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

31,082 Articles (22,658 medRxiv, 8,424 bioRxiv)

Most recent first Previous |  Page 162: Articles 1611-1620  | Next

Eosinophils protect against SARS-CoV-2 following a vaccine breakthrough infection
Moore, K. M., Foster, S. L., Elrod, E. J., Floyd, K. A., Williams, M. E., Kar, M., Vander Velden, J., Ellis, M., Malik, A., Wali, B., Lapp, S., Metz, A., Bosinger, S. E., Seder, R. A., Amara, R. R., Menachery, V. D., Kohlmeier, J. E., Grakoui, A., Suthar, M. S.
10.1101/2024.08.08.607190 — Posted: 2024-08-10
Enhancing SARS-CoV-2 Lineage surveillance through the integration of a simple and direct qPCR-based protocol adaptation with established machine learning algorithms
Aksenen, C. F., Ferreira, D. M. A., Jeronimo, P. M. C., Costa, T. d. O., de Souza, T. C., Lino, B. M. N. S., de Farias, A. A., Miyajima, F.
10.1101/2024.08.09.24310239 — Posted: 2024-08-10
Impacts on labour force and healthcare services related to mental-health issues following an acute SARS-CoV-2 infection: rapid review
Bialy, L., Pillay, J., Saba, S., Guitard, S., Rahman, S., Tan, M., Hartling, L.
10.1101/2024.08.09.24311746 — Posted: 2024-08-10
The Mac1 ADP-ribosylhydrolase is a Therapeutic Target for SARS-CoV-2
Suryawanshi, R. K., Jaishankar, P., Correy, G. J., Rachman, M. M., O'Leary, P. C., Taha, T. Y., Zapatero-Belinchon, F. J., McCavitt-Malvido, M., Doruk, Y. U., Stevens, M. G. V., Diolati, M. E., Jogalekar, M. P., Richards, A. L., Montano, M., Rosecrans, J., Matthay, M., Togo, T., Gonciarz, R. L., Gopalkrishnan, S., Neitz, R. J., Krogan, N. J., Swaney, D. L., Shoichet, B. K., Ott, M., Renslo, A. R., Ashworth, A., Fraser, J. S.
10.1101/2024.08.08.606661 — Posted: 2024-08-09
SARS-COV-2 nucleocapsid protein hijacks multiple components of the host nuclear transport machinery for distinct functions
Harrison, A. R., Wang, S. Z., Wagstaff, K. M.
10.1101/2024.08.09.607288 — Posted: 2024-08-09
Extraction-free colorimetric RT-LAMP for SARS-CoV-2 RNA detection from saliva
Yang, Y., Liu, X., Tie, S., Li, X., Yang, X., Cao, J.
10.1101/2024.08.09.607279 — Posted: 2024-08-09
LGM: Novel large empirical study of deep transfer learning for COVID-19 classification based on CT and X-ray images
Almutaani, M., Turki, T., Taguchi, Y.-h.
10.1101/2024.08.08.24311683 — Posted: 2024-08-09
Initial antigen encounter determines robust T-cell immunity against SARS-CoV-2 BA.2.86 variant three years later
Rubio, R., Yavlinsky, A., Escalera Zamudio, M., Molinos-Albert, L. M., Martin Perez, C., Pradenas, E., Canyelles, M., Torres, C., Tan, C., Swadling, L., Ramirez-Morros, A., Trinite, B., Vidal-Alaball, J., Aguilar, R., Ruiz-Comellas, A., Blanco, J., van Dorp, L., Balloux, F., Dobano, C., Moncunill, G.
10.1101/2024.08.09.24311705 — Posted: 2024-08-09
Combining short and long read sequencing technologies to identify SARS-CoV-2 variants in wastewater
Jayme, G., Liu, J.-L., Galvez, J. H., Reiling, S. J., Aydin, S. C., N'Guessan, A., Lee, S., Chen, S.-H., Tsitouras, A., Sanchez-Quete, F., Maere, T., Goitom, E., Hachad, M., Mercier, E., Loeb, S. K., Vanrolleghem, P., Dorner, S., Delatolla, R., Shapiro, B. J., Frigon, D., Ragoussis, J., Snutch, T. P.
10.1101/2024.08.07.24311639 — Posted: 2024-08-08
Effectiveness of digital health interventions against COVID-19 misinformation: a systematic realist review of intervention trials
Dickinson, R., Makowski, D., van Marwijk, H., Ford, E.
10.1101/2024.08.07.24311635 — Posted: 2024-08-08

RSS  Collection RSS | JSON

The feeds linked above output metadata for the 100 most recent papers in the collection.To access the metadata for the entire collection in JSON or XML, visit the collection API.

Subject Areas
* 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).