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

31,198 Articles (22,713 medRxiv, 8,485 bioRxiv)

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Repurposing Therapeutics for COVID-19: Rapid Prediction of Commercially available drugs through Machine Learning and Docking
Mahapatra, S., Nath, P., Chatterjee, M., Das, N., Kalita, D., Roy, P., Satapathi, S.
10.1101/2020.04.05.20054254 — Posted: 2020-04-07 Discussion: Onsite
An "Infodemic": Leveraging High-Volume Twitter Data to Understand Public Sentiment for the COVID-19 Outbreak
Medford, R. J., Saleh, S. N., Sumarsono, A., Perl, T. M., Lehmann, C. U.
10.1101/2020.04.03.20052936 — Posted: 2020-04-07
Thoughts on Higher Medical Education Under Major Public Health Emergencies: Thinking Ahead After COVID-19 Outbreak
Lin, W., Chen, Y., Shi, S., Liang, J., Huang, H., Li, L., Cai, L., Zong, L., Wang, N., Wen, J., Chen, G.
10.1101/2020.04.06.20053918 — Posted: 2020-04-07
Increased Detection coupled with Social Distancing and Health Capacity Planning Reduce the Burden of COVID-19 Cases and Fatalities: A Proof of Concept Study using a Stochastic Computational Simulation Model
Ghosh, P., Basheer, S., Paul, S., Chakrabarti, P., Sarkar, J.
10.1101/2020.04.05.20054775 — Posted: 2020-04-07
Mandated Bacillus Calmette-Guerin (BCG) vaccination predicts flattened curves for the spread of COVID-19
Berg, M. K., Yu, Q., Salvador, C. E., Melani, I., Kitayama, S.
10.1101/2020.04.05.20054163 — Posted: 2020-04-07 Discussion: Onsite
Reduction in time delay of isolation in COVID-19 cases in South Korea
Ryu, S., Jang, C., Kim, B.
10.1101/2020.04.03.20051847 — Posted: 2020-04-07
COVID-19 diagnosis prediction in emergency care patients: a machine learning approach
Batista, A. F. d. M., Miraglia, J. L., Donato, T. H. R., Chiavegatto Filho, A. D. P.
10.1101/2020.04.04.20052092 — Posted: 2020-04-07
Fast spread of COVID-19 in Europe and the US and its implications: even modest public health goals require comprehensive intervention
Ke, R., Sanche, S., Romero-Severson, E., Hengartner, N.
10.1101/2020.04.04.20050427 — Posted: 2020-04-07
COVID-19 pandemic: Impact of lockdown, contact and non-contact transmissions on infection dynamics
Roy, S.
10.1101/2020.04.04.20050328 — Posted: 2020-04-07
Study of Epidemiological Characteristics and In-silico Analysis of the Effect of Interventions in the SARS-CoV-2 Epidemic in India
Mazumder, A., Arora, M., Bharadiya, V., Berry, P., Agarwal, M., Gupta, M., Behera, P.
10.1101/2020.04.05.20053884 — Posted: 2020-04-07 Discussion: Onsite

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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).