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

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

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Pandemic related Health literacy - A Systematic Review of literature in COVID-19, SARS and MERS pandemics
Seng, J. J. B., Yeam, C. T., Huang, W. C., Tan, N. C., Low, L. L.
10.1101/2020.05.07.20094227 — Posted: 2020-05-11
Characteristics of 1,573 healthcare workers who underwent nasopharyngeal swab for SARS-CoV-2 in Milano, Lombardy, Italy
LOMBARDI, A., Consonni, D., Carugno, M., Bozzi, G., Mangioni, D., Muscatello, A., Castelli, V., Palomba, E., Cantu', A. P., Ceriotti, F., Tiso, B., Pesatori, A. C., Riboldi, L., Bandera, A., Gori, A.
10.1101/2020.05.07.20094276 — Posted: 2020-05-11
Clinical and behavioural characteristics of self-isolating healthcare workers during the COVID-19 pandemic: a single-centre observational study
de Wilton, A., Kilich, E., Chaudhry, Z., Bell, L. C., Gahir, J., Cadman, J., Lever, R. A., Logan, S.
10.1101/2020.05.07.20094177 — Posted: 2020-05-11
A Mathematical Model Approach for Prevention and Intervention Measures of the COVID-19 Pandemic in Uganda
Mbabazi, F. K., Yahaya, G., Awichi, R., Olupot, P. O., Rwahwire, S., Biira, S., Luboobi, L. S.
10.1101/2020.05.08.20095067 — Posted: 2020-05-11
Early Mandated Social Distancing is a Strong Predictor of Reduction in Highest Number of New COVID-19 cases per Day within Various Geographic Regions
Suri, M. F. K., Qureshi, A. I., Shu, H., Suri, H. K., Suri, A. K.
10.1101/2020.05.07.20094607 — Posted: 2020-05-11
Utility and limitations of Google searches on sensory loss as markers for new COVID-19 cases
Asseo, K., Fierro, F., Slavutsky, Y., Frasnelli, J., Niv, M. Y.
10.1101/2020.05.07.20093955 — Posted: 2020-05-11
COVID-19 diagnosis prediction by symptoms of tested individuals: a machine learning approach
Zoabi, Y., Shomron, N.
10.1101/2020.05.07.20093948 — Posted: 2020-05-11
Deep learning models for COVID-19 infected area segmentation in CT images
Voulodimos, A., Protopapadakis, E., Katsamenis, I., Doulamis, A., Doulamis, N.
10.1101/2020.05.08.20094664 — Posted: 2020-05-11
APOE E4 GENOTYPE PREDICTS SEVERE COVID-19 IN THE UK BIOBANK COMMUNITY COHORT
Kuo, C.-L., Pilling, L. C., Atkins, J. L., Masoli, J. A., Delgado, J., Kuchel, G. A., Melzer, D.
10.1101/2020.05.07.20094409 — Posted: 2020-05-11 Discussion: Onsite
Voices from the frontline: findings from a thematic analysis of a rapid online global survey of maternal and newborn health professionals facing the COVID-19 pandemic
Semaan, A. T., Audet, C., Huysmans, E., Afolabi, B. B., Assarag, B., Banke-Thomas, A., Blencowe, H., Caluwaerts, S., Campbell, O. M. R., Cavallaro, F. L., Chavane, L., Day, L. T., Delamou, A., Delvaux, T., Graham, W., Gon, G., Kascak, P., Matsui, M., Moxon, S. G., Nakimuli, A., Pembe, A. B., Radovich, E., van den Akker, T., Benova, L.
10.1101/2020.05.08.20093393 — Posted: 2020-05-11

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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).