factor

Additional details

5-year impact 2.29
Cited half-life 7.00
Immediacy index 0.47
Eigenfactor 0.01
Article influence 0.62
Website Preventive Veterinary Medicine website
Other titles Preventive veterinary medicine (Online)
ISSN 0167-5877
OCLC 39183545
Material type Document, Periodical, Internet resource
Document type Internet Resource, Computer File, Journal / Magazine / Newspaper

Publisher details


  • Pre-print
    • Author can archive a pre-print version
  • Post-print
    • Author can archive a post-print version
  • Conditions
    • Authors pre-print on any website, including arXiv and RePEC
    • Author's post-print on author's personal website immediately
    • Author's post-print on open access repository after an embargo period of between 12 months and 48 months
    • Permitted deposit due to Funding Body, Institutional and Governmental policy or mandate, may be required to comply with embargo periods of 12 months to 48 months
    • Author's post-print may be used to update arXiv and RepEC
    • Publisher's version/PDF cannot be used
    • Must link to publisher version with DOI
    • Author's post-print must be released with a Creative Commons Attribution Non-Commercial No Derivatives License
    • Publisher last reviewed on 03/06/2015
  • Classification

Publications in this journal

  • Source
    [Show abstract] [Hide abstract]
    ABSTRACT: Data f'rom surveys should be weighted using expansion weights to avoid biased estimates for the inference population. Calculation of expansion weights is a stepwise procedure that can be thought of as allowing respondents to represent all eligibles from the population. Design will have an impact on the variance of the estimates. Furthermore, the impact may be to inflate or deflate the variance and is often variable-dependent. Accounting for the design in estimating the variance will require specialized analysis procedures and often specialized software.
    Preview · Article · Jan 2019 · Preventive Veterinary Medicine

  • No preview · Article · Jan 2016 · Preventive Veterinary Medicine
  • [Show abstract] [Hide abstract]
    ABSTRACT: With an increasing burden on public sector budgets, increased responsibility and cost sharing mechanisms for animal diseases are being considered. To achieve this, fiscal and non-fiscal intervention policies need to be designed such that they consistently promote positive disease risk management practices by animal keepers. This paper presents a review of the available evidence towards whether and how the level and type of funding mechanism affects change within biosecurity behaviours and the frequency of disease reporting. A Nuffield Health Ladder of Interventions approach is proposed as a way to frame the debate surrounding both current compensation mechanisms and how it is expected to change behaviour. Results of the review reveal a division between economic modelling approaches, which implicitly assume a causal link between payments and positive behaviours, and socio-geographic approaches which tend to ignore the influence of compensation mechanisms on influencing behaviours. Generally, economic studies suggest less than full compensation rates will encourage positive behaviours, but the non-economic literature indicate significant variation in response to compensation reflecting heterogeneity of livestock keepers in terms of their values, goals, risk attitudes, size of operation, animal species and production chain characteristics. This may be of encouragement to Western Governments seeking to shift cost burdens as it may induce greater targeting of non-fiscal mechanisms, or suggest more novel ways to augment current compensation mechanisms to both increase responsibility sharing and reduce this cost burden. This review suggests that a range of regulatory, fiscal and nudging policies are required to achieve socially optimal results with respect to positive behaviour change. However, the lack of directly available evidence which proves these causal links may hinder progress towards this optimal mixture of choice and non-choice based interventions.
    No preview · Article · Sep 2015 · Preventive Veterinary Medicine

  • No preview · Article · Sep 2015 · Preventive Veterinary Medicine
  • [Show abstract] [Hide abstract]
    ABSTRACT: Information related to mastitis risk factors is useful for the design and implementation of clinical mastitis (CM) control programs. The first objective of our study was to model the risk of CM under Brazilian conditions, using cow-specific risk factors. Our second objective was to explore which risk factors were associated with the occurrence of the most common pathogens involved in Brazilian CM infections. The analyses were based on 65 months of data from 9,789 dairy cows and 12,464 CM cases. Cow-specific risk factors that could easily be measured in standard Brazilian dairy farms were used in the statistical analyses, which included logistic regression and multinomial logistic regression. The first month of lactation, high somatic cell count, rainy season and history of clinical mastitis cases were factors associated with CM for both primiparous and multiparous cows. In addition, parity and breed were also associated risk factors for multiparous cows. Of all CM cases, 54% showed positive bacteriological culturing results from which 57% were classified as environmental pathogens, with a large percentage of coliforms (35%). Coagulase-negative Staphylococcus (16%), Streptococcus uberis (9%), Streptococcus agalactiae (7%) and other Streptococci (9%) were also common pathogens. Among the pathogens analyzed, the association of cow-specific risk factors, such as Zebu breed (OR=5.84, 95%CI 3.77-10.77) and accumulated history of SCC (1.76, 95%CI 1.37-2.27), was different for CM caused by Coagulase-negative Staphylococcus and S. agalactiae in comparison to CM caused by coliforms. Our results suggest that CM control programs in Brazil should specially consider the recent history of clinical mastitis cases and the beginning of the lactations, mainly during the rainy season as important risk factor for mastitis. Copyright © 2015. Published by Elsevier B.V.
    No preview · Article · Aug 2015 · Preventive Veterinary Medicine