Assessment of antimicrobial resistance in bovine mastitis pathogens across smallholder farms in Southeast Asia
Table Of Contents
Chapter ONE
INTRODUCTION
- 1.1Introduction
- 1.2Background of the Study
- 1.3Statement of the Problem
- 1.4Aim and Objectives of the Study
- 1.5Research Questions
- 1.6Research Hypotheses
- 1.7Significance of the Study
- 1.8Scope and Delimitation of the Study
- 1.9Limitations of the Study
- 1.10Organisation of the Study
- 1.11Operational Definition of Terms
Chapter TWO
LITERATURE REVIEW
- 2.1Conceptual Review: Antimicrobial Resistance in Bovine Mastitis
- 2.2Conceptual Review: Mastitis Pathogens in Smallholder Dairy Farms
- 2.3Conceptual Review: Antimicrobial Usage Practices in Southeast Asia Dairy Sector
- 2.4Theoretical Framework: One Health Approach and AMR Transmission Dynamics
- 2.5Theoretical Framework: Diffusion of Innovations in Antimicrobial Stewardship
- 2.6Empirical Review: Prevalence of Bovine Mastitis and AMR Patterns in Southeast Asia
- 2.7Empirical Review: Mechanisms of Resistance in Mastitis Pathogens
- 2.8Empirical Review: Farm Management Practices and AMR Risk
- 2.9Empirical Review: Farmer Knowledge, Attitudes and Practices (KAP) in Antimicrobial Use
- 2.10Empirical Review: Diagnostic and Laboratory Capacity for AMR Surveillance
- 2.11Identified Gaps in the Literature
- 2.12Conceptual Model: Integrated Framework for AMR in Bovine Mastitis on Smallholders
Chapter THREE
RESEARCH METHODOLOGY
- 3.1Research Design: Multisite Cross-Sectional Field Study
- 3.2Philosophical Paradigm: Pragmatism in Veterinary AMR Research
- 3.3Population of the Study: Smallholder Dairy Farms and Their Bovine Mastitis Cases
- 3.4Sample Size and Sampling Technique: Stratified Random Sampling Across Countries/regions
- 3.5Sources and Instruments of Data Collection: Clinical Sampling, Laboratory Testing, Farmer Surveys
- 3.6Validity and Reliability of Instruments: Pretesting, Calibration, and Inter-Observer Reliability
- 3.7Data Collection Procedures in the Field and Lab
- 3.8Laboratory Methods: Isolation, Identification, and Antimicrobial Susceptibility Testing (AST)
- 3.9Data Management and Quality Control
- 3.10Data Analysis Plan: Descriptive, Inferential, and Multivariate Analyses
- 3.11Model Specification: Logistic Regression and AMR Pattern Modeling
- 3.12Ethical Considerations: Approvals, Consent, and Animal Welfare
Chapter FOUR
DATA PRESENTATION AND ANALYSIS
- ANALYSIS AND DISCUSSION
- 4.1Data Presentation: Overview of Study Sites and Sampled Farms
- 4.2Descriptive Analysis: Prevalence of Mastitis and AMR Among Pathogens
- 4.3Descriptive Analysis: Antimicrobial Usage Patterns in Participating Farms
- 4.4Hypotheses Testing: Associations Between Farm Practices and AMR Prevalence
- 4.5Multivariate Analysis: Risk Factors for AMR in Mastitis Pathogens
- 4.6Interpretation of Results: AMR Profiles Across Regions
- 4.7Discussion of Findings in Relation to Literature
- 4.8Synthesis: Implications for AMR Control on Smallholder Farms
Chapter FIVE
SUMMARY, CONCLUSION AND RECOMMENDATIONS
- CONCLUSION AND RECOMMENDATIONS
- 5.1Summary of Findings
- 5.2Conclusions
- 5.3Contributions to Knowledge
- 5.4Recommendations for Policy, Practice and Surveillance
- 5.5Suggestions for Further Studies
Thesis Abstract
Bovine mastitis remains a critical constraint to dairy production in Southeast Asia, where widespread antimicrobial use and limited veterinary oversight contribute to the emergence and dissemination of antimicrobial-resistant pathogens on smallholder farms. This study aims to quantify the prevalence and patterns of antimicrobial resistance (AMR) among bacterial pathogens isolated from bovine mastitis cases, identify farm-level and management factors associated with AMR, and evaluate the potential impact of AMR on treatment outcomes. Specific objectives are (1) to determine the prevalence of bacterial isolates from milk samples of clinical and subclinical mastitis across 60 smallholder farms in three Southeast Asian countries; (2) to characterize antimicrobial susceptibility profiles for isolates against a panel of 14 antibiotics representing veterinary- and human-use classes using standard disk diffusion and minimum inhibitory concentration (MIC) methods in accordance with CLSI guidelines; (3) to identify risk factors for AMR at herd and management levels through structured farmer interviews and on-farm observations; (4) to assess associations between AMR patterns and treatment outcomes, including cure rates and recurrence, using multivariable regression analyses; (5) to develop a predictive model incorporating Phylogenetic groupings, farm practices, and antimicrobial usage patterns to forecast AMR risk; and (6) to contextualize findings within the One Health framework and propose evidence-based stewardship interventions. A mixed-methods approach will be employed. The quantitative component involves a cross-sectional survey of 600 milk samples collected from 60 smallholder herds, with sampling stratified by mastitis status (clinical vs. subclinical). Isolates will be identified to species level (Staphylococcus aureus, Streptococcus agalactiae, Escherichia coli, Klebsiella spp., and coagulase-negative staphylococci) using MALDI-TOF mass spectrometry and phenotypic confirmatory tests. Antimicrobial susceptibility will be assessed against antibiotics including penicillin, amoxicillin-clavulanate, cephalosporins, macrolides, tetracyclines, fluoroquinolones, sulfonamides, and/ or associated combinations. MIC determination will be conducted for isolates with inconclusive disk diffusion results. Data on antimicrobial usage, farm hygiene, housing system, milking practices, and veterinarian access will be gathered through structured questionnaires administered to farm owners/managers. Statistical analyses will include descriptive statistics, bivariate tests, and multilevel logistic regression to identify factors associated with AMR carriage, while generalized linear models will evaluate the relationship between AMR profiles and clinical outcomes. A multivariate analysis of variance (MANOVA) will compare susceptibility patterns across bacterial species and country contexts. The study will apply the Theory of Planned Behavior and the Health Belief Model to interpret farmers’ antibiotic use patterns and to identify leverage points for behavior change. Qualitative components will comprise semi-structured interviews with 40 veterinarians and farm workers to explore perceptions of AMR, antibiotic access, and stewardship barriers, followed by thematic analysis using a constant comparative method. The integration of quantitative and qualitative findings will be achieved through a convergent design, with triangulation to validate AMR risk factors and governance gaps. Expected findings include a higher prevalence of resistance to commonly used antibiotics such as penicillin and tetracyclines among S. aureus and E. coli isolates, with notable regional variation across the three countries. It is anticipated that AMR will be associated with inadequate veterinary oversight, non-prescription antibiotic access, poor mastitis management practices, and higher frequency of antibiotic usage without culture-guided therapy. The study will contribute to knowledge by delineating gene-level resistance indicators (if feasible within resources) and mapping AMR transmission risk within and between farms under smallholder conditions, thereby informing targeted stewardship interventions and policy recommendations. The main conclusion is that AMR in bovine mastitis pathogens on Southeast Asian smallholder farms is driven by a combination of antimicrobial access, farm management, and limited veterinary governance. Recommendations include promoting culture-based therapy, implementing farm-level antibiotic stewardship programs, improving record-keeping and surveillance for AMR, strengthening veterinarian engagement, and developing region-specific guidelines for prudent antimicrobial use in dairy cattle.
Thesis Overview
This research examines how bacteria that cause mastitis in cows on smallholder dairy farms in Southeast Asia respond to antimicrobial medicines. Mastitis is a common and costly udder infection that reduces milk yield and quality. Antimicrobial resistance (AMR) among mastitis pathogens threatens treatment effectiveness, animal welfare, and farmer livelihoods, and it may contribute to broader AMR spread through food chains and the environment. The study addresses a gap in region-specific data on which pathogens are present, which antibiotics they resist, and how farm practices influence resistance patterns.
What the research will do
- Context and problem framing: define the scope of bovine mastitis in smallholder systems within two Southeast Asian countries, identify typical treatment regimens, and map antibiotic usage patterns.
- Study design: conduct a cross-sectional field study across 12–15 smallholder farms per country, selecting cows with clinical and subclinical mastitis.
- Sample collection: collect milk samples from affected quarters, ensuring sterile techniques and proper cold chain logistics.
- Laboratory analyses: isolate bacterial pathogens from milk and determine antimicrobial susceptibility profiles using standardized disk diffusion and minimum inhibitory concentration (MIC) methods following CLSI guidelines. Identify species via MALDI-TOF or biochemical assays.
- Data on risk factors: gather farm-level data (tounderstanding of antibiotic usage, mastitis management, milking hygiene, and animal health status) through structured questionnaires and farm records.
- Data analysis: describe pathogen prevalence and resistance rates; use logistic regression to identify factors associated with resistant infections; apply multilevel models to account for farm-level clustering; report confidence intervals and p-values.
- Synthesis: compare resistance patterns with regional antibiotic stewardship guidelines and treatment practices.
Expected contributions
- A region-specific profile of bovine mastitis pathogens and their resistance patterns on smallholder farms.
- Evidence linking management practices and antibiotic use to AMR risk, informing targeted interventions.
- Practical recommendations for prudent antibiotic use, treatment guidelines, and policy development to curb AMR in dairy cattle.
Anticipated outcomes
- High prevalence of resistance to commonly used beta-lactams and tetracyclines among predominant pathogens.
- Identification of critical control points where improved hygiene, vaccination, or alternative therapies could reduce reliance on antimicrobials.
- A framework for ongoing AMR surveillance in smallholder dairy systems.