Use of social network analysis to improve the understanding of social behaviour in dairy cattle and its impact on disease transmission

Inès de Freslon, Beatriz Martinez Lopez, Jaber Belkhiria, Ana Strappini, Gustavo Monti

Research output: Contribution to journalArticle

Abstract

A better comprehension of cattle contact structure can enhance the prevention of the transmission of infectious agents within livestock farms. Social network analysis has proven to provide a more accurate picture of social structures than traditional methods. In this study, we focused on leptospirosis, a zoonosis of global importance caused by pathogenic strains of Leptospira spp. that can be transmitted directly between animals. We hypothesized that contact patterns between dairy cattle of the same group are influenced by individual cow attributes and structural properties of the social network. We worked with a milking cow group (n = 170) and two weaned calf groups of different ages (both n = 33) kept in pasture-based systems. We focused on three contact behaviours that may lead to transmission of pathogenic Leptospira spp.: sniffing, licking and rubbing the face on the genital area of another animal. The occurrence of these behaviours was directly observed and recorded for three weeks in lactating cows and four weeks in weaned calves. Based on those observations, we created social networks and used exponential random graph models to estimate the probability of contact between the animals based on individual covariates (cows: parity number, age, reproductive status, and entrance time into the group; calves: sex, age and entrance time) and structural effects. Despite most of the individuals in each group being either directly or indirectly connected, networks were extremely sparse. Most animals were involved in few contacts; however, some individuals had a very high degree of interaction (mainly cows in oestrus and male calves). Those highly connected individuals could play a key role during outbreaks. There was negative age heterophily (OR = 0.92, p < 0.001), meaning that cows interacted mainly with cows of the same age. Male calves were significantly more likely to start contacts than females (CALF1 group: OR = 3.79, p < 0.001; CALF2 group: OR = 7.71, p < 0.001). This study provides evidence that social interactions in dairy cattle are heterogeneous and highlights the importance of specific individual attributes in the formation of the contact structure of a group. Considering the contact structure within groups might facilitate the design of more efficient surveillance systems and mitigation strategies to prevent or reduce the transmission of infectious agents in dairy farms.

Original languageEnglish (US)
JournalApplied Animal Behaviour Science
DOIs
StatePublished - Jan 1 2019

Fingerprint

social networks
Social Behavior
disease transmission
social behavior
Social Support
dairy cattle
Group Structure
cows
Leptospira
calves
Leptospirosis
animals
Zoonoses
Estrus
Livestock
Interpersonal Relations
Parity
Disease Outbreaks
Age Groups
leptospirosis

Keywords

  • Contact network
  • Dairy cattle
  • Exponential random graph models
  • Leptospirosis
  • Sexual behaviour

ASJC Scopus subject areas

  • Food Animals
  • Animal Science and Zoology

Cite this

Use of social network analysis to improve the understanding of social behaviour in dairy cattle and its impact on disease transmission. / de Freslon, Inès; Martinez Lopez, Beatriz; Belkhiria, Jaber; Strappini, Ana; Monti, Gustavo.

In: Applied Animal Behaviour Science, 01.01.2019.

Research output: Contribution to journalArticle

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