Diagnostic Techniques and Epidemiological Methods for Parasites in Beekeeping: Considerations and Perspectives

Area of Science:

• Apiculture and Veterinary Entomology
• Parasitology
• Diagnostic Technologies

Background:

• Pest infestations are a major driver of Apis mellifera colony losses, exacerbated by viruses, pesticides, and climate change.
• Accurate diagnosis of parasites like Varroa destructor and Vairimorpha spp. is essential for effective management.
• Current diagnostic techniques vary in sensitivity, specificity, cost, and practicality, necessitating a structured approach to selection.

Purpose of the Study:

• To critically review and compare diagnostic techniques for key Apis mellifera parasites.
• To propose a decision-making framework for selecting appropriate diagnostic methods.
• To identify research gaps and priorities for integrated pest management strategies.

Main Methods:

• Systematic review of morphological, molecular, and automated diagnostic techniques.
• Evaluation of epidemiological methods for parasite detection.
• Development of a four-pillar decision-making framework (Objective, Resources, Context, Ethics).

Main Results:

• No single diagnostic method is universally optimal; selection must be context-dependent.
• Emerging technologies like AI and LAMP show limitations in field accuracy.
• Significant gaps exist in understanding multi-pathogen synergies and interactions with environmental factors.

Conclusions:

• A structured framework aids in selecting appropriate diagnostic tools for Apis mellifera parasites.
• Further research is needed on integrated diagnostics, predictive modeling, and sustainable pest control.
• A One Health approach is vital for addressing complex challenges in apiculture.