9,387 Matching Annotations
  1. Oct 2021
    1. Mlcochova, P., Kemp, S. A., Dhar, M. S., Papa, G., Meng, B., Ferreira, I. A. T. M., Datir, R., Collier, D. A., Albecka, A., Singh, S., Pandey, R., Brown, J., Zhou, J., Goonawardane, N., Mishra, S., Whittaker, C., Mellan, T., Marwal, R., Datta, M., … Gupta, R. K. (2021). SARS-CoV-2 B.1.617.2 Delta variant replication and immune evasion. Nature, 1–6. https://doi.org/10.1038/s41586-021-03944-y

    1. John Roberts on Twitter: “154k booster 💉reported today in 🏴󠁧󠁢󠁥󠁮󠁧󠁿, bringing the total to 1.58m, out of 4.56m. So that’s another 3m eligible for a jab as soon as they can be scheduled in. 1/ https://t.co/tw1JmrOiUo” / Twitter. (n.d.). Retrieved October 15, 2021, from https://twitter.com/john_actuary/status/1445785517774176262

    1. Magusali, N., Graham, A. C., Piers, T. M., Panichnantakul, P., Yaman, U., Shoai, M., Reynolds, R. H., Botia, J. A., Brookes, K. J., Guetta-Baranes, T., Bellou, E., Bayram, S., Sokolova, D., Ryten, M., Sala Frigerio, C., Escott-Price, V., Morgan, K., Pocock, J. M., Hardy, J., & Salih, D. A. (2021). A genetic link between risk for Alzheimer’s disease and severe COVID-19 outcomes via the OAS1 gene. Brain, awab337. https://doi.org/10.1093/brain/awab337

    1. Wickenhagen, A., Sugrue, E., Lytras, S., Kuchi, S., Noerenberg, M., Turnbull, M. L., Loney, C., Herder, V., Allan, J., Jarmson, I., Cameron-Ruiz, N., Varjak, M., Pinto, R. M., Lee, J. Y., Iselin, L., Palmalux, N., Stewart, D. G., Swingler, S., Greenwood, E. J. D., … Wilson, S. J. (n.d.). A prenylated dsRNA sensor protects against severe COVID-19. Science, 0(0), eabj3624. https://doi.org/10.1126/science.abj3624

    1. Liverpool, M. L. P., Clare Wilson, Jessica Hamzelou, Sam Wong, Graham Lawton, Adam Vaughan, Conrad Quilty-Harper, Jason Arunn Murugesu and Layal. (n.d.). Covid-19 news: Study finds vaccines prevent over 84% of severe cases. New Scientist. Retrieved October 12, 2021, from https://www.newscientist.com/article/2237475-covid-19-news-study-finds-vaccines-prevent-over-84-of-severe-cases/

    1. Dr Nisreen Alwan 🌻 on Twitter: “New @ONS #LongCovid estimates published today: 1.1 MILLION (1.7% of the whole UK population). Up from the summer estimate of 1.5%. 211,000 people with daily activities ‘limited a lot’. Greatest % in working age (35-69y). Rising prevalence in 17-24y. A tsunami of chronic illness.” / Twitter. (n.d.). Retrieved October 10, 2021, from https://twitter.com/Dr2NisreenAlwan/status/1446110337753829379

    1. Forbes, H., Morton, C. E., Bacon, S., McDonald, H. I., Minassian, C., Brown, J. P., Rentsch, C. T., Mathur, R., Schultze, A., DeVito, N. J., MacKenna, B., Hulme, W. J., Croker, R., Walker, A. J., Williamson, E. J., Bates, C., Mehrkar, A., Curtis, H. J., Evans, D., … Tomlinson, L. A. (2020). Association between living with children and outcomes from COVID-19: An OpenSAFELY cohort study of 12 million adults in England (p. 2020.11.01.20222315). https://doi.org/10.1101/2020.11.01.20222315

    1. Levin, E. G., Lustig, Y., Cohen, C., Fluss, R., Indenbaum, V., Amit, S., Doolman, R., Asraf, K., Mendelson, E., Ziv, A., Rubin, C., Freedman, L., Kreiss, Y., & Regev-Yochay, G. (2021). Waning Immune Humoral Response to BNT162b2 Covid-19 Vaccine over 6 Months. New England Journal of Medicine, 0(0), null. https://doi.org/10.1056/NEJMoa2114583

    1. Timothy Caulfield on Twitter: “Will you fall into the conspiracy theory rabbit hole? Https://t.co/8mLQqSBnqb by @databyler @codingyan Good breakdown on some of the social forces (like ideology) that drive conspiracy theories. Despite the fact I study topic, still amazed how many believe this stuff. Https://t.co/L1T0cpy9kB” / Twitter. (n.d.). Retrieved October 8, 2021, from https://twitter.com/CaulfieldTim/status/1445794723101175818

    1. Palmer, T., Wallace, L., Pollock, K. G., Cuschieri, K., Robertson, C., Kavanagh, K., & Cruickshank, M. (2019). Prevalence of cervical disease at age 20 after immunisation with bivalent HPV vaccine at age 12-13 in Scotland: Retrospective population study. BMJ, 365, l1161. https://doi.org/10.1136/bmj.l1161

    1. ReconfigBehSci. (2021, May 26). @Richard_Florida this is the Giesicke argument from Sweden- it makes sense only if you assume there will be no medical progress in the delay period. With vaccines and treatment improvements we know this to be empirically false. [Tweet]. @SciBeh. https://twitter.com/SciBeh/status/1397341753590489090

    1. Coronavirus Pandemic Data Explorer. (n.d.). Our World in Data. Retrieved March 3, 2021, from https://ourworldindata.org/coronavirus-data-explorer

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