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Epidemiology and systems biology of farm animal diseases

Lead Research Organisation: THE PIRBRIGHT INSTITUTE
Department Name: UNLISTED

Abstract

Abstracts are not currently available in GtR for all funded research. This is normally because the abstract was not required at the time of proposal submission, but may be because it included sensitive information such as personal details.

Technical Summary

The work of the Mathematical Biology group (MBG) will focus on the epidemiology of farm animal diseases, with particular reference to bluetongue (BT) and foot-and-mouth disease (FMD). The MBG will also develop collaborations in systems biology and provide support on mathematical and statistical issues within the Institute. Epidemiology of vector-borne diseases: The MBG will continue to lead work on the development of models for the spread and control of BT virus, but will also seek to extend these studies to other relevant virus and vector systems, for example, African horse sickness or West Nile Fever. Furthermore, we will use these models to investigate how the risk to the UK of vector-borne disease may be influenced by environmental change. Epidemiology of FMD: The MBG will develop models for the transmission of FMD virus (FMDV) within farms, which will link the results of transmission experiments with data on the contact structures for different livestock species within holdings to better understand the epidemiology of FMDV at the farm scale. We will also develop models for FMDV to inform both transmission risk (e.g. via airborne spread) and the impact of control.
Systems biology: Opportunities for developing projects in systems biology will be explored. Initially, this will involve studies of the dynamics of FMDV in the bovine epithelium, but, in collaboration with the Bioinformatics group, we will actively seek to instigate collaborations with experimental scientists working in the Avian and Livestock Infectious Diseases programmes. Consultancy and training: The MBG will provide consultancy and training in mathematical modelling and statistics, including: an advisory service to other groups in the Institute to ensure that external modelling collaborations are appropriate; statistical support in the Institute through the provision of ad hoc advice on experimental design and analysis; and formal and informal training for PhD students and staff.

Planned Impact

unavailable

Publications

10 25 50

publication icon
Carr BV (2013) CD4+ T-cell responses to foot-and-mouth disease virus in vaccinated cattle. in The Journal of general virology

 
Description Foot-and-mouth disease (FMD): A key objective for the project was to develop methods that would allow us to scale from transmission experiments carried out in containment facilities to the dynamics of foot-and-mouth disease virus (FMDV) in cattle herds and sheep flocks (and, ultimately, to the regional level). To this end we developed a Bayesian framework to estimate transmission rates and latent, incubation and infectious periods using data from one-to-one challenge experiments. We also conducted observational studies on contacts between sheep. Results from these observational studies of physical contact were then incorporated into models for the transmission of infection within a flock.

Vector-borne diseases: We developed a novel statistical methodology for estimating the relationship between temperature and the extrinsic incubation period (EIP) and applied it to both published and novel data on virus replication for three internationally important orbiviruses (African horse sickness virus (AHSV), bluetongue virus (BTV) and epizootic haemorrhagic disease virus (EHDV)) in their Culicoides vectors.

Following on from earlier work on the risk of BTV in Great Britain (GB), we assessed the risk of African horse sickness (AHS) to GB using the basic reproduction number, R0. Estimates for each parameter which influences R0 were obtained from the published literature, using those applicable to the UK situation wherever possible. In addition, we accounted for the effects of temperature and seasonal variation in vector activity on R0.

Within-host biology: We are developed a simple model to explore potential factors influencing why infection of some epithelial tissues with FMDV results in the lesions while others do not. The models allow us to screen hypotheses which can then be tested experimentally. We have also developed a mathematical model of the hypothesised immune response to vaccination in cattle, and used it to gain insight into the incompletely understood effect of single and repeat inoculations of differing dosage using vaccine formulations of different structural stability.
Exploitation Route The epidemiological models developed in the project can be (and indeed are) used to inform policy makers and other stakeholders about potential disease control strategies. The improved parameter estimates help ensure the robustness of these models' predictions.
Sectors Agriculture

Food and Drink

 
Description The epidemiological models developed in the project can be (and indeed are) used to inform policy makers and other stakeholders about potential disease control strategies.
First Year Of Impact 2010
Sector Agriculture, Food and Drink
Impact Types Societal

Economic

 
Description Advice on control of scrapie
Geographic Reach National 
Policy Influence Type Participation in a guidance/advisory committee
Impact Membership of Defra TSE Research Advisory Group
 
Description EFSA working group on Schmallenberg virus
Geographic Reach Europe 
Policy Influence Type Participation in a guidance/advisory committee
Impact Report for the European Commission on Schmallenberg virus and its potential spread and impact in the European Union
URL http://dx.doi.org/10.2903/j.efsa.2012.2768
 
Description Lecture of dynamics of vector-borne diseases 
Form Of Engagement Activity A talk or presentation
Part Of Official Scheme? No
Geographic Reach Local
Primary Audience Undergraduate students
Results and Impact Two-hour lecture on the dynamics of vector-borne diseases as part of Part II Pathology: Dynamics of Infectious Diseases course at University of Cambridge
Year(s) Of Engagement Activity 2008,2009,2010,2011,2012,2013,2014,2015,2016,2017,2018,2019,2020,2021,2022
 
Description Statistics for Journalists 
Form Of Engagement Activity A talk or presentation
Part Of Official Scheme? Yes
Geographic Reach National
Primary Audience Professional Practitioners
Results and Impact Statistical training for journalists

Improved understanding of statistics in general and science in particular for trainee and established journalists
Year(s) Of Engagement Activity 2012,2013