# Bovine mastitis epidemiology: Prevalence, risk factors, control program gaps and biosecurity recommendations to improve animal health in the Rwandan smallholder dairy farms

**Authors:** Blaise Iraguha, Methode Ngabo Gasana, Jean Pierre M. Mpatswenumugabo, Mourad Mahmoud, Mourad Mahmoud, Mourad Mahmoud

PMC · DOI: 10.1371/journal.pone.0329250 · 2026-03-06

## TL;DR

This study in Rwanda finds that poor hygiene and management practices are major causes of bovine mastitis, suggesting improved biosecurity and farmer education could significantly reduce the issue.

## Contribution

The study identifies specific risk factors and control program gaps in smallholder dairy farms in Rwanda, offering targeted biosecurity recommendations.

## Key findings

- Mastitis prevalence was 60.06%, with subclinical cases accounting for 56.9%.
- Poor cow hygiene was the strongest predictor of mastitis (OR = 85.47).
- In zero-grazing systems, poor housing drainage significantly increased mastitis risk (OR = 109).

## Abstract

Bovine mastitis remains a significant challenge to dairy health management worldwide, with substantial economic and public health implications. In Rwanda, where traditional dairy farming is crucial for household livelihoods and the national economy, mastitis reduces milk yield and increases the risk for bacterial contamination, posing serious food safety concerns. This study, conducted in Rwanda’s North-Western region from January 2024 to April 2024, aimed to identify key mastitis risk factors, evaluate existing control gaps, and propose evidence-based interventions. This cross-sectional study collected data from 411 smallholder dairy farms in Rwanda, assessing one lactating cow per farm through clinical examination, California Mastitis Test, and structured farmer questionnaires on management and hygiene practices. Logistic regression analysis in R identified significant cow-related and farm-level risk factors, providing a basis for targeted mastitis control and biosecurity recommendations. The overall mastitis prevalence was 60.06% (95% CI: 53.57–66.55), with subclinical cases alone accounting for 56.9%. Poor cow hygiene emerged as the strongest predictor (OR = 85.47, 95% CI: 27.18–268.74; p < 0.001). Other associated factors included exotic pure breeds, late lactation stages, and multiparity. External contributors included inadequate milking practices and limited veterinary access. In zero-grazing systems, poor housing drainage (OR = 109, 95% CI: 26.46–507.18; p < 0.001) and infrequent bedding changes (OR = 6.36, 95% CI: 3.38–12.78; p = 0.014) significantly increased mastitis risk. Identified gaps included lack of farmer knowledge, insufficient access to affordable mastitis control supplies (e.g., disinfectants such as iodine or chlorine dioxide), inappropriate mastitis treatments, poor farm biosecurity, and inefficient quality control in the milk marketing chain. Strengthening farm biosecurity, implementing a national mastitis control program, and enhancing veterinary extension are essential to reduce mastitis and improve milk safety. Coordinated stakeholder action is vital for sustainable dairy development and public health.

## Linked entities

- **Chemicals:** iodine (PubChem CID 807), chlorine dioxide (PubChem CID 24870)
- **Diseases:** bovine mastitis (MONDO:0025100)
- **Species:** Bos taurus (taxon 9913)

## Full-text entities

- **Diseases:** bacterial (MESH:D001424), infection (MESH:D007239), deaths (MESH:D003643), blind (MESH:D001766), Mastitis (MESH:D008413), atrophy (MESH:D001284), swelling (MESH:D004487), pain (MESH:D010146), inflammation (MESH:D007249), injuries (MESH:D014947), fibrosis (MESH:D005355)
- **Chemicals:** iodine (MESH:D007455), CMT (-), water (MESH:D014867), lactose (MESH:D007785), chlorine dioxide (MESH:C025109)
- **Species:** Bos taurus (bovine, species) [taxon 9913], Streptococcus agalactiae (species) [taxon 1311], Homo sapiens (human, species) [taxon 9606], Staphylococcus aureus (species) [taxon 1280], Mycoplasmopsis bovis (species) [taxon 28903]

## Figures

8 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12965528/full.md

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Source: https://tomesphere.com/paper/PMC12965528