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

31,284 Articles (22,759 medRxiv, 8,525 bioRxiv)

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COVID-19 Epidemic Analysis using Machine Learning and Deep Learning Algorithms
Punn, N. S., Sonbhadra, S. K., Agarwal, S.
10.1101/2020.04.08.20057679 — Posted: 2020-04-11 Discussion: Offsite
Work-related Covid-19 transmission
Lan, F.-Y., Wei, C.-F., Hsu, Y.-T., Christiani, D. C., Kales, S. N.
10.1101/2020.04.08.20058297 — Posted: 2020-04-11 Discussion: Onsite | Offsite
A Comprehensive Analysis of COVID-19 Outbreak situation in India
Gupta, R., Pal, S. K., Pandey, G.
10.1101/2020.04.08.20058347 — Posted: 2020-04-11
Estimating the Growth Rate and Doubling Time for Short-Term Prediction and Monitoring Trend During the COVID-19 Pandemic with a SAS Macro
Xu, S., Clarke, C., Shetterly, S., Narwaney, K.
10.1101/2020.04.08.20057943 — Posted: 2020-04-11
Understanding Economic and Health Factors Impacting the Spread of COVID-19 Disease
Farseev, A., Chu-Farseeva, Y.-Y., Qi, Y., Loo, D. B.
10.1101/2020.04.10.20058222 — Posted: 2020-04-11
Assessing the risk of spread of COVID-19 to the Asia Pacificregion
Shearer, F., Walker, J., Tellioglu, N., McCaw, J. M., McVernon, J., Black, A., Geard, N.
10.1101/2020.04.09.20057257 — Posted: 2020-04-11 Discussion: Onsite
Temporal rise in the proportion of both younger adults and older adolescents among COVID-19 cases in Germany: evidence of lesser adherence to social distancing practices?
Goldstein, E., Lipsitch, M.
10.1101/2020.04.08.20058719 — Posted: 2020-04-11
Accounting for incomplete testing in the estimation of epidemic parameters
Betensky, R. A., Feng, Y.
10.1101/2020.04.08.20058313 — Posted: 2020-04-11
Modeling layered non-pharmaceutical interventions against SARS-CoV-2 in the United States with Corvid
Chao, D. L., Oron, A. P., Srikrishna, D., Famulare, M.
10.1101/2020.04.08.20058487 — Posted: 2020-04-11
Long-term predictions for COVID-19 pandemic dynamics in Ukraine, Austria and Italy
Nesteruk, I.
10.1101/2020.04.08.20058123 — Posted: 2020-04-11

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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).