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

31,313 Articles (22,772 medRxiv, 8,541 bioRxiv)

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Virus evolution affected early COVID-19 spread
Corcoran, D., Urban, M. C., Wegrzyn, J., Merow, C.
10.1101/2020.09.29.20202416 — Posted: 2020-09-30
Global, regional, and national estimates of target population sizes for COVID-19 vaccination
Wang, W., Wu, Q., Yang, J., Dong, K., Chen, X., Bai, X., Chen, X., Chen, Z., Viboud, C., Ajelli, M., Yu, H.
10.1101/2020.09.29.20200469 — Posted: 2020-09-30
Hydroxychloroquine (HCQ) reverses anti-PD-1 immune murine checkpoint blockade: TCF1 as a marker in humans for COVID-19 and HCQ therapy
Kreuger, J., Santinon, F., Kazanova, A., Issa, M., Larrivee, B., Milhalcioiu, C., Rudd, C. E.
10.1101/2020.09.29.20193110 — Posted: 2020-09-30
Ultra-rapid detection of SARS-CoV-2 in public workspace environments
Yaren, O., McCarter, J., Phadke, N., Bradley, K. M., Overton, B., Yang, Z., Ranade, S., Patil, K., Bangale, R., BENNER, S. A.
10.1101/2020.09.29.20204131 — Posted: 2020-09-30
Dry loop mediated isothermal amplification assay for detection of SARS-CoV-2 from clinical specimens
Higashimoto, Y., Ihira, M., Kawamura, Y., Inaba, M., Shirato, K., Suzuki, T., Hasegawa, H., Kageyama, T., Doi, Y., Hata, T., Yoshikawa, T.
10.1101/2020.09.29.20204297 — Posted: 2020-09-30
An integrated clinical and genetic model for predicting risk of severe COVID-19
Dite, G. S., Murphy, N. M., Allman, R.
10.1101/2020.09.30.20204453 — Posted: 2020-09-30
Randomized Controlled Trials of Early Ambulatory Hydroxychloroquine in the Prevention of COVID-19 Infection, Hospitalization, and Death: Meta-Analysis
Ladapo, J. A., McKinnon, J. E., McCullough, P. A., Risch, H.
10.1101/2020.09.30.20204693 — Posted: 2020-09-30 Discussion: Onsite | Offsite
Passive Microwave Radiometry (MWR) for diagnostics of COVID-19 lung complications.
Osmonov, B., Ovchinnikov, L., Galazis, C., Emilov, B., Karaibragimov, M., Seitov, M., Vesnin, S., Kasymbekov, T., Mustafin, C., Goryanin, I.
10.1101/2020.09.29.20202598 — Posted: 2020-09-30
Time-series clustering for home dwell time during COVID-19: what can we learn from it?
Huang, X., Li, Z., Lu, J., Wang, S., Wei, H., Chen, B.
10.1101/2020.09.27.20202671 — Posted: 2020-09-30
Artificial intelligence to predict the risk of mortality from COVID-19: Insights from a Canadian Application
Snider, B., Phillips, P., MacLean, A., McBean, E. A., Gadsden, A., Yawney, J.
10.1101/2020.09.29.20201632 — Posted: 2020-09-30

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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).