130 Matching Annotations
  1. Mar 2022
  2. Feb 2022
    1. APPG on Coronavirus. (2022, January 18). 🗣Dr.Claire Steves continued: “Looking in the national core studies, from cohort studies across the UK we’ve looked at 10 different longitudinal studies. Our best estimates are that about 5% of middle aged people are experiencing long term.. 27/ #APPGCoronavirus #LongCovid [Tweet]. @AppgCoronavirus. https://twitter.com/AppgCoronavirus/status/1483453895061999618

    1. Su, Y., Yuan, D., Chen, D. G., Ng, R. H., Wang, K., Choi, J., Li, S., Hong, S., Zhang, R., Xie, J., Kornilov, S. A., Scherler, K., Pavlovitch-Bedzyk, A. J., Dong, S., Lausted, C., Lee, I., Fallen, S., Dai, C. L., Baloni, P., … Heath, J. R. (2022). Multiple Early Factors Anticipate Post-Acute COVID-19 Sequelae. Cell, 0(0). https://doi.org/10.1016/j.cell.2022.01.014

  3. Jan 2022
    1. Townsend, L., Dyer, A. H., Naughton, A., Kiersey, R., Holden, D., Gardiner, M., Dowds, J., O’Brien, K., Bannan, C., Nadarajan, P., Dunne, J., Martin-Loeches, I., Fallon, P. G., Bergin, C., O’Farrelly, C., Cheallaigh, C. N., Bourke, N. M., & Conlon, N. (2021). Longitudinal Analysis of COVID-19 Patients Shows Age-Associated T Cell Changes Independent of Ongoing Ill-Health. Frontiers in Immunology, 12. https://www.frontiersin.org/article/10.3389/fimmu.2021.676932

  4. Nov 2021
  5. Oct 2021
    1. Singanayagam, A., Hakki, S., Dunning, J., Madon, K. J., Crone, M. A., Koycheva, A., Derqui-Fernandez, N., Barnett, J. L., Whitfield, M. G., Varro, R., Charlett, A., Kundu, R., Fenn, J., Cutajar, J., Quinn, V., Conibear, E., Barclay, W., Freemont, P. S., Taylor, G. P., … Lackenby, A. (2021). Community transmission and viral load kinetics of the SARS-CoV-2 delta (B.1.617.2) variant in vaccinated and unvaccinated individuals in the UK: A prospective, longitudinal, cohort study. The Lancet Infectious Diseases, 0(0). https://doi.org/10.1016/S1473-3099(21)00648-4

    1. Pozzetto, B., Legros, V., Djebali, S., Barateau, V., Guibert, N., Villard, M., Peyrot, L., Allatif, O., Fassier, J.-B., Massardier-Pilonchéry, A., Brengel-Pesce, K., Yaugel-Novoa, M., Denolly, S., Boson, B., Bourlet, T., Bal, A., Valette, M., Andrieu, T., Lina, B., … Trouillet-Assant, S. (2021). Immunogenicity and efficacy of heterologous ChadOx1/BNT162b2 vaccination. Nature, 1–9. https://doi.org/10.1038/s41586-021-04120-y

    1. Vöhringer, H. S., Sanderson, T., Sinnott, M., De Maio, N., Nguyen, T., Goater, R., Schwach, F., Harrison, I., Hellewell, J., Ariani, C. V., Gonçalves, S., Jackson, D. K., Johnston, I., Jung, A. W., Saint, C., Sillitoe, J., Suciu, M., Goldman, N., Panovska-Griffiths, J., … Gerstung, M. (2021). Genomic reconstruction of the SARS-CoV-2 epidemic in England. Nature, 1–11. https://doi.org/10.1038/s41586-021-04069-y

  6. Jul 2021
  7. Jun 2021
  8. May 2021
  9. Apr 2021
  10. Mar 2021
  11. Feb 2021
  12. Jan 2021
  13. Dec 2020
  14. Nov 2020
  15. Oct 2020
  16. Sep 2020
    1. Leuker, C., Hertwig, R., Gumenik, K., Eggeling, L. M., Hechtlinger, S., Kozyreva, A., Samaan, L., & Fleischhut, N. (2020). Wie informiert sich die Bevölkerung in Deutschland rund um das Coronavirus? Umfrage zu vorherrschenden Themen und Gründen, dem Umgang mit Fehlinformationen, sowie der Risikowahrnehmung und dem Wissen der Bevölkerung rund um das Coronavirus (Version 5, p. 966670) [Application/pdf]. Max-Planck-Institut für Bildungsforschung. https://doi.org/10.17617/2.3247925

  17. Aug 2020
    1. Lozano, R., Fullman, N., Mumford, J. E., Knight, M., Barthelemy, C. M., Abbafati, C., Abbastabar, H., Abd-Allah, F., Abdollahi, M., Abedi, A., Abolhassani, H., Abosetugn, A. E., Abreu, L. G., Abrigo, M. R. M., Haimed, A. K. A., Abushouk, A. I., Adabi, M., Adebayo, O. M., Adekanmbi, V., … Murray, C. J. L. (2020). Measuring universal health coverage based on an index of effective coverage of health services in 204 countries and territories, 1990–2019: A systematic analysis for the Global Burden of Disease Study 2019. The Lancet, 0(0). https://doi.org/10.1016/S0140-6736(20)30750-9