Infection in dynamic social networks of a wild mammal
Lead Research Organisation:
UNIVERSITY OF EXETER
Department Name: Biosciences
Abstract
The ways in which humans transmit infections depend on the nature of the pathogen and how individuals contact one another. Some individuals, who are particularly well connected, might expect to receive and spread infection frequently, while others that are socially isolated might be expected to avoid general epidemics. In practice, human populations are usually divided into social cliques, around families, schools and workplaces, where interaction is more intense, set against a background of looser connections. Such variable patterns of interaction can be mapped into a social network, where the characteristics of individuals might relate to their risks of being infected and of being a source of infection.
Human social networks and their association with infection are quite well understood, particularly for childhood infections, such as measles, and sexually transmitted diseases, such as HIV. The same is not true of wild animals, where we still tend to think in population terms, of individuals being uniform and having simple social lives. Social networks of infection have been studied in a few wildlife species, including Tasmanian devils, meerkats and giraffes. In one or two cases, including our pilot studies of badgers, the network positions of individuals have been shown to relate to the presence of infection. However, it is hard to know which came first, the infection or the position? Did animals catch infection because they were leading risky lives, were stressed or had reduced immunity? Or were they putting their resources into reproduction instead of fighting infections and so enhancing their lifetime fitness? Did the infection itself affect their behaviour? Or did they occupy this position because they were infected, perhaps because they were ostracised by other members of their social group?
Given that many important infections of humans and livestock, such as influenza viruses, originate from wild animals, it would be useful to understand how to manage such emerging infections in wildlife. Badgers are a good example. Because they are a reservoir of bovine tuberculosis (TB), which can affect a range of mammals including cattle and humans, they are often culled in an attempt to control the disease. They are also hosts for rabies and U.K. rabies contingency plans currently provide for badgers to be culled to protect human health. The current pilot badger culls being conducted in England are a test of whether effective culling can be implemented by the farming industry, in the hope that this might control TB infection in cattle. Unexpectedly, it has been shown in earlier trials that culling badgers can also bring about increases in new cases of TB in badgers, and in cattle. This has been hypothesised to stem from a "perturbation effect", whereby culling upsets the otherwise stable social behaviour of badgers, causing them to roam, and transmit infection, more widely. Despite the prominence of the badger TB problem and widespread awareness of this "perturbation effect", we know surprisingly little about how infection is transmitted between badgers and how this is affected by culling. This project will look in detail at infection in wild animal networks, using badgers as an example, paying particular attention to social behaviour and individual condition, and working out what these mean for disease control.
We are proposing to use intensively monitored populations of wild badgers to study a range of "indicator" infections and how they relate to behaviour, stress, immune function, reproductive activity and success. Our work will give us an understanding of how infections spread, or do not spread, across real networks and will help improve understanding of the "perturbation effect". Then we will build a computer model of infections in our observed networks and use the model to test strategies to determine which is best for disease control, for badgers and TB, and for animal diseases more generally.
Human social networks and their association with infection are quite well understood, particularly for childhood infections, such as measles, and sexually transmitted diseases, such as HIV. The same is not true of wild animals, where we still tend to think in population terms, of individuals being uniform and having simple social lives. Social networks of infection have been studied in a few wildlife species, including Tasmanian devils, meerkats and giraffes. In one or two cases, including our pilot studies of badgers, the network positions of individuals have been shown to relate to the presence of infection. However, it is hard to know which came first, the infection or the position? Did animals catch infection because they were leading risky lives, were stressed or had reduced immunity? Or were they putting their resources into reproduction instead of fighting infections and so enhancing their lifetime fitness? Did the infection itself affect their behaviour? Or did they occupy this position because they were infected, perhaps because they were ostracised by other members of their social group?
Given that many important infections of humans and livestock, such as influenza viruses, originate from wild animals, it would be useful to understand how to manage such emerging infections in wildlife. Badgers are a good example. Because they are a reservoir of bovine tuberculosis (TB), which can affect a range of mammals including cattle and humans, they are often culled in an attempt to control the disease. They are also hosts for rabies and U.K. rabies contingency plans currently provide for badgers to be culled to protect human health. The current pilot badger culls being conducted in England are a test of whether effective culling can be implemented by the farming industry, in the hope that this might control TB infection in cattle. Unexpectedly, it has been shown in earlier trials that culling badgers can also bring about increases in new cases of TB in badgers, and in cattle. This has been hypothesised to stem from a "perturbation effect", whereby culling upsets the otherwise stable social behaviour of badgers, causing them to roam, and transmit infection, more widely. Despite the prominence of the badger TB problem and widespread awareness of this "perturbation effect", we know surprisingly little about how infection is transmitted between badgers and how this is affected by culling. This project will look in detail at infection in wild animal networks, using badgers as an example, paying particular attention to social behaviour and individual condition, and working out what these mean for disease control.
We are proposing to use intensively monitored populations of wild badgers to study a range of "indicator" infections and how they relate to behaviour, stress, immune function, reproductive activity and success. Our work will give us an understanding of how infections spread, or do not spread, across real networks and will help improve understanding of the "perturbation effect". Then we will build a computer model of infections in our observed networks and use the model to test strategies to determine which is best for disease control, for badgers and TB, and for animal diseases more generally.
Planned Impact
Bovine tuberculosis is probably the greatest challenge in animal health policy and practice in the U.K. and has a large and increasing economic and social impact. Because of the involvement of badgers, policy in this area has become fraught with difficulty and conflict among ardent stakeholder groups. It looks likely that the disease problem will continue to worsen, while conflict around badger management intensifies. Badger ecology, social behaviour and the "perturbation effect" have been shown to be critical, in both biological and policy terms, for transmission and control of TB.
More generally, a high proportion of emerging infections of humans are zoonotic in origin and so the control of infection in wildlife hosts is becoming more important to the protection of human and animal health. Therefore, while we expect this work to be of particular benefit to TB control, it will also make a significant and general contribution to wildlife disease control internationally.
Animal health officials in government departments and agencies.
Bovine TB costs British taxpayers ~£100M p.a. and resulted in the slaughter of ~37,000 cattle in GB in 2012. Control is a high priority for Ministers in Defra, Welsh Government and Northern Ireland Executive; Each of these administrations is adopting its distinct policy for disease control in cattle and wildlife. Defra is contemplating badger culling across large parts of western England. If generalised, proactive culling (as is being piloted) is not adopted, Defra ministers have identified more targeted culling, perhaps in combination with vaccination, as a potential policy option. Wales is focusing on vaccination, while in Northern Ireland, policy is focused on targeted removal or vaccination. The economic impact assessment that underpins Defra current policy, the licensing decisions made by Natural England and the statutory advice given by the Chief Veterinary Officer, all draw heavily on understanding of badger social behaviour, and perturbation in particular. Knowledge gained from this study will contribute to policy development on all these fronts because understanding of badger behaviour, perturbation and its outcomes is critical to all options for badger management.
Veterinarians, farmers, conservationists, animal welfare scientists.
Representative organisations, campaign groups and their publics.
Badger management is a topic of controversy and active social debate. Those who frame this debate frequently draw on their knowledge of badger social structure, perturbation, its effects and mitigation, but do so in a very broad and narrative way. The "perturbation effect" as a concept has achieved remarkably widespread public understanding, extending beyond academic work and permeating into popular media and public consciousness so that it underpins general knowledge of the badger-TB problem. To inform key actors in this debate, our project will help explain the importance of badger social behaviour, the perturbation effect, how it works and what its consequences are.
Disease control specialists internationally.
Globally, a high proportion of emerging infections arise from wildlife. Hence the control of the spread of infection in wild animal hosts is of key strategic relevance to protection of human and livestock health. Furthermore, infection has emerged as an important factor threatening conservation of biodiversity. Since counter-productive and counter-intuitive outcomes of wildlife control have been observed in relation to control of rabies in bats and foxes, spongiform encephalopathy in deer and swine fever in boar, amongst others, the consequences of culling for social systems and disease transmission in wildlife is likely to be manifest. By building on investigations of a well-studied system, this project will inform the direction of wildlife management for disease control more widely.
More generally, a high proportion of emerging infections of humans are zoonotic in origin and so the control of infection in wildlife hosts is becoming more important to the protection of human and animal health. Therefore, while we expect this work to be of particular benefit to TB control, it will also make a significant and general contribution to wildlife disease control internationally.
Animal health officials in government departments and agencies.
Bovine TB costs British taxpayers ~£100M p.a. and resulted in the slaughter of ~37,000 cattle in GB in 2012. Control is a high priority for Ministers in Defra, Welsh Government and Northern Ireland Executive; Each of these administrations is adopting its distinct policy for disease control in cattle and wildlife. Defra is contemplating badger culling across large parts of western England. If generalised, proactive culling (as is being piloted) is not adopted, Defra ministers have identified more targeted culling, perhaps in combination with vaccination, as a potential policy option. Wales is focusing on vaccination, while in Northern Ireland, policy is focused on targeted removal or vaccination. The economic impact assessment that underpins Defra current policy, the licensing decisions made by Natural England and the statutory advice given by the Chief Veterinary Officer, all draw heavily on understanding of badger social behaviour, and perturbation in particular. Knowledge gained from this study will contribute to policy development on all these fronts because understanding of badger behaviour, perturbation and its outcomes is critical to all options for badger management.
Veterinarians, farmers, conservationists, animal welfare scientists.
Representative organisations, campaign groups and their publics.
Badger management is a topic of controversy and active social debate. Those who frame this debate frequently draw on their knowledge of badger social structure, perturbation, its effects and mitigation, but do so in a very broad and narrative way. The "perturbation effect" as a concept has achieved remarkably widespread public understanding, extending beyond academic work and permeating into popular media and public consciousness so that it underpins general knowledge of the badger-TB problem. To inform key actors in this debate, our project will help explain the importance of badger social behaviour, the perturbation effect, how it works and what its consequences are.
Disease control specialists internationally.
Globally, a high proportion of emerging infections arise from wildlife. Hence the control of the spread of infection in wild animal hosts is of key strategic relevance to protection of human and livestock health. Furthermore, infection has emerged as an important factor threatening conservation of biodiversity. Since counter-productive and counter-intuitive outcomes of wildlife control have been observed in relation to control of rabies in bats and foxes, spongiform encephalopathy in deer and swine fever in boar, amongst others, the consequences of culling for social systems and disease transmission in wildlife is likely to be manifest. By building on investigations of a well-studied system, this project will inform the direction of wildlife management for disease control more widely.
Publications
Allen A
(2020)
Genetic evidence further elucidates the history and extent of badger introductions from Great Britain into Ireland.
in Royal Society open science
Benton CH
(2016)
Blood thicker than water: kinship, disease prevalence and group size drive divergent patterns of infection risk in a social mammal.
in Proceedings. Biological sciences
Benton CH
(2018)
Inbreeding intensifies sex- and age-dependent disease in a wild mammal.
in The Journal of animal ecology
Finn KR
(2019)
The use of multilayer network analysis in animal behaviour.
in Animal behaviour
Marjamäki PH
(2021)
Genetic, social and maternal contributions to Mycobacterium bovis infection status in European badgers (Meles meles).
in Journal of evolutionary biology
Marjamäki PH
(2019)
Individual variation and the source-sink group dynamics of extra-group paternity in a social mammal.
in Behavioral ecology : official journal of the International Society for Behavioral Ecology
McDonald JL
(2018)
Wildlife disease ecology from the individual to the population: Insights from a long-term study of a naturally infected European badger population.
in The Journal of animal ecology
McDonald JL
(2016)
Demographic buffering and compensatory recruitment promotes the persistence of disease in a wildlife population.
in Ecology letters
Description | This work has underlined the importance of social structure for the transmission and control of infectious diseases in wild animals. By analysing long term data, using modelling and conducting experiments, we have improved understanding of how social structure varies among individuals, types of animal and with time. We then used this information to understand how disease spreads and might be controlled. The work is of particular relevance to the UK because of the role of badgers in the maintenance and transmission of bovine tuberculosis (bTB) in cattle, which is a major economic, animal health and social problem in this country. Our work has contributed to fundamental understanding of the epidemiology of bTB in wildlife and extends to potential control measures for this important infection. |
Exploitation Route | Bovine tuberculosis is a major social, political and environmental challenge for the UK. This work contributes fundamental understanding of bTB epidemiology in the major wildlife host. The project has also led to a Knowledge Exchange Fellowship, supported by NERC, that supports and improves sharing of fundamental and applied science with user communities, specifically regional TB eradication groups. |
Sectors | Agriculture Food and Drink |
Description | Our research has supported regional TB eradication groups, including via a related Knowledge Exchange fellowship. |
First Year Of Impact | 2017 |
Sector | Agriculture, Food and Drink |
Impact Types | Societal Policy & public services |
Description | Support for regional TB eradication groups |
Geographic Reach | Local/Municipal/Regional |
Policy Influence Type | Membership of a guideline committee |
Impact | The Principal Investigator is a member and vice-chair of the Cornwall TB Eradication Group, which comprises farmers, vets, regulators and scientists, and serves to accelerate progress towards eradication of bTB from cattle in Cornwall and the wider UK. Regular contributions to this group focus on badger ecology, bTB epidemiology and draw on the findings of this project. |
URL | http://www.cornwalltbeg.co.uk |
Description | Efficient Bayesian modelling of infectious diseases in wildlife |
Amount | £321,242 (GBP) |
Funding ID | NE/V000616/1 |
Organisation | Natural Environment Research Council |
Sector | Public |
Country | United Kingdom |
Start | 04/2021 |
End | 08/2023 |
Description | Industrial Strategy CASE studentships via DTP |
Amount | £85,000 (GBP) |
Organisation | Natural Environment Research Council |
Sector | Public |
Country | United Kingdom |
Start | 08/2017 |
End | 03/2021 |
Description | Open Knowledge Exchange Fellowships |
Amount | £147,890 (GBP) |
Funding ID | NE/P006396/1 |
Organisation | Natural Environment Research Council |
Sector | Public |
Country | United Kingdom |
Start | 03/2017 |
End | 03/2020 |
Title | Geolocated proximity logging |
Description | We have developed a tag that records where contact events among wild animals take place. |
Type Of Material | Physiological assessment or outcome measure |
Provided To Others? | No |
Impact | This technique will allow us to describe spatial and temporal dynamics in animal social networks. |
Title | All microsatellite genotype and mitochondrial sequence data for British and Irish badgers from Genetic evidence further elucidates the history and extent of badger introductions from Great Britain into Ireland |
Description | Supplementary Data 1 |
Type Of Material | Database/Collection of data |
Year Produced | 2020 |
Provided To Others? | Yes |
URL | https://rs.figshare.com/articles/All_microsatellite_genotype_and_mitochondrial_sequence_data_for_Bri... |
Title | All microsatellite genotype and mitochondrial sequence data for British and Irish badgers from Genetic evidence further elucidates the history and extent of badger introductions from Great Britain into Ireland |
Description | Supplementary Data 1 |
Type Of Material | Database/Collection of data |
Year Produced | 2020 |
Provided To Others? | Yes |
URL | https://rs.figshare.com/articles/All_microsatellite_genotype_and_mitochondrial_sequence_data_for_Bri... |
Title | CMRNet |
Description | Long-term capture-mark-recapture data provide valuable information on the movements of individuals between locations, and the contemporary and/or co-located captures of individuals can be used to approximate the social structure of populations. We introduce an r package (CMRnet) that generates social and movement networks from spatially explicit capture-mark-recapture data. It also provides functions for network and datastream permutations for these networks. Here we describe the package and key considerations for its application, providing two example case studies. The conversion of spatially explicit mark-recapture data into social and movement networks will provide insights into the interplay between demography and behaviour in wild animal populations, with important applications in their management and conservation. |
Type Of Material | Data analysis technique |
Year Produced | 2020 |
Provided To Others? | Yes |
Impact | Ongoing |
URL | https://doi.org/10.1111/2041-210X.13502 |
Title | Data from: Inbreeding intensifies sex- and age-dependent disease in a wild mammal |
Description | 1. The mutation accumulation theory of senescence predicts that age-related deterioration of fitness can be exaggerated when inbreeding causes homozygosity for deleterious alleles. A vital component of fitness, in natural populations, is the incidence and progression of disease. 2. Evidence is growing for natural links between inbreeding and ageing; between inbreeding and disease; between sex and ageing; and between sex and disease. However, there is scant evidence, to date, for links among age, disease, inbreeding and sex in a single natural population. 3. Using ecological and epidemiological data from a long-term longitudinal field study, we show that in wild European badgers (Meles meles) exposed naturally to bovine tuberculosis (bTB), inbreeding (measured as multi-locus homozygosity) intensifies a positive correlation between age and evidence of progressed infection (measured as an antibody response to bTB), but only among females. Male badgers suffer a steeper relationship between age and progressed infection than females, with no influence of inbred status. We found no link between inbreeding and the incidence of progressed infection during early-life in either sex. 4. Our findings highlight an age-related increase in the impact of inbreeding on a fitness-relevant trait (disease state) among females. This relationship is consistent with the predictions of the mutation accumulation theory of senescence, but other mechanisms could also play a role. For example, late-life declines in condition, arising through mechanisms other than mutation accumulation might have increased the magnitude of inbreeding depression in late-life. 5. Whichever mechanism causes the observed patterns, we have shown that inbreeding can influence age-dependent patterns of disease and, by extension, is likely to affect the magnitude and timing of the late-life declines in components of fitness that characterise senescence. Better understanding of sex-specific links between inbreeding, disease and ageing provides insights into population-level pathogen dynamics and could influence management strategies for wildlife reservoirs of zoonotic disease. |
Type Of Material | Database/Collection of data |
Year Produced | 2019 |
Provided To Others? | Yes |
URL | https://datadryad.org/stash/dataset/doi:10.5061/dryad.sf34t61 |
Title | Data from: Individual variation and the source-sink group dynamics of extra-group paternity in a social mammal |
Description | Movement of individuals, or their genes, can influence eco-evolutionary processes in structured populations. We have limited understanding of the extent to which spatial behaviour varies among groups and individuals within populations. Here we use genetic pedigree reconstruction in a long-term study of European badgers (Meles meles) to characterise the extent of extra-group paternity, occurring as a consequence of breeding excursions, and to test hypothesised drivers of variation at multiple levels. We jointly estimate parentage and paternity distance (PD; distance between a cub's natal and its father's social group), and test whether population density and sex ratio influence mean annual PD. We also model cub-level PD and extra-group paternity (EGP) to test for variation among social groups and parental individuals. Mean PD varied among years but was not explained by population density or sex ratio. However, cub-level analysis shows strong effects of social group, and parental identities, with some parental individuals being consistently more likely to produce cubs with extra-group partners. Group effects were partially explained by local sex ratio. There was also a strong negative correlation between maternal and paternal social group effects on cub paternity distance, indicating source-sink dynamics. Our analyses of paternity distance and EGP indicate variation in extra-group mating at multiple levels - among years, social groups and individuals. The latter in particular is a phenomenon seldom documented and suggests that gene flow among groups may be disproportionately mediated by a non-random subset of adults, emphasising the importance of the individual in driving eco-evolutionary dynamics. |
Type Of Material | Database/Collection of data |
Year Produced | 2018 |
Provided To Others? | Yes |
URL | https://datadryad.org/stash/dataset/doi:10.5061/dryad.9n5m91v |
Title | Data from: Social structure contains epidemics and regulates individual roles in disease transmission in a group-living mammal |
Description | Population structure is critical to infectious disease transmission. As a result, theoretical and empirical contact networks models of infectious disease spread are increasingly providing valuable insights into wildlife epidemiology. Analysing an exceptionally detailed data set on contact structure within a high-density population of European badgers Meles meles, we show that a modular contact network produced by spatially structured stable social groups, lead to smaller epidemics, particularly for infections with intermediate transmissibility. The key advance is that we identify considerable variation among individuals in their role in disease spread, with these new insights made possible by the detail in the badger data set. Furthermore, the important impacts on epidemiology are found even though the modularity of the badger network is much lower than the threshold that previous work suggested was necessary. These findings reveal the importance of stable social group structure for disease dynamics with important management implications for socially-structured populations. |
Type Of Material | Database/Collection of data |
Year Produced | 2018 |
Provided To Others? | Yes |
URL | https://datadryad.org/stash/dataset/doi:10.5061/dryad.49n3878 |
Title | Genetic evidence further elucidates the history and extent of badger introductions from Great Britain into Ireland |
Description | The colonization of Ireland by mammals, has been the subject of extensive study using genetic methods, and forms a central problem in understanding the phylo-geography of European mammals after the Last Glacial Maximum. Ireland exhibits a de-pauperate mammal fauna relative to Great Britain and continental Europe, and a range of natural and anthropogenic processes have given rise to its modern fauna. Previous Europe-wide surveys of the European badger (Meles meles) have found conflicting microsatellite and mitochondrial DNA evidence in Irish populations, suggesting Irish badgers have arisen from a combination of populations with close relationships in Great Britain and in Scandinavia, and admixture between recently introduced and longer established populations. The extent and history of contact between British and Irish badger populations, however, remains unclear. We use comprehensive genetic data from Great Britain and Ireland to demonstrate that badgers in Ireland's northeastern and southeastern counties are genetically similar to contemporary British populations. Simulation analyses suggest this admixed population arose in Ireland 600-700 (CI 100-2600) years before present most likely through introduction of British badgers by people. These findings add to our knowledge of the complex colonization history of Ireland by mammals, and the central role of humans in facilitating it. |
Type Of Material | Database/Collection of data |
Year Produced | 2019 |
Provided To Others? | Yes |
URL | http://datadryad.org/stash/dataset/doi:10.5061/dryad.4xgxd2555 |
Title | Network data for analysis of wildlife disease (Bioscience) |
Description | Data underpinning methodological approaches detailed in Matthew J. Silk, Darren P. Croft, Richard J. Delahay, David J. Hodgson, Mike Boots, Nicola Weber, Robbie A. McDonald; Using Social Network Measures in Wildlife Disease Ecology, Epidemiology, and Management, BioScience, Volume 67, Issue 3, 1 March 2017, Pages 245-257, https://doi.org/10.1093/biosci/biw175 |
Type Of Material | Database/Collection of data |
Year Produced | 2017 |
Provided To Others? | Yes |
Impact | N/A |
URL | https://academic.oup.com/bioscience/article/67/3/245/2962460 |
Title | Network data for analysis of wildlife disease (Ecology Letters) |
Description | Data underpinning network analyses of transmission of infection in wild badgers. As published in Silk MJ, Weber NL, Steward LC, Hodgson DJ, Boots M, Croft DP, Delahay RJ, McDonald RA (2017) Data from: Contact networks structured by sex underpin sex-specific epidemiology of infection. Dryad Digital Repository. , |
Type Of Material | Database/Collection of data |
Year Produced | 2017 |
Provided To Others? | Yes |
Impact | N/A |
URL | https://doi.org/10.5061/dryad.s1502 |
Title | Network data for analysis of wildlife disease (Ecology and Evolution) |
Description | Data underpinning Silk MJ, Weber N, Steward LC, Delahay RJ, Croft DP, Hodgson DJ, Boots M, McDonald RA (2017) Seasonal variation in daily patterns of social contacts in the European badger Meles meles. Ecology and Evolution 7(21): 9006-9015. https://doi.org/10.1002/ece3.3402 |
Type Of Material | Database/Collection of data |
Year Produced | 2017 |
Provided To Others? | Yes |
Impact | N/A |
URL | https://doi.org/10.5061/dryad.jr0s5 |
Title | Network data for analysis of wildlife disease (Methods in Ecology and Evolution) |
Description | Data underpinning methodological approaches outlined in Silk, M. J., Croft, D. P., Delahay, R. J., Hodgson, D. J., Weber, N., Boots, M., McDonald, R. A. (2017), The application of statistical network models in disease research. Methods in Ecology and Evolution, 8: 1026-1041. doi: 10.1111/2041-210X.12770 |
Type Of Material | Database/Collection of data |
Year Produced | 2017 |
Provided To Others? | Yes |
Impact | N/A |
URL | http://onlinelibrary.wiley.com/wol1/doi/10.1111/2041-210X.12770/full |
Title | Supplementary Data from Elevated aggression is associated with uncertainty in a network of dog dominance interactions |
Description | Excel spreadsheet containing all the data files necessary for the analysis |
Type Of Material | Database/Collection of data |
Year Produced | 2019 |
Provided To Others? | Yes |
URL | https://rs.figshare.com/articles/Supplementary_Data_from_Elevated_aggression_is_associated_with_unce... |
Title | Supplementary Data from Elevated aggression is associated with uncertainty in a network of dog dominance interactions |
Description | Excel spreadsheet containing all the data files necessary for the analysis |
Type Of Material | Database/Collection of data |
Year Produced | 2019 |
Provided To Others? | Yes |
URL | https://rs.figshare.com/articles/Supplementary_Data_from_Elevated_aggression_is_associated_with_unce... |
Description | Wildlife Research Co-operative (University of Exeter and Animal and Plant Health Agency) |
Organisation | Animal Health And Veterinary Laboratories Agency (AHVLA) |
Country | United Kingdom |
Sector | Public |
PI Contribution | We work closely with the National Wildlife Research Centre of the Animal and Plant Health Agency (formerly AHVLA), including data sharing, combined fieldwork in the field, shared wildlife and scientific procedures licensing. We collaborate further across a range of RCUK studentships, including iCASE awards. We help develop policy relevant science outcomes for use in advice to officials and others. |
Collaborator Contribution | APHA share data, co-supervise students, deliver fieldwork in partnership, hold statutory licenses. |
Impact | We have jointly supervised >25 PGR students, published >40 papers since 2012, supported development of policy and practice across a range of topics, primarily related to control of bovine tuberculosis. |
Start Year | 2007 |
Description | Wildlife Research Co-operative (University of Exeter and Animal and Plant Health Agency) |
Organisation | Animal and Plant Health Agency |
Country | United Kingdom |
Sector | Public |
PI Contribution | We work closely with the National Wildlife Research Centre of the Animal and Plant Health Agency (formerly AHVLA), including data sharing, combined fieldwork in the field, shared wildlife and scientific procedures licensing. We collaborate further across a range of RCUK studentships, including iCASE awards. We help develop policy relevant science outcomes for use in advice to officials and others. |
Collaborator Contribution | APHA share data, co-supervise students, deliver fieldwork in partnership, hold statutory licenses. |
Impact | We have jointly supervised >25 PGR students, published >40 papers since 2012, supported development of policy and practice across a range of topics, primarily related to control of bovine tuberculosis. |
Start Year | 2007 |
Description | TB eradication group TB control meetings |
Form Of Engagement Activity | Participation in an activity, workshop or similar |
Part Of Official Scheme? | No |
Geographic Reach | Regional |
Primary Audience | Industry/Business |
Results and Impact | As part of the activities of the TB Eradication Groups, the PI has participated in local awareness-raising meetings for farmers and vets in relation to TB control. |
Year(s) Of Engagement Activity | 2017,2018,2019 |
URL | http://www.cornwalltbeg.co.uk |