ArticleFrontiers in veterinary science2021
Spatio-Temporal Variation in the Prevalence of Major Mastitis Pathogens Isolated From Bovine Milk Samples Between 2008 and 2017 in Ontario, Canada.
Article in Frontiers in veterinary science, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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10 citing papers in PubMed, 18 citations in OpenAlex.
- Annual and Seasonal Trends in Mastitis Pathogens Isolated from Milk Samples from Dairy Cows of California's San Joaquin Valley Dairies Between January 2009 and December 2023.Veterinary sciences · 2025Article
- Occurrence of mastitis pathogens in cow's milk samples from the Hanover region, north-western Germany - an overview of routine laboratory data from 2005 to 2023.Veterinary research communications · 2025Article
- Isolation and Characterization ofIndian journal of microbiology · 2024Article
- Distribution of Bovine Mastitis Pathogens in Quarter Milk Samples from Bavaria, Southern Germany, between 2014 and 2023-A Retrospective Study.Animals : an open access journal from MDPI · 2024Article
- Lactococcus garvieae exerts a critical role in inducing inflammation in dairy mastitis by triggering NLRP3 inflammasome-mediated pyroptosis in MAC-T cells.World journal of microbiology & biotechnology · 2024Article
- Host DNA depletion methods and genome-centric metagenomics of bovine hindmilk microbiome.mSphere · 2024Article
- Molecular Characterization of Resistance and Virulence Factors ofInfection and drug resistance · 2024Article
- Identification and Classification of Long Non-Coding RNAs in the Mammary Gland of the Holstein Cow.International journal of molecular sciences · 2023Article
- Comparative Genomic Analyses of Lactococcus garvieae Isolated from Bovine Mastitis in China.Microbiology spectrum · 2023Article
- Emerging Roles of Noncoding RNAs in Bovine Mastitis Diseases.Pathogens (Basel, Switzerland) · 2022Review
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Authors and funding
4 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
An understanding of the spatio-temporal distribution of several groups of mastitis pathogens can help to inform programs for the successful control and management of mastitis. However, in the absence of an active surveillance program such information is not readily available. In this retrospective study we analyzed passive surveillance data from a diagnostic laboratory with an aim to describe the spatio-temporal trend of major mastitis pathogens between 2008 and 2017 in Ontario dairy cattle. Data for all milk culture samples submitted to the Animal Health Laboratory (AHL) at the University of Guelph between 2008 and 2017 was accessed. Descriptive analyses were conducted to identify the major pathogens and Chi-square goodness-of-fit tests were used to compare between multiple proportions. Likewise, univariable logistic regression analysis was performed to determine if there was a change in the probability of isolating the major mastitis pathogens depending on geography or time. Seasonality was assessed by calculating the seasonal relative risk (RR). Of a total of 85,979 milk samples examined, more than half of the samples (61.07%) showed no growth and the proportion of samples that showed no growth almost halved during the study period. Of the samples (36.21%,
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