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

31,244 Articles (22,733 medRxiv, 8,511 bioRxiv)

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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
The importance of timing of a population level intervention on COVID-19 mortality
Johnston, J. S., Johnston, E. S., Johnston, S. L.
10.1101/2020.04.19.20071845 — Posted: 2020-04-22
Potential magnitude of COVID-19-induced healthcare resource depletion in Ontario, Canada
Barrett, K., Khan, Y. A., Mac, S., Ximenes, R., Naimark, D. M., Sander, B.
10.1101/2020.04.19.20071712 — Posted: 2020-04-22
Spatial analysis of COVID-19 spread in Iran: Insights into geographical and structural transmission determinants at a province level
Ramirez-Aldana, R., Gomez-Verjan, J. C., Bello-Chavolla, O. Y.
10.1101/2020.04.19.20071605 — Posted: 2020-04-22

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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).