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

31,234 Articles (22,733 medRxiv, 8,501 bioRxiv)

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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
Efficient sample pooling strategies for COVID-19 data gathering
Szapudi, I.
10.1101/2020.04.05.20054445 — Posted: 2020-04-07
A Bayesian Logistic Growth Model for the Spread of COVID-19 in New York
Bliznashki, S.
10.1101/2020.04.05.20054577 — Posted: 2020-04-07
SARS-CoV-2 titers in wastewater are higher than expected from clinically confirmed cases
Wu, F., Xiao, A., Zhang, J., Gu, X., Lee, W. L., Kauffman, K., Hanage, W., Matus, M., Ghaeli, N., Endo, N., Duvallet, C., Moniz, K., Erickson, T., Chai, P., Thompson, J., Alm, E.
10.1101/2020.04.05.20051540 — Posted: 2020-04-07 Discussion: Onsite | Offsite
The relationship of COVID-19 severity with cardiovascular disease and its traditional risk factors: A systematic review and meta-analysis
Matsushita, K., Ding, N., Kou, M., Hu, X., Chen, M., Gao, Y., Honda, Y., Dowdy, D., Mok, Y., Ishigami, J., Appel, L. J.
10.1101/2020.04.05.20054155 — Posted: 2020-04-07

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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).