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

31,686 Articles (22,913 medRxiv, 8,773 bioRxiv)

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Pleotropic association between risk and prognosis of COVID-19 and gene expression in blood and lung: A Mendelian randomization analysis
Liu, D., Yang, J., Feng, B., Lu, W., Zhao, C., Li, L.
10.1101/2020.09.02.20187179 — Posted: 2020-09-03
Multiplexed Detection and Quantification of Human Antibody Response to COVID-19 Infection Using a Plasmon Enhanced Biosensor Platform
Cady, N. C., Tokranova, N., Minor, A., Nikvand, N., Strle, K., Lee, W. T., Guignon, E., Pilar, A., Gibson, G. N.
10.1101/2020.09.02.20187070 — Posted: 2020-09-03
Pooling saliva to increase SARS-CoV-2 testing capacity
Watkins, A. E., Fenichel, E. P., Weinberger, D. M., Vogels, C. B. F., Brackney, D. E., Casanovas-Massana, A., Campbell, M., Fournier, J., Bermejo, S., Datta, R., the Yale IMPACT Research Team, , Dela Cruz, C. S., Farhadian, S. F., Iwasaki, A., Ko, A. I., Grubaugh, N. D., Wyllie, A. L.
10.1101/2020.09.02.20183830 — Posted: 2020-09-03
PI3K/mTOR and topoisomerase inhibitors with potential activity against SARS-CoV-2 infection
White, J. R., Foote, M. B., Jee, J., Argiles, G., Wan, J. C. M., Diaz, L. A.
10.1101/2020.09.02.20186783 — Posted: 2020-09-03
Examination of Isolation Rate in SIQR model for COVID-19 Epidemic
Hashiguchi, K.
10.1101/2020.09.01.20185611 — Posted: 2020-09-03
Digital droplet PCR accurately quantifies SARS-CoV-2 viral load from crude lysate without nucleic acid purification
Vasudevan, H., Xu, P., Servellita, V., Miller, S., Liu, L., Gopez, A., Chiu, C. Y., Abate, A. R.
10.1101/2020.09.02.20186023 — Posted: 2020-09-03
24 People, one test: Boosting test efficiency using pooled serum antibody testing for SARS-CoV-2
Nessler, S., Franz, J., van der Meer, F., Kolotourou, K., Venkataramani, V., Hasan, C., Beatrix Pollok-Kopp, B., Zautner, A. E., Stadelmann, C., Weig, M., Poehlmann, S., Hoffmann, M., Riggert, J.
10.1101/2020.09.01.20186130 — Posted: 2020-09-03
The clinical course of COVID-19 in the outpatient setting: a prospective cohort study
Blair, P. W., Brown, D. M., Jang, M., Antar, A. A., Keruly, J. C., Bachu, V., Townsend, J. L., Tornheim, J. A., Keller, S. C., Sauer, L., Thomas, D. L., Manabe, Y. C., Ambulatory COVID Study Team
10.1101/2020.09.01.20184937 — Posted: 2020-09-03
A model assessing potential benefits of isolation and mass testing on COVID-19: the case of Nigeria
Chirove, F., Madubueze, C. E., Chazuka, Z., Madubueze, S. C.
10.1101/2020.09.01.20186288 — Posted: 2020-09-03
Real-time monitoring of COVID-19 dynamics using automated trend fitting and anomaly detection
Jombart, T., Ghozzi, S., Schumacher, D., Leclerc, Q., Jit, M., Flasche, S., Greaves, F., Ward, T., Eggo, R. M., Nightingale, E., Meakin, S., Brady, O. J., Centre for Mathematical Modelling of Infectious Diseases COVID-19 Working Group, , Medley, G., Hohle, M., Edmunds, J.
10.1101/2020.09.02.20186502 — Posted: 2020-09-03

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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).