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

31,711 Articles (22,913 medRxiv, 8,798 bioRxiv)

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A model for COVID-19 prediction in Iran based on China parameters
Zareie, B., Roshani, A., Mansournia, M. A., Rasouli, M. A., Moradi, G.
10.1101/2020.03.19.20038950 — Posted: 2020-03-23
Now-casting the COVID-19 epidemic: The use case of Japan, March 2020
Gloeckner, S., Krause, G., Hoehle, M.
10.1101/2020.03.18.20037473 — Posted: 2020-03-23
Effectiveness and safety of antiviral or antibody treatments for coronavirus
Rios, P., Radhakrishnan, A., Antony, J., Thomas, S. M., Muller, M., Straus, S. E., Tricco, A. C.
10.1101/2020.03.19.20039008 — Posted: 2020-03-23
Clinical Characteristics of Coronavirus Disease 2019 in Hainan, China
Yan, S., Song, X., Lin, F., Zhu, H., Wang, X., Li, M., Ruan, J., Lin, C., Liu, X., Wu, Q., Luo, Z., Fu, W., Chen, S., Yuan, Y., Liu, S., Yao, J., Lv, C.
10.1101/2020.03.19.20038539 — Posted: 2020-03-23
Association between Clinical, Laboratory and CT Characteristics and RT-PCR Results in the Follow-up of COVID-19 patients
Fu, H., Xu, H., Zhang, N., Xu, H., Li, Z., Chen, H., Xu, R., Sun, R., Wen, L., Xie, L., Liu, H., Zhang, K., Fu, C., Hou, K., Yang, Z., Yang, M., Guo, Y.
10.1101/2020.03.19.20038315 — Posted: 2020-03-23 Discussion: Onsite
Estimating the reproduction number of COVID-19 in Iran using epidemic modeling
Sahafizadeh, E., Sartoli, S.
10.1101/2020.03.20.20038422 — Posted: 2020-03-23
From a single host to global spread. The global mobility based modelling of the COVID-19 pandemic implies higher infection and lower detection rates than current estimates.
Siwiak, M. M., Szczesny, P., Siwiak, M. P.
10.1101/2020.03.21.20040444 — Posted: 2020-03-23
Clinical characteristics and reasons of different duration from onset to release from quarantine for patients with COVID-19 Outside Hubei province, China.
Tian, S., Chang, Z., Wang, Y., Wu, M., Zhang, W., Zhou, G., Zou, X., Tian, H., Xiao, T., Xing, J., Chen, J., Han, J., Ning, K., Wu, T.
10.1101/2020.03.21.20038778 — Posted: 2020-03-23
Bibliometric Analysis of Global Scientific Research on SARSCoV-2 (COVID-19)
Rafiei Nasab, F., rahim, F.
10.1101/2020.03.19.20038752 — Posted: 2020-03-23 Discussion: Onsite
Supervised Machine Learning for the Early Prediction of Acute Respiratory Distress Syndrome (ARDS)
Le, S., Pellegrini, E., Green-Saxena, A., Summers, C., Hoffman, J., Calvert, J., Das, R.
10.1101/2020.03.19.20038364 — Posted: 2020-03-23

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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).