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

31,507 Articles (22,870 medRxiv, 8,637 bioRxiv)

Most recent first Previous |  Page 2943: Articles 29421-29430  | Next

Population genomics insights into the recent evolution of SARS-CoV-2
Vasilarou, M., Alachiotis, N., Garefalaki, J., Beloukas, A., Pavlidis, P.
10.1101/2020.04.21.054122 — Posted: 2020-04-23
The anticoagulant nafamostat potently inhibits SARS-CoV-2 infection in vitro: an existing drug with multiple possible therapeutic effects
Yamamoto, M., Kiso, M., Sakai-Tagawa, Y., Iwatsuki-Horimoto, K., Imai, M., Takeda, M., Kinoshita, N., Ohmagari, N., Gohda, J., Semba, K., Matsuda, Z., Kawaguchi, Y., Kawaoka, Y., Inoue, J.-i.
10.1101/2020.04.22.054981 — Posted: 2020-04-23 Discussion: Onsite
Seasonality and uncertainty in COVID-19 growth rates
Merow, C., Urban, M. C.
10.1101/2020.04.19.20071951 — Posted: 2020-04-22 Discussion: Onsite
A Bayesian analysis of the total number of cases of the COVID 19 when only a few data is available. A case study in the state of Goias, Brazil
Rodrigues Silva, R., Velasco, W. D., Marques, W. d. S., Tibirica, C. A. G.
10.1101/2020.04.19.20071852 — Posted: 2020-04-22
COVID-19 outbreak in Wuhan demonstrates the limitations of publicly available case numbers for epidemiological modelling.
Raimundez, E., Dudkin, E., Vanhoefer, J., Alamoudi, E., Merkt, S., Fuhrmann, L., Bai, F., Hasenauer, J.
10.1101/2020.04.19.20071597 — Posted: 2020-04-22
More prevalent, less deadly? Bayesian inference of the COVID19 Infection Fatality Ratio from mortality data
Delius, G. W., Powell, B. J., Bees, M. A., Constable, G. W. A., MacKay, N. J., Pitchford, J. W.
10.1101/2020.04.19.20071811 — Posted: 2020-04-22
Modeling the COVID-19 epidemic in Okinawa
Pigolotti, S., Chiuchiu, D., Villa Martin, P., Bhat, D.
10.1101/2020.04.20.20071977 — Posted: 2020-04-22 Discussion: Onsite
Dynamics of Transmission and Control of COVID-19: A Real-time Estimation Using the Kalman Filter
Rondon-Moreno, C., Arroyo Marioli, F., Bullano, F.
10.1101/2020.04.19.20071886 — Posted: 2020-04-22
How best to use limited tests? Improving COVID-19 surveillance in long-term care
Smith, D. R., Duval, A., Pouwels, K. B., Guillemot, D., Fernandes, J., Huynh, B.-T., Temime, L., Opatowski, L.
10.1101/2020.04.19.20071639 — Posted: 2020-04-22
Characterization and Clinical Course of 1000 Patients with COVID-19 in New York: retrospective case series
Argenziano, M. G., Bruce, S. L., Slater, C. L., Tiao, J. R., Baldwin, M. R., Barr, R. G., Chang, B. P., Chau, K. H., Choi, J. J., Gavin, N., Goyal, P., Mills, A. M., Patel, A. A., Romney, M. S., Safford, M. M., Schluger, N. W., Sengupta, S., Sobieszczyk, M. E., Zucker, J. E., Asadourian, P. A., Bell, F. M., Boyd, R., Cohen, M. F., Colquhoun, M. I., Colville, L. A., de Jonge, J. H., Dershowitz, L. B., Dey, S. A., Eiseman, K. A., Girvin, Z. P., Goni, D. T., Harb, A. A., Herzik, N., Householder, S., Karaaslan, L. E., Lee, H., Lieberman, E., Ling, A., Lu, R., Shou, A. Y., Sisti, A. C., Snow, Z. E., Sperring, C. P., Xiong, Y., Zhou, H. W., Natarajan, K., Hripcsak, G., Chen, R.
10.1101/2020.04.20.20072116 — Posted: 2020-04-22

RSS  Collection RSS | JSON

The feeds linked above output metadata for the 100 most recent papers in the collection.To access the metadata for the entire collection in JSON or XML, visit the collection API.

Subject Areas
* 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).