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

2015 Impact Factor Available summer 2016
2014 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.
    Preventive Veterinary Medicine 01/2019; 28(4):225-237. DOI:10.1016/0167-5877(96)01052-5
  • [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.
    Preventive Veterinary Medicine 09/2015; DOI:10.1016/j.prevetmed.2015.09.003
  • [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.
    Preventive Veterinary Medicine 08/2015; 121(3). DOI:10.1016/j.prevetmed.2015.08.001
  • [Show abstract] [Hide abstract]
    ABSTRACT: The present study investigated the simultaneous influence of particulate matter (PM10) and ammonia (NH3) on performance, lung lesions and the presence of Mycoplasma hyopneumoniae (M. hyopneumoniae) in finishing pigs. A pig herd experiencing clinical problems of M. hyopneumoniae infections was selected. In total, 1095 finishing pigs of two replicates in eight compartments each were investigated during the entire finishing period (FP). Indoor PM10 and NH3 were measured at regular intervals during the FP with two Grimm spectrometers and two Graywolf Particle Counters (PM10) and an Innova photoacoustic gas monitor (NH3). Average daily weight gain (ADG) and mortality were calculated and associated with PM10 and NH3 during the FP. Nasal swabs (10 pigs/compartment) were collected one week prior to slaughter to detect DNA of M. hyopneumoniae with nested PCR (nPCR). The prevalence and extent of pneumonia lesions, and prevalence of fissures and pleurisy were examined at slaughter (29 weeks). The results from the nasal swabs and lung lesions were associated with PM10 and NH3 during the FP and the second half of the FP. In the univariable model, increasing PM10 concentrations resulted in a higher odds of pneumonia lesions (second half of the FP: OR=8.72; P=0.015), more severe pneumonia lesions (FP: P=0.04, second half of the FP: P=0.009), a higher odds of pleurisy lesions (FP: OR=20.91; P<0.001 and second half of the FP: OR=40.85; P<0.001) and a higher number of nPCR positive nasal samples (FP: OR=328.00; P=0.01 and second half of the FP: OR=185.49; P=0.02). Increasing NH3 concentrations in the univariable model resulted in a higher odds of pleurisy lesions (FP: OR=21.54; P=0.003) and a higher number of nPCR positive nasal samples (FP: OR=70.39; P=0.049; second half of the FP: OR=8275.05; P=0.01). In the multivariable model, an increasing PM10 concentration resulted in a higher odds of pleurisy lesions (FP: OR=8.85; P=0.049). These findings indicate that the respiratory health of finishing pigs was significantly affected by PM10. Copyright © 2015 Elsevier B.V. All rights reserved.
    Preventive Veterinary Medicine 06/2015; 121(1-2). DOI:10.1016/j.prevetmed.2015.06.011
  • [Show abstract] [Hide abstract]
    ABSTRACT: Infectious diseases are a constant threat to industrialised farming, which is characterised by high densities of farms and farm animals. Several mathematical and statistical models on spatio-temporal dynamics of infectious diseases in various farmed host populations have been developed during the last decades. Here we present a spatio-temporal stochastic model for the spread of a disease between and within aquaculture farms. The spread between farms is divided into several transmission pathways, including (i) distance related spread and (ii) other types of contagious contacts. The within-farm infection dynamics is modelled by a susceptible-infected-recovered (SIR) model. We apply this framework to model the spread of pancreas disease (PD) in salmon farming, using data covering all farms producing salmonids over 9 years in Norway. The motivation for the study was partly to unravel the spatio-temporal dynamics of PD in salmon farming and partly to use the model for scenario simulation of PD control strategies. We find, for example, that within-farm infection dynamics vary with season and we provide estimates of the timing from unobserved infection events to disease outbreaks on farms are detected. The simulations suggest that if a strategy involving culling of infectious cohorts is implemented, the number of detected disease outbreaks per year may be reduced by 57% after the full effect has been reached. We argue that the high detail and coverage of data on salmonid production and disease occurrence should encourage the use of simulation modelling as a means of testing effects of extensive control measures before they are implemented in the salmon farming industry. Copyright © 2015 Elsevier B.V. All rights reserved.
    Preventive Veterinary Medicine 06/2015; 121(1-2). DOI:10.1016/j.prevetmed.2015.06.005