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. 2020 Jul 29;17(4):8-9.
doi: 10.1111/1740-9713.01415. eCollection 2020 Aug.

Science After Covid-19: Faster, Better, Stronger?

Affiliations

Science After Covid-19: Faster, Better, Stronger?

Simon Schwab et al. Signif (Oxf). .

Abstract

The novel coronavirus has dramatically affected our daily lives in the short term. But will the pandemic change research for the better over the longer term? By Simon Schwab and Leonhard Held.

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Figures

FIGURE 1
FIGURE 1
(a) Cumulative number of research papers indexed in PubMed since the first WHO statement regarding a novel infectious disease outbreak on 9 January 2020 (red line), with the 2003 SARS epidemic (blue line) for comparison. (b) Preprints indexed in Europe PMC over the same time period. Data and analysis available at osf.io/ma2x5.
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References

    1. Gordon, D. E., Jang, G. M., Bouhaddou, M. et al. (2020) A SARS-CoV-2-human protein-protein interaction map reveals drug targets and potential drug-repurposing. bioRxiv preprint. - PMC - PubMed
    1. Xu, B., Kraemer, M. U. G. and Open COVID-19 Data Curation Group (2020) Open access epidemiological data from the COVID-19 outbreak. Lancet Infectious Diseases, 20(5), 534. - PMC - PubMed
    1. Sim, I., Stebbins, M., Bierer, B. E.. et al. (2020) Time for NIH to lead on data sharing. Science, 367(6484), 1308–1309. - PubMed
    1. Johansson, M. A. and Saderi, D. (2020) Open peer-review platform for COVID-19 preprints. Nature, 579(7797), 29. - PubMed
    1. Wynants, L., Van Calster, B., Bonten, M. M. J.. et al. (2020) Prediction models for diagnosis and prognosis of Covid-19 infection: Systematic review and critical appraisal. British Medical Journal, 369, m1328. - PMC - PubMed

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