It's a year since I first tweeted about an unusual pneumonia spreading in Wuhan, China. I lost my mother to Covid-19 on 27th December. My research on the disease, summarised in this thread, is dedicated to her.
https://twitter.com/trishgreenhalgh/status/1343510752691425281?s=20
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Thanks to the funders of my research: @wellcometrust, @esrc, @nihrresearch, @healthfdn, @scotgov, @The_MRC, and to collaborators formal and informal. Thanks also to my wonderful Twitter followers for your contributions and interest.
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That paper, led by @drnrjones with @DrZeshanQureshi and others not on Twitter, argued that we need to shift from “what is the effect size of intervention X and is it statistically significant?” to a complex system model in which multiple factors all contribute and interact.
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The @drnrjones paper included a #CovidRiskChart showing (in broad terms) the influence of crowding, ventilation, masking and activity (e.g. speaking) on transmission rates. Chart and many translations of it are in this thread.
https://twitter.com/trishgreenhalgh/status/1300086990709362693?s=20
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Masks work. Even imperfect masks worn by most people reduce transmission – and this gets *magnified* with each person not infected. Masks aren’t harmful but they do interfere with communication. With @CzypionkaThomas and others.
https://twitter.com/trishgreenhalgh/status/1343804157342453760?s=20
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Another of my PhD students, sports medicine physician @DrPaulDijkstra, @drnrjones and student Jonny Bowley worked with me on this paper summarising the evidence on masks and exercise.
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7494435/
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Masks are a controversial and emotive subject. I summarised my response to the counter-arguments (“masks don’t work and are harmful”) in this graphic.
https://twitter.com/trishgreenhalgh/status/1318078587455606784?s=20
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I also wrote a piece for @spectator on why the Danish randomised controlled trial of masks wasn’t good science.
https://twitter.com/trishgreenhalgh/status/1331186825038340097?s=20
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With colleagues from Oxford and Imperial (including @lusignan_s and @bcdelaney1), I did (and continue to do) research to develop a scale for assessing patients with acute Covid-19 remotely (by video or telephone).
https://twitter.com/trishgreenhalgh/status/1327150486320013314?s=20
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Currently still at preprint stage, we did a systematic review led by academic fellow Asli Kalin and with @javid_lab, @mjknight0380 and @mattinadakim on the different exertional desaturation tests being considered for Covid-19.
https://assets.researchsquare.com/files/rs-105883/v1/fae6ab19-d5bd-44ee-98df-7b62a2e3e48e.pdf
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I had a walk-on part in an important study by @lusignan_s and his team to sort out the nomenclature and coding of Covid-19 (building the ship while sailing it etc).
https://eprints.gla.ac.uk/220558/ 
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I worried that evidence-based medicine (EBM), so often a force for good, had become too tied up in its own methodological red tape to be able to deal with complexity and uncertainty in the pandemic.
https://journals.plos.org/plosmedicine/article?id=10.1371/journal.pmed.1003266
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In December 2020, I gave a lecture about the stormy relationship between scientists, the media and the public, called “Give me back my fact”. You can watch it here (from about 9 min for half an hour):
https://twitter.com/CfSocialScience/status/1337430965749166080?s=20

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In 2021 I'll be focusing on some ongoing and new research, especially the continuing impact of remote health services (and how to reduce inequalities as services go more digital), and validation of the RECAP score.

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