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DESCRIPTION:Interventions to prevent zoonotic spillover from bats: promises
  and pitfalls\n\nDaniel Streicker\, University of Glasgow\n	Tuesday Februar
 y 11\, 12-1pm\n	Zoom Link: https://mcgill.zoom.us/j/89914150820\n	In Person:
  550 Sherbrooke\, Room 189\n	\n	Abstract: The economic and health ramificati
 ons of the COVID-19 pandemic have catalyzed increasing interest in prevent
 ing the initial spillover of viruses from wildlife into humans and domesti
 c animals (‘primary spillover prevention’). Yet\, unforeseen behavioral or
  demographic responses of animals might cause interventions to backfire\, 
 increasing risk. This talk will explore how we can learn from past interve
 ntions and plan future alternatives using models derived from field and la
 boratory data. I will focus on the transmission of viruses in vampire bats
  in Latin America\, which are routinely culled as part of efforts to reduc
 e the burden of lethal rabies infections in humans and livestock. First us
 ing viral genome sequencing and phylodynamic analysis\, I will show how a 
 2-year bat cull in southern Peru altered the dynamics of rabies in bats an
 d spillover risk to livestock. Second\, using Bayesian state space models 
 jointly fit to serological and molecular data on bat-associated H18 influe
 nza virus\, I will test whether and how culls targeting rabies incidentall
 y altered the transmission of another potentially important virus. Finally
 \, by parameterizing an epidemiological model from longitudinal deep seque
 nce data\, I will explore whether a naturally occurring bat-associated her
 pesvirus could be exploited as a backbone for a self-disseminating vaccine
  targeting rabies in its bat reservoir. These studies highlight the risks 
 and benefits of primary spillover prevention and show the value of combini
 ng ecological\, epidemiological and genomic data with quantitative approac
 hes to empower data-driven zoonosis prevention.\n
DTSTART:20250211T170000Z
DTEND:20250211T180000Z
SUMMARY:QLS Seminar Series - Daniel Streicker
URL:/qls/channels/event/qls-seminar-series-daniel-stre
 icker-362930
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