• Publications
  • Influence
Who infects whom? Social networks and tuberculosis transmission in wild meerkats
  • J. Drewe
  • Biology, Medicine
  • Proceedings of the Royal Society B: Biological…
  • 22 February 2010
Transmission of infectious diseases is strongly influenced by who contacts whom. Despite the global distribution of tuberculosis (TB) in free-living wild mammal populations, little is known of theExpand
Performance of Proximity Loggers in Recording Intra- and Inter-Species Interactions: A Laboratory and Field-Based Validation Study
Knowledge of the way in which animals interact through social networks can help to address questions surrounding the ecological and evolutionary consequences of social organisation, and to understandExpand
Diagnostic Accuracy and Optimal Use of Three Tests for Tuberculosis in Live Badgers
Background Accurate diagnosis of tuberculosis (TB) due to infection with Mycobacterium bovis is notoriously difficult in live animals, yet important if we are to understand the epidemiology of TB andExpand
Proposed terms and concepts for describing and evaluating animal-health surveillance systems.
The information provided by animal-health surveillance helps to reduce the impact of animal diseases. Expand
Evaluation of animal and public health surveillance systems: a systematic review
SUMMARY Disease surveillance programmes ought to be evaluated regularly to ensure they provide valuable information in an efficient manner. Evaluation of human and animal health surveillanceExpand
Patterns of direct and indirect contact between cattle and badgers naturally infected with tuberculosis
SUMMARY Tuberculosis (TB) due to infection with Mycobacterium bovis is transmitted between cattle and badgers (Meles meles) in the UK and Ireland but it is unclear where or when transmission occurs.Expand
The social network structure of a wild meerkat population: 2. Intragroup interactions
Knowledge of the structure of networks of social interactions is important for understanding the evolution of cooperation, transmission of disease, and patterns of social learning, yet little isExpand
Spatial and temporal interactions between livestock and wildlife in South Central Spain assessed by camera traps.
The diversification of livestock farms into hunting estates in South Central Spain (SCS) may impede the success of Mycobacterium bovis eradication programmes by facilitating transmission betweenExpand
The social network structure of a wild meerkat population: 1. Inter-group interactions
Groups of individuals frequently interact with each other, but typically analysis of such interactions is restricted to isolated dyads. Social network analysis (SNA) provides a method of analysingExpand
Recent advances in the analysis of behavioural organization and interpretation as indicators of animal welfare
We present a simple example dataset of the behaviour of six chickens in a pen to demonstrate each of the mathematical techniques outlined (see boxes 1–4). Expand