Dr Rosanna C Barnard (she/her)

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Dr Rosanna C Barnard (she/her)

Dr Rosanna C Barnard (she/her)

@BarnardResearch

Research Fellow in Infectious Disease Modelling @cmmid_lshtm @LSHTM, previously @SussexUni 👩🏻‍💻 Mathematics PhD 🎲 Views my own 🏳️‍🌈📷⛰🚲🥑🌺

Brighton & Hove Katılım Ağustos 2018
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Dr Rosanna C Barnard (she/her) retweetledi
Dr Emma Hodcroft
Dr Emma Hodcroft@firefoxx66·
What should we expect from #SARSCoV2 this autumn? I think it would be smart to prepare for both an increase in #COVID19 due to seasonal (behavioural) change & a new variant. As so many others have elegantly illustrated, new lineages of SC2 are sparking interest. 1/17
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Dr Rosanna C Barnard (she/her) retweetledi
CMMID
CMMID@cmmid_lshtm·
Join us for the 2022 @cmmid_lshtm Annual Lecture Dr Jessica Metcalf (@CJEMetcalf | @Princeton | @PrincetonEnviro) will address the topic "Landscapes of immunity: past & futures of infectious disease". 📅 18 October ⏲️ 16:00-17:30 BST 📍 Online 🔗 bit.ly/3D58lwz
CMMID tweet media
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Nature Portfolio
Nature Portfolio@NaturePortfolio·
A SARS-CoV-2 model of transmission dynamics in England shows the biggest factors influencing virus transmission are waning immunity, social behaviour and seasonality, @BarnardResearch writes in the Nature Portfolio Health Community. go.nature.com/3DBrF50
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Gwen Knight
Gwen Knight@gmknght·
💫NEW JOB💫 I’m hiring a data scientist to work on questions around the drivers of antibiotic resistance. You’d be joining the great @cmmid_lshtm and @LSHTM_AMR at LSHTM as part of my team working on AMR questions using a variety of microbiological, modelling & economic tools.
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London School of Hygiene & Tropical Medicine
London School of Hygiene & Tropical Medicine@LSHTM·
Want to learn more about how researchers analysed the fast-moving twists and turns of #COVID19? New blog by @BarnardResearch offers a glimpse behind the scenes of the work of our mathematical modellers to produce crucial evidence about the pandemic. 👇
CMMID@cmmid_lshtm

📣 ICYMI 🔍 @BarnardResearch's #NaturePortfolioCommunities Behind the Paper blog introduces her recent research (with @_nickdavies, @markjit & John Edmunds) on modelling the key factors influencing #COVID19 transmission. ➡️ bit.ly/3q30JTI @NatureComms

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Dr Rosanna C Barnard (she/her)
Dr Rosanna C Barnard (she/her)@BarnardResearch·
I know @chrischirp and others noted that predictive models like these are of limited use without capturing emerging variants (e.g. twitter.com/chrischirp/sta…), so it's nice to be able to show some of these limitations visually ⤴️
Prof. Christina Pagel - @chrischirp.bsky.social@chrischirp

With the rapid evolution of variants we've had this year, this unfortunately means that predictive infectious disease models are of limited use. What remains useful are insights of how big a role waning & behaviour can play. 3/3

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Dr Rosanna C Barnard (she/her)
Dr Rosanna C Barnard (she/her)@BarnardResearch·
The bonus content compares our model fit and central model projections for England (made in May 2022) to what happened in reality, using data up to August 2022 The model: 1⃣doesn't capture Omicron BA.5's increase from May 2⃣struggles to capture PCR prevalence, even for BA.2
Dr Rosanna C Barnard (she/her) tweet media
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Dr Rosanna C Barnard (she/her)
Dr Rosanna C Barnard (she/her)@BarnardResearch·
One other honorary mention: my colleague @seabbs makes an excellent point about how difficult it is/was to crowbar research done in response to COVID-19 (or any other outbreak, FWIW) into traditional academic outputs (& sadly that was 100% my experience) twitter.com/seabbs/status/…
Sam Abbott (@[email protected])@seabbs

Note in the thread how ludicrously hard crowbarring response work into academic publications was. We should maybe reflect on that both for how we assess ECRs now and how we evaluate outputs from future outbreaks.

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Keşfet

@_szhang @aaronclauset @cmmid_lshtm @CJEMetcalf @Princeton @PrincetonEnviro @LSHTM_AMR @_nickdavies