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

31,397 Articles (22,816 medRxiv, 8,581 bioRxiv)

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Distinguishing L and H phenotypes of COVID-19 using a single x-ray image
Islam, M. T., Fleischer, J. W.
10.1101/2020.04.27.20081984 — Posted: 2020-05-03 Discussion: Offsite
Is this beginning or the end of COVID-19 battle in India? A data-driven mathematical model-based analysis of outbreak
Singh, A., Dey, J., Bhardwaj, S.
10.1101/2020.04.27.20081422 — Posted: 2020-05-03
Global academic response to COVID-19: Cross-sectional study
Helliwell, J. A., Bolton, W. S., Burke, J. R., Tiernan, J. P., Jayne, D. G., Chapman, S. J.
10.1101/2020.04.27.20081414 — Posted: 2020-05-03
Better Strategies for Containing COVID-19 Epidemics --- A Study of 25 Countries via an Extended Varying Coefficient SEIR Model
Gu, J., Yan, H., Huang, Y., Zhu, Y., Sun, H., Zhang, X., Wang, Y., Qiu, Y., Chen, S.
10.1101/2020.04.27.20081232 — Posted: 2020-05-03
Predictive value of sudden olfactory loss in the diagnosis of COVID-19
Haehner, A., Draf, J., Draeger, S., de With, K., Hummel, T.
10.1101/2020.04.27.20081356 — Posted: 2020-05-03
Brazilian Modeling of COVID-19 (BRAM-COD): a Bayesian Monte Carlo approach for COVID-19 spread in a limited data set context
Dana, S., Simas, A. B., Filardi, B. A., Rodriguez, R. N., Valiengo, L. L. d. C., Gallucci-Neto, J.
10.1101/2020.04.29.20081174 — Posted: 2020-05-03 Discussion: Onsite
How Social Media and 3D Printing Tackles the PPE Shortage during Covid - 19 Pandemic
Vordos, N., Gkika, D. A., Maliaris, G., Tilkeridis, K., Antoniou, A., Bandekas, D. V., Mitropoulos, A. C.
10.1101/2020.04.27.20081372 — Posted: 2020-05-03
Estimation of SARS-CoV-2 emissions from non-symptomatic cases
Riediker, M., Tsai, D.-H.
10.1101/2020.04.27.20081398 — Posted: 2020-05-03
Simplified model of Covid-19 epidemic prognosis under quarantine and estimation of quarantine effectiveness
Dziugys, A., Bieliunas, M., Skarbalius, G., Misiulis, E., Navakas, R.
10.1101/2020.04.28.20083428 — Posted: 2020-05-03
Releasing the lockdown in the UK Covid-19 epidemic: a stochastic model
Lander, A. D.
10.1101/2020.04.28.20083329 — Posted: 2020-05-03

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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).