- Medicine - 08:00 UofG scientists set to lead new era in pancreatic cancer treatment
- Life Sciences - 07:00 Major breakthrough in the manufacture of red blood cells
- Careers - Mar 23 Oxford University leaders negotiate innovation community research partnerships in China
- Medicine - Mar 23 Flower petal inspired menstrual pads crowned Althea 2017 winner
- Medicine - Mar 23 King's launches new artists in residence programme
- Medicine - Mar 22 Moderate drinking linked to lower risk of some - but not all - heart conditions
- Life Sciences - Mar 22 Art and science mix in the lab
- Medicine - Mar 22 Lancaster appoints international expert as new Chair in Digital Health
- Life Sciences - Mar 22 PhD competition winner plans to promote diversity
- Life Sciences - Mar 22 Sir David Attenborough immortalised, in lobster- like fossil find
- Medicine - Mar 21 Stem cell therapy could help mend the youngest of broken hearts
- Medicine - Mar 21 Dr Nic Timpson appointed to ALSPAC Principal Investigator
Foot-and-mouth crises to be averted with vaccination strategy
- Foot-and-mouth epidemics could be controlled quickly and effectively by rapidly establishing how many animals can be vaccinated per day of an outbreak.
- University of Warwick researchers simulated future UK outbreaks with a mathematical model – calculated most successful approach to stopping spread of infection
- Strategies using model could save up to £50 million and around 200,000 animals could be spared from culling – and disease eradicated a week sooner than previous outbreaks
Future outbreaks of foot-and-mouth disease (FMD) can be controlled effectively and quickly with vaccinations – saving millions of pounds and hundreds of thousands of livestock – according to research by the University of Warwick.
Dr Michael Tildesley and Naomi Bradbury in the School of Life Sciences have discovered that a key issue for successfully containing and eradicating a FMD outbreak is to establish how many animals can be vaccinated per day, and tailor controls accordingly.
Using a mathematical model of the UK farming landscape, Dr Tildesley and colleagues simulated numerous scenarios of infection – to varying levels of severity and speed - calculating the most effective and efficient approaches to stave the spread of disease.
Many dangerous uncertainties exist when dealing with epidemics like FMD, such as: the efficacy of vaccinations, the time it takes for livestock to become immune after receiving vaccines, and the number of vaccine doses available. Uncertainty leads to huge potential losses of both money and livestock.
The Warwick FMD model demonstrates that the major uncertainty to be resolved is how many vaccine doses are available. If this is known, the infection can be contained efficiently – even when faced with all other unknown factors.
The 2001 FMD outbreak cost the UK economy an estimated £8 billion and led to the culling of approximately seven million livestock.
Using the Warwick FMD model and confirming what vaccination capacity exists, the UK could save up to £50 million, and around 200,000 animals could be spared from culling in any future epidemic.
Furthermore, any outbreak using such tailored vaccination can generally be eradicated almost a week sooner than previous outbreaks.
Dr Michael Tildesley comments:
“There is always uncertainty in the likely effectiveness of any control strategy for an infectious disease outbreak. However in the case of FMD, if we can accurately determine the daily capacity to vaccinate animals, we can potentially save millions of pounds for the farming industry.”
The paper, ‘Quantifying the Value of Perfect Information in Emergency Vaccination Campaigns’ is published in PLOS Computational Biology.
The research was carried out in collaboration with Pennsylvania State University, Vanberbilt University and the United States Geological Survey is funded by the Biotechnology and Biological Sciences Research Council (BBSRC) and the US National Institutes of Health (NIH).
Last job offers
- Life Sciences - 17.2
Research Associate, Synthetic Biology
- Life Sciences - 22.3
Professorship of Cell Biology
- Life Sciences - 17.3
Associate Professorship of Biochemistry
- Medicine/Pharmacology - 15.3
Professorship of Oncological Imaging
- Medicine/Pharmacology - 14.3
Assistant Professor in Reproductive Biology
- Medicine/Pharmacology - 10.3
Chair of Nursing- 56793
- Life Sciences - 9.3
Chair / Associate Professor in Structural Biology
- Social Sciences - 9.3
Lecturer / Associate Professor in Social Work