Impact of farm-level biosecurity on bovine respiratory disease incidence in dairy herds | Blazingprojects Postgraduate Thesis
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Impact of farm-level biosecurity on bovine respiratory disease incidence in dairy herds

 

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: Farm-Level Biosecurity and Bovine Respiratory Disease (BRD) in Dairy Herds
  • 2.2Conceptualization of Biosecurity Components Specific to Dairy Operations
  • 2.3Theoretical Framework: Diffusion of Innovations and Social Practices Theory in Biosecurity Adoption
  • 2.4Theoretical Framework: Health Belief Model in Farmers’ BRD Preventive Behaviors
  • 2.5Empirical Review: Farm-Level Biosecurity Interventions and BRD Incidence Worldwide
  • 2.6Empirical Review: Housing, Ventilation, and Air Quality Impacts on BRD Risk
  • 2.7Empirical Review: Management Practices, Network Contacts, and BRD Transmission
  • 2.8Empirical Review: Introductory Vaccination and Biosecurity Compliance Effectiveness
  • 2.9Empirical Review: Economic and Behavioral Barriers to Biosecurity Adoption
  • 2.10Empirical Review: Surveillance, Diagnostics, and Early BRD Detection in Dairy Farms
  • 2.11Identified Gaps in the Literature
  • 2.12Conceptual Model or Summary of the Review

Chapter THREE

RESEARCH METHODOLOGY

  • 3.1Research Design: Prospective Field Study Assessing Biosecurity Compliance and BRD Incidence
  • 3.2Philosophical Paradigm: Pragmatism in Mixed-Methods Field Research
  • 3.3Population of the Study: Dairy Farms with Varied Biosecurity Intensity
  • 3.4Sample Size and Sampling Technique: Stratified Random Sampling of Farms by Size and Management
  • 3.5Sources and Instruments of Data Collection: Farm Surveys, On-Site Observations, and Veterinary Records
  • 3.6Validity and Reliability of Instruments: Pre-Testing and Inter-Rater Reliability for Observational Checklists
  • 3.7Data Management Procedures: Data Cleaning and Handling of Missing Data
  • 3.8Data Analysis Methods: Multilevel Modelling and Logistic Regression for BRD Incidence
  • 3.9Model Specification or Analytical Framework: Hierarchical Linear Models Linking Biosecurity Inputs to BRD Outcomes
  • 3.10Ethical Considerations: Informed Consent, Animal Welfare, and Data Confidentiality

Chapter FOUR

DATA PRESENTATION AND ANALYSIS

  • ANALYSIS AND DISCUSSION OF FINDINGS
  • 4.1Data Presentation Overview: Structure and Dolders of Bi-Weekly Farm Visits
  • 4.2Descriptive Analysis: Farm Biosecurity Practices by Facility Type and Management Level
  • 4.3Descriptive Analysis: BRD Incidence Rates and Temporal Trends Across Farms
  • 4.4Hypotheses Testing: Association Between Specific Biosecurity Measures and BRD Incidence
  • 4.5Hypotheses Testing: Interaction Effects of Farm Size and Biosecurity Intensity on BRD Risk
  • 4.6Interpretation of Results: Practical Implications for Dairy Herd Health Management
  • 4.7Discussion of Findings in Relation to Conceptual Frameworks
  • 4.8Comparison with Prior Empirical Studies and Implications for Policy and Practice

Chapter FIVE

SUMMARY, CONCLUSION AND RECOMMENDATIONS

  • CONCLUSION AND RECOMMENDATIONS
  • 5.1Summary of Findings
  • 5.2Conclusion
  • 5.3Contribution to Knowledge: Advancing Farm Biosecurity and BRD Prevention Research
  • 5.4Practical Recommendations for Dairy Farmers and Vet Practitioners
  • 5.5Policy and Extension Implications
  • 5.6Suggestions for Further Studies

Thesis Abstract

Bovine respiratory disease (BRD) remains a leading cause of morbidity and economic loss in dairy operations, with farm-level biosecurity practices hypothesized to modulate BRD incidence by limiting pathogen introduction, transmission, and stress-related susceptibility. This study aims to quantify the association between farm-level biosecurity and BRD incidence in dairy herds, while identifying key biosecurity components that most strongly predict reduced BRD risk. The specific objectives are (i) to characterize the spectrum and implementation level of biosecurity measures across commercial dairy farms; (ii) to estimate BRD incidence and antibiotic treatment rates over a 12-month period and assess variation by biosecurity status; (iii) to evaluate associations between defined biosecurity practices and BRD outcomes using multilevel regression, controlling for herd size, management practices, vaccination status, and housing system; (iv) to explore stakeholders’ perceptions of biosecurity barriers and enablers through qualitative interviews, and (v) to develop evidence-based recommendations for prioritizing biosecurity investments. The study adopts a convergent mixed-methods design, integrating quantitative epidemiological data with qualitative insights. The population comprises dairy farms within three major dairy regions, with a target sample of 200 herds selected via stratified random sampling to represent parlor-focused, freestall, and pasture-based systems. Data collection involved (a) a structured farm survey assessing 40 biosecurity indicators across entry controls, animal movement, staff hygiene, visitor protocols, equipment sanitation, quarantine procedures, and disease surveillance; (b) veterinary records abstraction to determine monthly BRD incidence, clinic visits, and antibiotic usage; (c) on-farm observations to validate reported biosecurity practices; and (d) semi-structured interviews with farm managers and veterinary practitioners to capture perceived drivers and barriers. Validated instruments included a composite Biosecurity Implementation Score (BIS) and BRD case definitions aligned with national guidelines. Reliability was evaluated using Cronbach’s alpha for survey scales and inter-rater agreement for observational data. Analytical procedures encompass (i) descriptive statistics to summarize biosecurity practice prevalence and BRD incidence; (ii) multilevel Poisson regression to model BRD incidence rate as a function of BIS, with random effects for herd and region; (iii) logistic regression to examine odds of BRD outbreaks (defined by threshold incidence) relative to biosecurity strata; (iv) mediation analyses to assess whether vaccination status and housing type mediate the BIS–BRD relationship; and (v) thematic analysis of interview transcripts guided by grounded theory to identify contextual factors influencing biosecurity adoption. The theoretical framework integrates the Heterogeneity of BRD Risk and the Protection–Provider Model, drawing on epidemiological theory and health behavior constructs to interpret implementation gaps and adherence patterns. Expected findings anticipate a negative association between higher BIS and BRD incidence, with particular emphasis on strict quarantine and animal movement controls, dedicated staff hygiene protocols, and rigorous vehicle and equipment sanitation as the most impactful predictors. Variation is anticipated across housing systems, with freestall herds benefiting more markedly from cohesive staff adherence, while pasture-based systems may exhibit residual risk due to wildlife exposure and co-mingling during grazing. Qualitative results are expected to reveal that economic constraints, perceived breach consequences, and organizational culture strongly shape biosecurity uptake, mediating the quantitative associations. This study contributes to knowledge by providing robust, farm-level empirical evidence linking specific biosecurity components to BRD outcomes, refining risk stratification for targeted interventions, and informing policy and extension programs. It advances methodological integration of epidemiology and social-behavioral inquiry in dairy health management, offering actionable recommendations such as prioritized investment in quarantine facilities, standardized entry procedures, routine sanitation audits, and workforce training curricula. The anticipated conclusion emphasizes that comprehensive, consistently applied biosecurity programs substantially reduce BRD burden, but effectiveness depends on systemic support, farmer motivation, and feasible implementation tailored to herd structure. Recommendations include development of a scalable BIS toolkit, region-specific biosecurity guidelines, and incentives for routine evaluation of biosecurity practices within dairy operations.

Thesis Overview

This research investigates how farm-level biosecurity practices influence the occurrence of bovine respiratory disease (BRD) in dairy herds. BRD is a major health and economic problem in dairy production, driving treatment costs, production losses, and increased mortality. Despite its impact, the evidence linking specific biosecurity routines at the farm level to BRD incidence is fragmented, with gaps in understanding which practices reliably reduce disease risk in real-world settings. The study asks how variations in biosecurity measures—such as quarantine procedures for new stock, visitor control, equipment disinfection, and housing management—affect BRD incidence rates. It also seeks to identify which combinations of practices provide the most protection, and how farm characteristics (size, housing type, and management intensity) modify these effects. The research will produce practical guidance for farmers and veterinarians to prioritize cost-effective biosecurity investments. Step by step plan: - Select a representative sample of dairy farms across a defined region, ensuring variation in size and management styles. - Collect data on biosecurity practices using structured on-site surveys and audit checklists, complemented by farm records on BRD cases over the previous 12 months. - Gather contextual data on farm demographics, vaccination programs, vaccination timing, and environmental conditions. - Validate data through cross-checking farm records with veterinary treatment logs and diagnostic results where available. - Analyze data with descriptive statistics to summarize practices and BRD incidence, followed by multivariable regression to estimate associations between biosecurity scores and BRD incidence, adjusting for confounders. Interaction terms will explore how farm size and housing influence effects. - Conduct sensitivity analyses to assess robustness of findings. - Synthesize results to identify key protective practices and their practical implementation thresholds. Anticipated contribution: - Clarification of which farm-level biosecurity measures most strongly correlate with lower BRD incidence, and how these effects interact with farm context. - A practical framework or checklist for dairy farmers and veterinarians to benchmark and improve biosecurity. Expected outcome: - Evidence-based recommendations prioritizing high-impact biosecurity actions, informing extension programs and policy guidance to reduce BRD burden in dairy herds.

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