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

31,234 Articles (22,733 medRxiv, 8,501 bioRxiv)

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The K18-hACE2 Transgenic Mouse Model Recapitulates Non-Severe and Severe COVID-19 in Response to Infectious Dose of SARS-CoV-2 Virus
Yu, J., Dong, W., Li, A., Zhang, J., Caligiuri, M., Jaramillo, S., Mead, H. L., Stone, N. E., Jones, A., Kollath, D. R., Coyne, V. K., Yearsley, M., Wang, L.-S., Barker, B. M., Keim, P., Barr, T.
10.1101/2021.05.08.443244 — Posted: 2021-05-09
An intranasal vaccine durably protects against SARS-CoV-2 variants in mice
Hassan, A. O., Shrihari, S., Gorman, M. J., Ying, B., Yuan, D., Raju, S., Chen, R. E., Dmitriev, I. P., Kashentseva, E., Adams, L. J., Shi, P.-Y., Fremont, D. H., Curiel, D. T., Alter, G., Diamond, M. S.
10.1101/2021.05.08.443267 — Posted: 2021-05-09
Expansion of tissue-resident CD8+ T cells and CD4+ Th17 cells in the nasal mucosa following mRNA COVID-19 vaccination
Ssemaganda, A., Nguyen, H. M., Nuhu, F., Jahan, N., Card, C. M., Kiazyk, S., Severini, G., Keynan, Y., Su, R.-C., Ji, H., Abrenica, B., McLaren, P. J., Ball, B., Bullard, J., Van Caeseele, P., Stein, D., McKinnon, L.
10.1101/2021.05.07.442971 — Posted: 2021-05-09
In-vivo Protection from SARS-CoV-2 infection by ATN-161 in k18-hACE2 transgenic mice
Narayanappa, A., Engler-Chiurazzi, E. B., Murray-Brown, I. C., Gressett, T. E., Biose, I. J., Chastain, W. H., Bix, G.
10.1101/2021.05.08.443275 — Posted: 2021-05-09 Discussion: Onsite
Vaccination boosts naturally enhanced neutralizing breadth to SARS-CoV-2 one year after infection
Wang, Z., Muecksch, F., Schaefer-Babajew, D., Finkin, S., Viant, C., Gaebler, C., Barnes, C. O., Cipolla, M., Ramos, V., Oliveira, T. Y., Cho, A., Schmidt, F., Silva, J. D., Bednarski, E., Daga, M., Turroja, M., Millard, K. G., Jankovic, M., Gazumyan, A., Bieniasz, P. D., Caskey, M., Hatziioannou, T., Nussenzweig, M. C.
10.1101/2021.05.07.443175 — Posted: 2021-05-09
SARS-CoV-2 B.1.617 emergence and sensitivity to vaccine-elicited antibodies
Ferreira, I., Datir, R., Papa, G., Kemp, S., Meng, B., Rakshit, P., Singh, S., Pandey, R., Ponnusamy, K., Radhakrishnan, V. S., INSACOG CONSORTIUM, , COG-UK CONSORTIUM, , Sato, K., James, L., Aggarwal, A., Gupta, R. K.
10.1101/2021.05.08.443253 — Posted: 2021-05-09 Discussion: Onsite
Cumulative incidence of SARS-CoV-2 infections among adults in Georgia, USA, August-December 2020
Chamberlain, A. T., Toomey, K. E., Bradley, H., Hall, E. W., Fahimi, M., Lopman, B. A., Luisi, N., Sanchez, T., Drenzek, C., Shioda, K., Siegler, A. J., Sullivan, P. S.
10.1101/2021.05.06.21256407 — Posted: 2021-05-09
A Prenylated dsRNA Sensor Protects Against Severe COVID-19 and is Absent in Horseshoe Bats
Wickenhagen, A., Sugrue, E., Lytras, S., Kuchi, S., Turnbull, M. L., Loney, C., Herder, V., Allan, J., Jarmson, I., Cameron-Ruiz, N., Varjak, M., Pinto, R. M., Stewart, D. G., Swingler, S., Noerenberg, M., Greenwood, E. J. D., Crozier, T. W. M., Gu, Q., Clohisey, S., Wang, B., Trindade Maranhao Costa, F., Freire Santana, M., Carlos de Lima Ferreira, L., ISARIC4C-Investigators, , Luiz Da Silva Filho, J., Marti, M., Stanton, R. J., Wang, E. C. Y., Castello-Palomares, A., Ho, A., Baillie, K., Jarrett, R. F., Robertson, D. L., Palmarini, M., Lehner, P. J., Rihn, S. J., Wilson, S. J.
10.1101/2021.05.05.21256681 — Posted: 2021-05-09 Discussion: Offsite
Immunophenotyping and machine learning identify distinct immunotypes that predict COVID-19 clinical severity
Mueller, Y. M., Schrama, T. J., Ruijten, R., Schreurs, M. W. J., Grashof, D. G. B., van de Werken, H. J. G., Alvarez de la Sierra, D., Kiernan, C. H., Castro Eiro, M. D., van Meurs, M., Brouwers-Haspels, I., Zhao, M., Li, L., de Wit, H., Ouzounis, C. A., Wilmsen, M. E. P., Alofs, T., Laport, D. A., van Wees, T., Kraker, G., Jaimes, M. C., Van Bockstael, S., Hernandez-Gonzalez, M., Rokx, C., Rijnders, B. J. A., Pujol-Borrell, R., Katsikis, P. D.
10.1101/2021.05.07.21256531 — Posted: 2021-05-09
A prospective diagnostic study to measure the accuracy of detection of SARS-CoV-2 Variants Of Concern (VOC) utilising a novel RT-PCR GENotyping algorithm in an In silico Evaluation (VOC-GENIE)
Borley, D., Trevor, R. A., Richter, A., Kidd, S., Cortes, N., Moore, N., Goring, A., Teltumbde, P., Templeton, K., Grippon, S., Oladimeji, P., Sanchez-Bretano, A., Dawson, A., Martin, J.
10.1101/2021.05.05.21256396 — Posted: 2021-05-09

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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).