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SUMMARY:Modelling optimal intervention strategies for animal diseases in d
 ata poor settings - Professor Mike Tildesley\,  Professor of Infectious Di
 sease Modelling\, University of Warwick
DTSTART:20240119T120000Z
DTEND:20240119T130000Z
UID:TALK209452@talks.cam.ac.uk
CONTACT:Fiona Roby
DESCRIPTION:Abstract:\nEmerging diseases of livestock can devastate the ag
 ricultural industry and have a severe impact upon livestock exports. It is
  therefore vital to provide tools to assess the risk associated with infec
 tious diseases and establish surveillance and intervention protocols that 
 will reduce the cost of such outbreaks in the future. In this presentation
 \, I will discuss the role of infectious disease models in supporting cont
 ingency planning for livestock disease outbreaks. These models typically r
 equire data on locations\, sizes and species compositions of farms\, as we
 ll as detailed information on any animals that are infected with the disea
 se. However\, in many settings such data are not available. I will therefo
 re demonstrate how models can support infectious disease control in settin
 gs where such detailed data are not accessible and how surveillance resour
 ces should be targeted to reduce model uncertainty and provide accurate pr
 edictions regarding the future spread of disease.\n\nBio:\nProf. Mike Tild
 esley is a Professor of Infectious Disease Modelling at the University of 
 Warwick. He has an interest in the predictive power of models in the early
  stages of emerging disease outbreaks and in communicating modelling resul
 ts to policy advisors. He has extensive experience of modelling livestock 
 disease systems\, including Foot-and-Mouth Disease (FMD) and Highly Pathog
 enic Avian Influenza (HPAI).  Prof. Tildesley has advised the UK Governmen
 t’s Department for the Environment\, Food and Rural Affairs\, the US Dep
 artment of Agriculture and the Food and Agriculture Organisation of the Un
 ited Nations about strategies for control of livestock diseases including 
 FMD and HPAI. From March 2020 to March 2022\, He was a member of the Scien
 tific Pandemic Influenza Modelling Operational group (SPI-M-O)\, and worke
 d extensively on COVID-19\, providing policy advice to the UK government.\
 n\n\n
LOCATION:LT2
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