Network analysis of cattle movements in Ecuador

Area of Science:

• Veterinary Epidemiology
• Network Analysis
• Disease Ecology

Background:

• Cattle movement networks are crucial for understanding disease transmission dynamics.
• Ecuador's agricultural landscape presents unique challenges for disease control.
• Differentiating disease spread based on pathogen characteristics is essential for targeted interventions.

Purpose of the Study:

• To construct and analyze cattle movement networks in Ecuador.
• To assess the potential spread of diseases with different transmission rates (e.g., foot and mouth disease vs. brucellosis).
• To inform disease prevention and control strategies in Ecuador.

Main Methods:

• Utilized cattle movement data from Ecuador for 2017-2018.
• Developed two distinct cattle networks: one for all movements and one for cow-specific movements.
• Employed network analysis, including component analysis and percolation analysis, at annual and monthly levels.

Main Results:

• Both network types exhibited low fragmentation, with large connected components (>90% of nodes).
• Percolation analysis indicated high resilience of the network to node removal.
• Network characteristics suggest rapid spread potential for highly transmissible diseases and clustered spread for slower diseases.

Conclusions:

• Ecuador's cattle network structure supports rapid dissemination of highly transmissible diseases.
• Slower-spreading diseases like brucellosis are likely to spread within localized clusters.
• Network analysis provides valuable insights for tailoring disease control measures to specific pathogens.