Pierre Nouvellet
@pnouvellet
quantitative epidemiology
ID: 1027897035343753216
10-08-2018 12:38:45
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Thérèse Coffey Thérèse Coffey is the Health Minister. Under her department's guidelines & the Medicines and Healthcare Products Regulatory Authority (MHRA) it's illegal to share prescription drugs. So the question must be why hasn't she resigned?
Delighted to announce that Jeremy Farrar will join World Health Organization (WHO) as our next Chief Scientist and Amelia Latu Afuhaamango Tuipulotu as our next Chief Nursing Officer. This is a critical time when investment in the health workforce & science is imperative to deliver #HealthForAll. Welcome!
After nearly 10 years as our Director, Jeremy Farrar will be stepping down in February to take up the position of Chief Scientist of World Health Organization (WHO). Paul Schreier, our COO, has been appointed interim CEO until a successor begins. A global search for a CEO began earlier this year. 1/3
Comment mieux modéliser la croissance des variants du SARS-CoV-2 permet de mieux les combattre theconversation.com/comment-mieux-… via The Conversation France
Our new work has just been published :) Pierre Nouvellet
With Christl Donnelly and Pierre Nouvellet, we investigated how SARS-COV-2 PCR testing behaviour had changed in England during the pandemic, in relation to transmission level, disease severity/susceptibility, public health measures, and risk perception. nature.com/articles/s4146…
NEW PUBLICATION The Lancet Infectious Diseases opinion piece on lessons from COVID-19 for rescalable data collection 👇 (🧵1/5) thelancet.com/journals/lanin…
My research with Pierre Nouvellet and Fiona Mathews has indicated that entanglement from plastic litter and netting is killing large numbers of hedgehogs each year in the UK. Read more about this research in the link. Sussex Uni News #hedgehog #conservation #plastic
Our new publication Royal Society Publishing A modelling pipeline from serological surveys to burden estimates for #Chagas disease Using serocatalytic and compartmental models and machine learning methods to reconstruct the history of transmission & diss burden doi.org/10.1098/rstb.2…