Caprine Arthritis Encephalitis Virus Disease Modelling Review

Area of Science:

• Veterinary Epidemiology
• Mathematical Biology
• Animal Health Economics

Background:

• Mathematical modeling is crucial for understanding disease economics and spread dynamics.
• Caprine Arthritis Encephalitis (CAE) is an incurable disease where modeling insights are highly valuable.
• Existing literature shows limited application of modeling techniques specifically to CAE studies.

Purpose of the Study:

• To review published studies on mathematical and statistical modeling of CAE.
• To highlight the scope, strengths, and limitations of current CAE modeling approaches.
• To propose future modeling strategies for studying CAE disease dynamics.

Main Methods:

• Systematic review of published literature on CAE modeling.
• Categorization of studies into mathematical epidemiological modeling and statistical modeling.
• Analysis of epidemiological models based on the inclusion of sexual transmission components.
• Examination of statistical models concerning dairy production, risk factors, and disease interactions.

Main Results:

• Epidemiological models for CAE were categorized into those with and without sexual transmission.
• Statistical modeling studies varied in assumptions and objectives, including dairy production and risk factor analysis.
• Some studies explored the hypothesis of CAE as a risk factor for other diseases.
• A significant gap exists in the comprehensive application of modeling to CAE.

Conclusions:

• Further research is needed to fully leverage mathematical and statistical modeling for CAE.
• Future studies should explore advanced modeling techniques to address gaps identified in the review.
• Enhanced modeling approaches can improve understanding and management strategies for Caprine Arthritis Encephalitis.