The role of vehicle movement in swine disease dissemination: novel method accounting for pathogen stability and vehicle cleaning effectiveness uncertainties

TL;DR

This study analyzes how vehicle movements contribute to swine disease spread, incorporating pathogen decay and cleaning uncertainties, revealing dense contact networks and persistent risks despite cleaning efforts.

Contribution

Introduces a novel methodology to reconstruct vehicle contact networks considering pathogen stability and cleaning effectiveness, highlighting the persistent risk of disease transmission.

Findings

Vehicle networks are densely connected, with up to 86% of farms linked.

Feed and pig transport vehicles show highest network connectivity.

Cleaning effectiveness varies and does not fully eliminate transmission risk.

Abstract

The transmission dynamics of infectious diseases in animal production are driven by several propagation routes. Contaminated vehicles traveling between farms have been associated with indirect disease transmission. In this study, we used transportation vehicle data to analyze the magnitude of farm visits by different vehicles and to propose a methodology to reconstruct vehicle contact networks considering pathogen stability and cleaning and disinfection effectiveness. Here, we collected information from 6,363 farms and Global Positioning System (GPS) records from 567 vehicles used to transport feed, animals, and people. We reconstructed vehicle contacts among the farms, conserving pathogen stability decay and different probabilities of cleaning and disinfection. Results showed that vehicle movement networks were densely connected, with up to 86% of farms connected by these movements. Movements of vehicle transporting feed and pig among farms showed the highest network connectivity. The cleaning effectiveness of was variable among the different vehicle types and highly influenced by the frequency of vehicles stopping at clean stations. A large number of between-farm contacts with a pathogen stability >0.8 were present in the vehicle network even with 100% cleaning effectiveness. Finally, we identified that vehicles contacted farms from different companies. Thus, our results suggest the vehicle network is a potential mechanism for spreading pathogens among farms. Moreover, even with scenarios with high effectiveness of cleaning and disinfection, the risk of vehicles spreading diseases was not completely eliminated.