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

31,187 Articles (22,713 medRxiv, 8,474 bioRxiv)

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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
Observer agreement and clinical significance of chest CT reporting in patients suspected of COVID-19
Debray, M.-P., Tarabay, H., Males, L., Chalhoub, N., Mahdjoub, E., Pavlovsky, T., Visseaux, B., Bouzid, D., Borie, R., Wackenheim, C., Crestani, B., Rioux, C., Saker, L., Choquet, C., Mullaert, J., Khalil, A.
10.1101/2020.05.07.20094102 — Posted: 2020-05-11
YouTube as an information source during the Coronavirus disease (COVID-19) pandemic
Atac, O., Ozalp, Y., Kurnaz, R., Guler, O. M., Inamlik, M., Hayran, O.
10.1101/2020.05.06.20093468 — Posted: 2020-05-11
Chloroquine and hydroxychloroquine effectiveness in human subjects during coronavirus: a systematic review
Rawaf, S., Al-Saffar, M., Quezada-Yamamoto, H., Alshaikh, M., Pelly, M., Rawaf, D., Dubois, E., Majeed, A.
10.1101/2020.05.07.20094326 — Posted: 2020-05-11
Assessing the Intervention's Effectiveness and Health System Efficiency During COVID-19 Crisis using A Signal-to-Noise Ratio Index
Wahba, K.
10.1101/2020.05.07.20094334 — Posted: 2020-05-11
Relationship between odor intensity estimates and COVID-19 population prediction in a Swedish sample
Iravani, B., Arshamian, A., Ravia, A., Mishor, E., Snitz, K., Shushan, S., Roth, Y., Perl, O., Honigstein, D., Weissgross, R., Karagach, S., Ernst, G., Okamoto, M., Mainen, Z., Monteleone, E., Dinnella, C., Spinelli, S., Marino-Sanchez, F., Ferdenzi, C., Smeets, M., Touhara, K., Bensafi, M., Hummel, T., Sobel, N., Lundstrom, J. N.
10.1101/2020.05.07.20094516 — 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).