COVID-19 SARS-CoV-2 preprints from medRxiv and bioRxiv

30,794 Articles (22,527 medRxiv, 8,267 bioRxiv)

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A Deep Dive into the SARS-Cov-2 Polymerase Assembly: Identifying Novel Allosteric Sites and Analyzing the Hydrogen Bond Networks and Correlated Dynamics
Barakat, K., Ahmed, M., Tabana, Y., Ha, M.
10.1101/2020.06.02.130849 — Posted: 2020-06-03
In silico design and characterization of multiepitopes vaccine for SARS-CoV from its Spike proteins
Kathwate, G. H.
10.1101/2020.06.03.131755 — Posted: 2020-06-03
Rapid detection of SARS-CoV-2 and other respiratory viruses by using LAMP method with Nanopore Flongle workflow
Li, J., Quan, W., Yan, S., Wu, S., Qin, J., Yang, T., Liang, F., Wang, D., Liang, Y.
10.1101/2020.06.03.131474 — Posted: 2020-06-03
Brief Communication: Magnetic Immuno-Detection of SARS-CoV-2 specific Antibodies
Pietschmann, J., Voepel, N., Spiegel, H., Krause, H.-J., Schroeper, F.
10.1101/2020.06.02.131102 — Posted: 2020-06-03
Dynamics and Prediction of the COVID-19 Epidemics in the US:a Compartmental Model with Deep Learning Enhancement
DENG, Q.
10.1101/2020.05.31.20118414 — Posted: 2020-06-03
Development and application of Pandemic Projection Measures (PPM) for forecasting the COVID-19 outbreak
Chang, S.-R.
10.1101/2020.05.30.20118158 — Posted: 2020-06-03
Evaluation of symptomatic patient saliva as a sample type for the Abbott ID NOW COVID-19 assay
SoRelle, J., Mahimmainathan, L., McCormick-Baw, C., Cavuoti, D., Lee, F., Bararia, A., Thomas, A., Sarode, R., Clark, A. E., Muthukumar, A.
10.1101/2020.06.01.20119198 — Posted: 2020-06-03
Sensitivity and specifity of prediction models based on gustatory disorders in diagnosing COVID-19 patients: a case-control study.
Adamczyk, K., Herman, M., Fraczek, J., Piec, R., Szykula-Piec, B., Zaczynski, A., Wojtowicz, R., Bojanowski, K., Rusyan, E., Krol, Z., Wierzba, W., Franek, E.
10.1101/2020.05.31.20118380 — Posted: 2020-06-03
Evaluating the adequacy of Prima Covid-19 IgG/IgM Rapid Test for the assessment of exposure to SARS-CoV-2 virus
Di Lorenzo, G., Toniolo, P., Lurani, C., Foresti, L., Carrisi, C.
10.1101/2020.05.30.20117424 — Posted: 2020-06-03
Uncertainty Quantification in Epidemiological Models for COVID-19 Pandemic
Taghizadeh, L., Karimi, A., Heitzinger, C.
10.1101/2020.05.30.20117754 — Posted: 2020-06-03

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* The Clinical Trials and Epidemiology subject categories are now closed to new submissions following the completion of bioRxiv's clinical research pilot project and launch of the dedicated health sciences server medRxiv (submit.medrxiv.org). New papers that report results of Clinical Trials must now be submitted to medRxiv. Most new Epidemiology papers also should be submitted to medRxiv, but if a paper contains no health-related information, authors may choose to submit it to another bioRxiv subject category (e.g., Genetics or Microbiology).