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Featured researches published by G. van Schaik.


Preventive Veterinary Medicine | 1998

Risk factors for existence of bovine herpes virus 1 antibodies on nonvaccinating Dutch dairy farms.

G. van Schaik; A.A. Dijkhuizen; R.B.M. Huirne; Y.H. Schukken; M. Nielen; H.J. Hage

A more closed farming system may prevent introduction of infectious diseases on dairy farms and can be a good starting point for control of these diseases. Data were available on the presence of Bovine Herpes Virus 1 (BHV1) antibodies in bulk milk and/or blood samples of Dutch dairy farms. Furthermore, information about the possible risk factors for introduction of infectious diseases was collected on 214 of these dairy farms. Data of 107 farms which had been never vaccinated against BHV1 remained for the analysis. A positive BHV1 status on these 107 farms could only be caused by introduction of BHV1. Risk factors for introduction of BHV1 on the farms were quantified using logistic regression. BHV1-positive farms purchased cattle and participated in cattle shows more often compared with BHV1-negative farms. A BHV1-positive farm also had more (professional) visitors in the barn who used farm clothing less often. The BHV1-positive farms were found to be situated closer to other cattle farms compared with the BHV1-negative farms.


Journal of Dairy Science | 2011

Invited review: Associations between variables of routine herd data and dairy cattle welfare indicators

M. de Vries; E.A.M. Bokkers; T. Dijkstra; G. van Schaik; I.J.M. de Boer

As farm animal welfare is high on the political and societal agendas of many countries, considerable pressure exists to establish audit programs in which farm animal welfare is routinely monitored. On-farm assessment of animal welfare, however, is time-consuming and costly. A promising strategy to monitor animal welfare more efficiently is to first estimate the level of animal welfare on a farm based on routine herd data that are available in national databases. It is not currently known which variables of routine herd data (VRHD) are associated with dairy cattle welfare indicators (WI). Our aim was to identify VRHD that are associated with WI in a literature review. The 27 VRHD used in this review included the main types of data that are currently collected in national herd databases of developed countries, and related to identification and registration, management, milk production, and reproduction of dairy herds. The 34 WI used in this review were based on the Welfare Quality Assessment Protocol for Cattle. The search yielded associations in 146 studies. Twenty-three VRHD were associated with 16 WI. The VRHD that related to milk yield, culling, and reproduction were associated with the largest number of WI. Few associations were found for WI that referred to behavioral aspects of animal welfare, nonspecific disease symptoms, or resources-based indicators. For 18 WI, associations with VRHD were not significant (n=5 WI) or no studies were found that investigated associations with VRHD (n=13 WI). It was concluded that many VRHD have potential to estimate the level of animal welfare on dairy farms. As strengths of associations were not considered in this review, however, the true value of these VRHD should be further explored. Moreover, associations found at the animal level and in an experimental setting might not appear at the farm level and in common practice and should be investigated. Cross-sectional studies using integrated welfare scores at the farm level are needed to more accurately determine the potential of VRHD to estimate levels of animal welfare on dairy farms.


Journal of Dairy Science | 2014

Evaluation of the use of dry cow antibiotics in low somatic cell count cows

C.G.M. Scherpenzeel; I.E.M. den Uijl; G. van Schaik; R.G.M. Olde Riekerink; J. Keurentjes; T.J.G.M. Lam

The goal of dry cow therapy (DCT) is to reduce the prevalence of intramammary infections (IMI) by eliminating existing IMI at drying off and preventing new IMI from occurring during the dry period. Due to public health concerns, however, preventive use of antibiotics has become questionable. This study evaluated selective DCT in 1,657 cows with low somatic cell count (SCC) at the last milk recording before drying off in 97 Dutch dairy herds. Low SCC was defined as <150,000 cells/mL for primiparous and <250,000 cells/mL for multiparous cows. A split-udder design was used in which 2 quarters of each cow were treated with dry cow antibiotics and the other 2 quarters remained as untreated controls. The effect of DCT on clinical mastitis (CM), bacteriological status, SCC, and antibiotic use were determined at the quarter level using logistic regression and chi-squared tests. The incidence rate of CM was found to be 1.7 times (95% confidence interval = 1.4-2.1) higher in quarters dried off without antibiotics as compared with quarters dried off with antibiotics. Streptococcus uberis was the predominant organism causing CM in both groups. Somatic cell count at calving and 14 d in milk was significantly higher in quarters dried off without antibiotics (772,000 and 46,000 cells/mL, respectively) as compared with the quarters dried off with antibiotics (578,000 and 30,000 cells/mL, respectively). Quarters with an elevated SCC at drying off and quarters with a positive culture for major pathogens at drying off had a higher risk for an SCC above 200,000 cells/mL at 14 d in milk as compared with quarters with a low SCC at drying off and quarters with a negative culture for major pathogens at drying off. For quarters that were culture-positive for major pathogens at drying off, a trend for a higher risk on CM was also found. Selective DCT, not using DCT in cows that had a low SCC at the last milk recording before drying off, significantly increased the incidence rate of CM and SCC. The decrease in antibiotic use by drying off quarters without DCT was not compensated by an increase in antibiotic use for treating CM. Total antibiotic use related to mastitis was reduced by 85% in these quarters.


Preventive Veterinary Medicine | 2013

Schmallenberg virus epidemic in the Netherlands: spatiotemporal introduction in 2011 and seroprevalence in ruminants.

Anouk Veldhuis; G. van Schaik; P. Vellema; A.R.W. Elbers; R.J. Bouwstra; H.M.J.F. van der Heijden; M.H. Mars

This study aimed at estimating the Schmallenberg virus (SBV) seroprevalence in dairy heifers, non-dairy adult cattle, sheep and goats in the Netherlands after cessation of SBV transmission at the end of 2011. Archived serum samples from ruminants submitted to the GD Animal Health Service for monitoring purposes between November 2011 and March 2012 were selected and tested for presence of SBV-specific antibodies using an in-house ELISA. Animal seroprevalences were estimated at 63.4% in dairy heifers, 98.5% in adult non-dairy cattle, 89.0% in sheep and 50.8% in goats. Multivariable analyses were carried out to describe the relationship between potential risk factors and the ELISA outcome S/P%. The overall SBV seroprevalence in ruminants and ruminant herds in the Netherlands at the end of 2011 was high, with considerable differences between species and farm types. No gradient spatial pattern in final seroprevalence could be detected and therefore no suggestions about the site of introduction and spread of SBV in the Netherlands in 2011 could be made. In dairy heifers, it was shown that S/P% increased with age. In sheep, S/P% was lower in animals located in the coastal area. Whether herds were located near the German border did not affect the S/P% in sheep nor in dairy heifers. An attempt was made to gain insight in the spatiotemporal introduction of SBV in the Netherlands in 2011, by testing sheep serum samples from 2011. A seroprevalence of about 2% was found in samples from April, June and July 2011, but the ELISA positive samples could not be confirmed in a virus neutralization test. A clear increase in seroprevalence started at August 2011. From mid-August 2011 onwards, seropositive samples were confirmed positive by virus neutralization testing. This indicated the start of the epidemic, but without a clear spatial pattern.


Journal of Dairy Science | 2010

Host adaptation of bovine Staphylococcus aureus seems associated with bacteriological cure after lactational antimicrobial treatment

B.H.P. van den Borne; M. Nielen; G. van Schaik; M.B. Melchior; T.J.G.M. Lam; Ruth N. Zadoks

Staphylococcus aureus causes a wide range of diseases in multiple species. Some sequence types (ST) are observed in a variety of hosts, whereas other strains are mainly associated with bovine mastitis, suggesting host adaptation. We propose that host adaptation of Staph. aureus may influence bacteriological cure of bovine subclinical mastitis after antimicrobial treatment. To test this hypothesis, multilocus sequence typing was performed on Staph. aureus isolates from 60 treated and 79 untreated control quarters that were obtained from well-defined cohorts of dairy cows from a recently conducted randomized field trial on early treatment of subclinical mastitis. Bovine-associated ST were distinguished from non-bovine-associated ST based on the literature and public databases. The association between host adaptation and bacteriological cure was investigated using population-averaged logistic regression models. Thirteen ST were identified, with approximately 80% of isolates belonging to bovine-associated ST. The odds for cure were around 2.5 times as high for non-bovine-associated ST as for bovine ST in treated quarters, whereas no difference in spontaneous cure was observed in untreated control quarters. In addition, host adaptation was related to known predictors of cure, such as penicillin susceptibility and somatic cell count. All isolates belonging to non-bovine-associated ST were resistant to penicillin, whereas the majority of isolates belonging to bovine-associated ST were penicillin susceptible. Penicillin-resistant bovine-associated strains were associated with high somatic cell counts compared with other strains. The correlation between penicillin resistance, cell counts, and host adaptation may affect the association between host adaptation and cure. For diagnostic purposes, a simple and fast alternative to multilocus sequence typing of Staph. aureus to determine host adaptation may be valuable.


Preventive Veterinary Medicine | 2013

Demography of Q fever seroprevalence in sheep and goats in The Netherlands in 2008

R. Van den Brom; L. Moll; G. van Schaik; P. Vellema

At the end of 2007, the first year of what later turned out to be one of the largest Q fever outbreaks in the world with ultimately almost 3500 human patients notified in three years time, dairy goats were suspected to be the possible cause. However, current information on the Q fever prevalence in small ruminants in The Netherlands was lacking. A serological survey, using an indirect ELISA, was carried out in 15,186 sheep and goats in The Netherlands in 2008. In total, 2.4% (95% CI: 2.2-2.7) of the sheep and 7.8% (95% CI: 6.9-8.8) of the goats was seropositive for antibodies against Coxiella burnetii. In 14.5% (95% CI: 12.5-16.5) of the sheep flocks and 17.9% (95% CI: 14.2-21.5) of the goat herds at least one seropositive animal was found. In sheep flocks with at least one seropositive sheep, the within herd seroprevalence was 14.8% (95% CI: 12.6-17.0). In goat herds with at least one seropositive goat, the within herd seroprevalence was 29.0% (95% CI: 24.6-33.3). The seropositive sheep were equally distributed across the country. The seroprevalence in goats in the south-eastern part of The Netherlands, the area where most of the human Q fever cases were notified, was significantly higher than the seroprevalence in goats in the rest of The Netherlands. Dairy sheep and dairy goats had a significantly higher chance of being seropositive than non-dairy sheep and goats. During pregnancy and in the periparturient period, small ruminants tested significantly more often seropositive than in the early- or non-pregnant period. The seroprevalence as well as the true prevalence among small ruminants in The Netherlands were lower than prevalences reported elsewhere. The seroprevalence among sheep was also lower than reported in an earlier Dutch study in 1987. The Q fever seroprevalence was highest in pregnant and periparturient dairy goats in the south-eastern part of The Netherlands, which coincides with the region with the highest human incidence of Q fever.


Journal of Dairy Science | 2010

Bioeconomic modeling of lactational antimicrobial treatment of new bovine subclinical intramammary infections caused by contagious pathogens

B.H.P. van den Borne; Tariq Hisham Beshara Halasa; G. van Schaik; H. Hogeveen; M. Nielen

This study determined the direct and indirect epidemiologic and economic effects of lactational treatment of new bovine subclinical intramammary infections (IMI) caused by contagious pathogens using an existing bioeconomic model. The dynamic and stochastic model simulated the dynamics of Staphylococcus aureus, Streptococcus uberis, Streptococcus dysgalactiae, and Escherichia coli during lactation and the dry period in a 100-cow dairy herd during 1 quota year. Input parameters on cure were obtained from recent Dutch field data. The costs of clinical IMI, subclinical IMI, and intervention were calculated into the combined total annual net costs of IMI per herd. The cost effectiveness of 4 scenarios with lactational intervention was determined; scenarios included no intervention, treatment after 1 mo of infection, treatment after 2 mo of infection, and treatment after 1 mo of infection and culling of uncured cows after 2 mo of infection. Model behavior was observed for variation in parameter input values. Compared with no lactational intervention, lactational intervention of new subclinical IMI resulted in fewer clinical flare ups, less transmission within the herd, and much lower combined total annual net costs of IMI in dairy herds. Antimicrobial treatment of IMI after 1 mo of infection and culling of uncured cows after 2 mo of infection resulted in the lowest costs, whereas treatment after 2 mo of infection was associated with the highest costs between the scenarios with intervention. Changing the probability of cure resulted in a nonlinear change in the cumulative incidence of IMI cases and associated costs. Lactational treatment was able to prevent IMI epidemics in dairy herds at high transmission rates of Strep. uberis, Strep. dysgalactiae, and E. coli. Lactational treatment did not limit the spread of Staph. aureus at high transmission rates, although the associated costs were lower compared with no intervention. To improve udder health in a dairy herd, lactational treatment of contagious subclinical IMI must therefore be preceded by management measures that lower the transmission rate. Lactational treatment of environmental subclinical IMI seemed less cost effective. Detection of subclinical IMI needs improvement to be able to most effectively treat subclinical IMI caused by contagious pathogens during lactation.


Journal of Dairy Science | 2010

Therapeutic effects of antimicrobial treatment during lactation of recently acquired bovine subclinical mastitis: two linked randomized field trials.

B.H.P. van den Borne; G. van Schaik; T.J.G.M. Lam; M. Nielen

Two linked randomized field trials were performed on 39 herds in the Netherlands to 1) determine therapeutic effects of antimicrobial treatment of recently acquired subclinical mastitis (RASCM) during lactation, 2) evaluate the effect of duration of subclinical mastitis on therapeutic outcome, and 3) identify factors related to the therapeutic success of RASCM. Cows with a first elevated composite somatic cell count (CSCC) after 2 consecutive low CSCC measurements were eligible for enrollment in trial 1 (treatment at the first elevated CSCC). Quarter milk samples were collected to determine bacteriological status for major pathogens and coagulase-negative staphylococci. Cows with one or more culture-positive quarters with a quarter somatic cell count (QSCC) >or=100,000 cells/mL were defined to have RASCM and were randomly assigned treatment or control (no treatment). Untreated cows from trial 1 that had a second elevated CSCC at the next milk recording were eligible for enrollment in trial 2 (treatment at the second elevated CSCC). In trial 2, staphylococci-positive cows (Staphylococcus aureus and coagulase-negative staphylococci) were randomly assigned to treatment or control. Farmers used their own treatment protocols to treat quarters in both trials. Bacteriological cure was defined as absence of the pathogen identified pre-intervention in 2 samples post-intervention; QSCC, CSCC, and milk yield were also analyzed. Hierarchical logistic and linear models were used to determine therapeutic effects and to identify factors related to therapy outcome. Treated quarters had a higher bacteriological cure rate than control quarters for all pathogens in both trials. Treatment resulted in lower QSCC and CSCC, whereas milk yield was not affected by treatment. Bacteriological cure of RASCM was better in quarters with a low QSCC pre-intervention and in coagulase-negative staphylococci-positive quarters. Control quarters with a single culture-positive sample pre-intervention also had a higher bacteriological cure than control quarters with >or=2 culture-positive samples. Time of antimicrobial treatment affected bacteriological cure for penicillin-sensitive Staph. aureus. Bacteriological cure tended to be higher for Staph. aureus after treatment at the first elevated CSCC compared with treatment at the second elevated CSCC. Thus, early treatment of Staph. aureus might be more effective than later treatment.


Preventive Veterinary Medicine | 2010

Variation in herd level mastitis indicators between primi- and multiparae in Dutch dairy herds

B.H.P. van den Borne; G. van Schaik; T.J.G.M. Lam; M. Nielen

Composite somatic cell count data from the national test day recording and reported cases of farmer diagnosed clinical mastitis were used to estimate the occurrence of mastitis from July 2004 to June 2005 in primi- and multiparae in the Netherlands. Herds had to participate in the test day recording and had to have at least 50 cows. A random selection of 396 of these dairy herds provided composite somatic cell count data, while 205 dairy herds additionally reported on clinical mastitis cases. Prevalence of subclinical mastitis was calculated per herd as the proportion of cows with somatic cell count>200,000cells/ml. The incidence rate to clinical mastitis was calculated as the number of clinical mastitis cases divided by the number of cow days at risk per herd. Negative binomial models were used to correct for overdispersion. Mean herd level subclinical mastitis prevalence was 12.8% (95% CI: 12.2-13.5%) in primi- and 27.1% (95% CI: 26.2-28.1%) in multiparae. Mean herd level clinical mastitis cases were observed 20.2 (95% CI: 18.3-22.4) and 39.6 (95% CI: 37.1-42.3) times per 100 cow-years at risk, respectively. Some herds had a high mastitis occurrence in one parity group, while it was low in the other. Parity-specific monitoring is needed to identify such herds.


Veterinary Microbiology | 2010

The increase in seroprevalence of bluetongue virus (BTV) serotype 8 infections and associated risk factors in Dutch dairy herds, in 2007.

I.M.G.A. Santman-Berends; C.J.M. Bartels; G. van Schaik; J.A. Stegeman; Piet Vellema

Bluetongue virus serotype 8 (BTV-8) emerged in the Netherlands in August 2006 for the first time. In the winter of 2006/2007, during the transmission free period, the government decided to establish a sentinel network to monitor the re-emergence of BTV-8 in 2007. Between June and December 2007, a sentinel network of 275 dairy herds with 8901 seronegative cows at start, was in place for BTV-8 testing in milk samples. Besides estimates of the monthly BTV-8 within-herd prevalence per region (south, central and north), this sentinel was used to determine BTV-8 associated risk factors. Information on management and housing practices that were hypothesized to be related to the increase in BTV-8 prevalence (risk factors) were used. Complete information on BTV-8 testing and management was obtained for 234 herds. At herd level, the increase in seroprevalence was defined as the total increase in seroprevalence amongst sentinel cows per herd during the sampling period (in months) divided by the number of sampling months in which the spread of BTV-8 occurred within the particular compartment in which the herd was located. This parameter was used as dependent variable in the linear regression analysis. The final model revealed four risk factors remained in the final model. Herds in the central and southern region of the Netherlands had a higher monthly increase in seroprevalence 6.4% (95% CI: 3.1-9.9) and 10.1% (95% CI: 6.2-14.3), respectively compared to herds in the northern region. Furthermore, there was a strong association with grazing. The monthly increase in seroprevalence in cattle pastured a few hours per day or throughout the day was 5.6% (95% CI: 1.4-10.2) to 11.4% (95% CI: 6.0-17.3) higher, relative to that for cattle kept indoors. For cattle that grazed outdoors throughout the day and the night, the monthly increase in seroprevalence was 13.6% (95% CI: 7.2-20.8). In addition, an association was found between the monthly increase in seroprevalence and some factors relating to stable design. Keeping the stable doors closed during the day was linked to a higher seroprevalence rate compared to that in stables with the door left open (3.6% (95% CI: 0.3-7.1)). Furthermore, a horizontal ventilation opening (>30 cm) along the walls of the stable, and with a windbreak curtain, appeared to offer some protection (-3.0% per month (95% CI: -6.0 to 0.2)) as compared to stables that had no or, only a small, ventilation opening (<30 cm). By the second half of 2007, bluetongue had spread over throughout the Netherlands. Our study indicated that there were some management factors that may help limit exposure to BTV-8 and its consequences.

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M. de Vries

Wageningen University and Research Centre

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E.A.M. Bokkers

Wageningen University and Research Centre

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I.J.M. de Boer

Wageningen University and Research Centre

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B. Engel

Wageningen University and Research Centre

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H. Hogeveen

Wageningen University and Research Centre

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J. Jansen

Wageningen University and Research Centre

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