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

30,832 Articles (22,553 medRxiv, 8,279 bioRxiv)

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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
Exploring the global impact of the COVID-19 pandemic on medical education: an international cross-sectional study of medical learners
Brown, A., Kassam, A., Paget, M., Blades, K., Mercia, M., Kachra, R.
10.1101/2020.09.01.20186304 — Posted: 2020-09-03
Evaluation of attitude among infertile couples about continuing assisted reproductive technologies therapy during novel coronavirus outbreak
Peivandi, S., Razavi, A., Shafiei, S., Zamaniyan,, M., Orafaie, A., Jafarpour, H.
10.1101/2020.09.01.20186320 — Posted: 2020-09-03 Discussion: Offsite
App-based symptom tracking to optimize SARS-CoV-2 testing strategy using machine learning
DANTAS, L. F., PERES, I. T., BASTOS, L. S. L., MARCHESI, J. F., DE SOUZA, G. F. G., GELLI, J. G. M., BAIAO, F. A., MACAIRA, P., HAMACHER, S., BOZZA, F. A.
10.1101/2020.09.01.20186049 — Posted: 2020-09-03
SARS-CoV-2 Protein in Wastewater Mirrors COVID-19 Prevalence.
Neault, N., Baig, A. T., Graber, T. E., D'Aoust, P. M., Mercier, E., Alexandrov, I., Crosby, D., Mayne, J., Pounds, T., MacKenzie, M., Figeys, D., MacKenzie, A. E., Delatolla, R.
10.1101/2020.09.01.20185280 — 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).