Excited to share our new dengue research with a great international team. We introduce a framework that integrates different modelling disciplines to i) explain past spatiotemporal dynamics and drivers, and ii) forecast future trajectories, thereby providing diverse insights for decision-makers.

Rt measures how quickly a pathogen spreads and was central to understanding and controlling COVID-19. In our latest work, we extend this concept to vector-borne diseases, developing a new, renewal equation–based framework that links infection dynamics in humans and vectors. doi.org/10.1111/2041...

open.substack.com/pub/rorycell... This post about the importance of knowing the difference between truth tellers and myth makers in healthcare has already attracted a comment from a member of the “plandemic” community which nicely makes my point about the dangers of disinformation

🐔 Calling all backyard poultry keepers in England! We want to hear your thoughts on avian influenza control measures. If you have fewer than 50 birds, please share your experiences and suggestions for future strategies. Survey 🔗 tinyurl.com/e535naw4 #AvianInfluenza #AnimalHealth #OxfordStatistics

When an epidemic hits, how long does it take to get going with common epidemic analysis tasks? A couple of weeks ago, we asked representatives from over a dozen UK organisations and universities who work actively on epidemic analysis and modelling how long the below tasks would take them.... 1/

It was a pleasure to have helped in this exciting work on the potential for AI to transform our pandemic preparedness. Led by the excellent team of @mugkraemer.bsky.social and @sjbhatt.bsky.social

Our DPhil student @cathalmills.bsky.social presented on his framework estimating the reproduction number for vector borne diseases at the #dengue analytics meeting at the Pandemic Hub (pandemichub.who.int) last week. Looking forward for this community to grow. arxiv.org/abs/2409.18726