Reposted by Kris ParagmedRxivpreprint @medrxivpreprint.bsky.social · 30/03/2026Epidemic indicators do not determine intervention performance www.medrxiv.org/content/10.64898/20… 001
Reposted by Kris ParagJayna Raghwani @jraghwani.bsky.social · 14/02/2026📢 Funded PhD opportunity (UK Home fees + stipend) With me (RVC), Matthew Hall (LSHTM), and @krisparag.bsky.social (Imperial College) Interested in bringing together field data and theory to understand how viruses persist in wildlife populations? Full details here: bit.ly/4bVTBl4bit.lyInvestigating the impact of heterogeneity in contact rates and lifespan on virus transmission and persistence in natural populations at Royal Veterinary College on FindAPhD.comPhD Project - Investigating the impact of heterogeneity in contact rates and lifespan on virus transmission and persistence in natural populations at Royal Veterinary College, listed on FindAPhD.com 013
Reposted by Kris ParagScott McGrath @smcgrath.phd · 10/09/2025A new algorithm optimizes epidemic control using noisy data by projecting scenarios to balance health risks and intervention costs. This reveals why slower diseases like Ebola are intrinsically more controllable than faster ones like SARS-CoV-2. #MedSky 🛟journals.plos.orgOptimal algorithms for controlling infectious diseases in real time using noisy infection dataAuthor summary In our work, we tackle the challenge of determining the best time to enforce or relax non-pharmaceutical interventions (NPIs), such as mandatory mask wearing, social distancing or… 031
