ArticleVeterinary world2023
Prevalence of mastitis in dairy animals in Indonesia: A systematic review and meta-analysis.
Article in Veterinary world, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Multi-pathogen epidemiological survey of subclinical mastitis, gastrointestinal parasitism, and zoonotic diseases in smallholder dairy cattle in South Sulawesi, Indonesia.Veterinary world · 2026Article
- Prevalence of subclinical mastitis and associated biosecurity practices in peri-urban dairy farms.Open veterinary journal · 2026Article
- Identification of Nonclassical Enterotoxin Genes in Stored Staphylococcus aureus Isolates From Milk of Subclinical Mastitis Cows in Sumedang Regency.TheScientificWorldJournal · 2026Article
- Mastitis in goat: A review of etiology, epidemiology, economic impact, and public health concerns.One health (Amsterdam, Netherlands) · 2025Review
- Antibiotic resistance ofOpen veterinary journal · 2025Article
- Hematological and mineral alterations associated with subclinical mastitis in dairy cattle following the foot-and-mouth disease outbreak in West Java, Indonesia.Veterinary world · 2025Article
- Prevalence and risk factors of mastitis in Guranteng Dairy Farm, Tasikmalaya, Indonesia.Open veterinary journal · 2025Review
- Kinship analysis ofVeterinary world · 2024Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background and Aim: Mastitis is an important disease that can reduce milk production and farmer income as well as negatively affect human health. This study aimed to summarize dairy mastitis in Indonesia, both subclinical mastitis (SCM) and clinical mastitis (CM), and its prevalence in different provinces, the diagnostic methods, and the animal species. Materials and Methods: Relevant studies on mastitis in dairy animals in Indonesia were obtained from PubMed, Scopus, ProQuest, Google Scholar, and Garuda. The title and abstract were screened for the eligibility of the studies. The full text of the selected studies was assessed and the data were extracted for analysis. To determine the pooled estimate of the prevalence of mastitis, a random-effects model was performed using the "Meta" and "Metaphor" packages in the R software version 4.2.2. The heterogeneity of several characteristics (mastitis type, provinces, animal species, and diagnostic methods) was evaluated through subgroup meta-analysis. Meta-regression analysis was conducted to assess the trend of mastitis prevalence reports over time. Publication bias was evaluated using Egger's test and a funnel plot. Results: A total of 735 studies were retrieved for the title and abstract screening, which resulted in the final selection of 37 studies with a total of 6050 samples for meta-analysis. The pooled estimate of mastitis prevalence in dairy animals in Indonesia was 59.44% (95% confidence interval [CI], 52.39%-66.49%). Based on mastitis type, SCM had a significantly higher prevalence than CM (58.24% [95% CI, 51.26%-65.23%] vs. 3.31% [95% CI, 1.42%-5.19%]). No significant difference was observed in the analysis of other subgroups. Among provinces, Central Java had the highest prevalence (66.62% [95% CI, 49.37%-83.87%]), whereas Yogyakarta had the lowest (41.77% [95% CI, 14.96%-68.58%]). Based on animal species, cow and goat had a prevalence of 63.42% (95% CI, 55.97%-70.86%) and 44.96% (95% CI, 28.26%-61.66%), respectively. Based on the diagnostic method, the California mastitis test resulted in 60.08% (95% CI, 52.11%-68.06%) and the Institut Pertanian Bogor test, 56.00% (95% CI, 41.20%-70.81%). No significant change in the prevalence of mastitis in Indonesia was observed from 2003 to 2022. Conclusion: This study demonstrates that the pooled estimate of mastitis prevalence in dairy animals in Indonesia is >50%. Based on subgroup analysis, SCM had a higher prevalence than CM; however, the prevalence between provinces, detection methods, and animal species in the 2003-2022 periods was not significantly different. A mastitis control strategy needs to be developed to reduce the prevalence of mastitis and further loss in milk production.
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