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

30,554 Articles (22,400 medRxiv, 8,154 bioRxiv)

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Prediction of the COVID-19 Epidemic Trends Based on SEIR and AI Models
Feng, S., Feng, Z., Ling, C., Chang, C., Feng, Z.
10.1101/2020.04.21.20074138 — Posted: 2020-04-24
Minimising lockdown periods for regional elimination of covid-19
Kault, D. A.
10.1101/2020.04.19.20071761 — Posted: 2020-04-24 Discussion: Onsite
Association of infected probability of COVID-19 with ventilation rates in confined spaces: a Wells-Riley equation based investigation
Dai, H., Zhao, B.
10.1101/2020.04.21.20072397 — Posted: 2020-04-24
Biased and unbiased estimation of the average lengths of stay in intensive care units in the COVID-19 pandemic
Lapidus, N., Zhou, X., Carrat, F., Riou, B., Zhao, Y., Hejblum, G.
10.1101/2020.04.21.20073916 — Posted: 2020-04-24
High prevalence of putative invasive pulmonary aspergillosis in critically ill COVID-19 patients
Alanio, A., Delliere, S., Fodil, S., Bretagne, S., Megarbane, B.
10.1101/2020.04.21.20064915 — Posted: 2020-04-24
COVID-19: Public Compliance with and Public Support for Stay-at-Home Mitigation Strategies
Czeisler, M. E., Howard, M. E., Robbins, R., Barger, L. K., Facer-Childs, E. R., Rajaratnam, S. M., Czeisler, C. A.
10.1101/2020.04.22.20076141 — Posted: 2020-04-24 Discussion: Onsite
Clinical Characteristics and Risk factors for developed COVID-19 patients transferring to designated hospital from Jianghan Fangcang shelter Hospital: a retrospective, observational study
Liao, Y., Feng, Y., Wang, B., Wang, H., Huang, J., Wu, Y., Wu, Z., Chen, X., Yang, C., Fu, X., Sun, H.
10.1101/2020.04.21.20074724 — Posted: 2020-04-24
Risk of COVID-19 is associated with long-term exposure to air pollution
Tian, H., Liu, Y., Song, H., Wu, C.-H., Li, B., Kraemer, M. U. G., Zheng, P., Yan, X., Jia, G., Zheng, Y., Stenseth, N. C., Dye, C.
10.1101/2020.04.21.20073700 — Posted: 2020-04-24
Nonlinear Markov Chain Modelling of the Novel Coronavirus (Covid-19) Pandemic
Catak, M., Duran, N.
10.1101/2020.04.21.20073668 — Posted: 2020-04-24
Data-driven modeling reveals a universal dynamic underlying the COVID-19 pandemic under social distancing
Marsland, R., Mehta, P.
10.1101/2020.04.21.20073890 — Posted: 2020-04-24

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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).