James Hay
Research Fellow at the Pandemic Sciences Institute, University of Oxford. Using maths and stats to understand infectious disease dynamics, mostly viral kinetics and serology. hay-idd.github.io
- Reposted by James HayThe final piece of my PhD work is now published in Science Translational Medicine! We present a new framework to jointly infer epidemiological and antigenic parameters from multi-pathogen population serological studies🦠 www.science.org/stoken/autho...
- Great take. We looked at the data a few weeks ago and concluded that other than starting early, this year's dynamics are comparable to previous bad seasons. Our scenario models suggest a peak in infections (not hospitalisations which lag 1/2 weeks) in early/mid December. zenodo.org/records/1770...
- Reposted by James Hay🧵 Is it a super flu year? Who knows, but I think the current reporting is stupid. A pissed off thread using data. Firstly - here are today's headlines and some from the last 3 years... spot the difference. 1/10
- Reposted by James Hay[Not loaded yet]
- Reposted by James Hay[Not loaded yet]
- H3N2 preprint: there are concerns of a severe incoming influenza season due to the drifted H3N2 K clade. We at @psioxford.bsky.social analysed epi data and ran scenario models to see what we could discern about K clade transmission dynamics: zenodo.org/records/1770.... (1/18)
- We analysed public data sources (Resp DataMart, RGCP, WHO FluNet) from England to compare growth rates and reproduction numbers to previous seasons. So far, peak growth rates have been higher than the past 10 seasons, but Rt estimates are in line with the upper end of previous seasons. (2/18)
- Reposted by James Hay[Not loaded yet]
- Reposted by James HayNow out in @natcomms.nature.com Kudos to @tylim.bsky.social and @jameshay.bsky.social for a huge effort and thanks to all the collaborators for their hard work. See the final version here: www.nature.com/articles/s41...
- How do you track an ongoing epidemic, especially without large-scale testing? We explored the use of routinely collected RT-qPCR cycle threshold values in our new preprint out now! doi.org/10.1101/2024... 1/
- Reposted by James HayNew study shows that shifts in SARS‑CoV‑2 Ct value distributions can help nowcast epidemic trends, revealing both strong potential and key real‑world limitations for Ct‑based surveillance. From CCDD alumni TY Lim & @jameshay.bsky.social and faculty @yhgrad.bsky.social at bit.ly/4o37EaN
- Reposted by James Hay[Not loaded yet]
- Closing date tomorrow!
- We're hiring a modelling postdoc at PSI Oxford for two exciting projects: 1) modelling the early immune responses to Nipah vaccination, and 2) joining the PRESTO team working on immunobridging in vaccine evaluation studies. tinyurl.com/5abbxrjh Get in touch for more info! Deadline 4th August.
- We're hiring a modelling postdoc at PSI Oxford for two exciting projects: 1) modelling the early immune responses to Nipah vaccination, and 2) joining the PRESTO team working on immunobridging in vaccine evaluation studies. tinyurl.com/5abbxrjh Get in touch for more info! Deadline 4th August.
- Excited to share our paper on viral load dynamics of West Nile virus in mosquitoes! Key findings: 1. Variation in pooled Ct values from mosquito traps reflect underlying biological and epidemiological mechanisms. 2. WNV prevalence estimates are improved by using Cts rather than +ve/-ve pool status.
- Reposted by James Hay[Not loaded yet]
- Reposted by James HayTwo postdoc positions to work on virus epi & evolution in response to vaccination, with both theoretical models + data analysis. Paris/Montpellier. With Sylvain Gandon, Sébastien Lion, François Blanquart, Katrina Lythgoe, & Troy Day emploi.cnrs.fr/Offres/CDD/U... emploi.cnrs.fr/Offres/CDD/U...
- Hello influenza enthusiasts! You may be interested in our recent publication linked below. We used multi-strain serology to figure out who got infected with which A/H3N2 influenza strain and when, allowing us to reconstruct epidemiological patterns back to 1968 stratified by time, age and location.
- Are you interested in analysing serological data for infectious disease epidemiology? Check out our new review article on serodynamics! With Saki Takahashi at JHU and Isobel Routledge at UCSF. (See next comment if you're into serology modeling) www.sciencedirect.com/science/arti...
- New study tracking epidemic dynamics using cycle threshold values (a proxy for viral load) from routine hospital and community testing. This is the next step of our work from 2021 showing that the population distribution of Ct values over time is related to SARS-CoV-2 epidemic growth rates.
- How do you track an ongoing epidemic, especially without large-scale testing? We explored the use of routinely collected RT-qPCR cycle threshold values in our new preprint out now! doi.org/10.1101/2024... 1/
- Reposted by James Hay[Not loaded yet]
