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

31,440 Articles (22,835 medRxiv, 8,605 bioRxiv)

Most recent first Previous |  Page 2883: Articles 28821-28830  | Next

When the storm is the strongest: The health conditions and job satisfaction of Healthcare staff and their associated predictors during the epidemic peak of COVID-19
Zhang, S. X., Liu, J., Afshar Jahanshahi, A., Nawaser, K., Li, J., Alimoradi, H.
10.1101/2020.04.27.20082149 — Posted: 2020-05-02
Molecular Architecture of Early Dissemination and Evolution of the SARS-CoV-2 Virus in Metropolitan Houston, Texas
Long, S. W., Christensen, P. A., Bernard, D. W., Davis, J. R., Shukla, M., Nguyen, M., Saavedra, M. O., Cantu, C. C., Yerramilli, P., Pruitt, L., Subedi, S., Hendrickson, H., Eskandari, G., Kumaraswami, M., McLellan, J. S., Musser, J. M.
10.1101/2020.05.01.072652 — Posted: 2020-05-01 Discussion: Onsite
False positives in reverse transcription PCR testing for SARS-CoV-2
Cohen, A. N., Kessel, B.
10.1101/2020.04.26.20080911 — Posted: 2020-05-01 Discussion: Onsite
New S.I.R. model used in the projection of COVID 19 cases in Brazil
Freitas, A. S., Silva, L. S., Sandes, S. S. L.
10.1101/2020.04.26.20080218 — Posted: 2020-05-01
Preparedness and Mitigation by projecting the risk against COVID-19 transmission using Machine Learning Techniques
Kumar, A., Mohammad Khan, F., Gupta, R., Puppala, H.
10.1101/2020.04.26.20080655 — Posted: 2020-05-01
Review and methodological analysis of trials currently testing treatment and prevention options for the novel coronavirus disease (COVID-19) globally.
Fragkou, P. C., Belhadi, D., Peiffer-Smadja, N., Moschopoulos, C. D., Lescure, F.-X., Janocha, H., Karofylakis, E., Yazdanpanah, Y., Mentre, F., Skevaki, C., Laouenan, C., Tsiodras, S.
10.1101/2020.04.27.20080226 — Posted: 2020-05-01
Estimates of the ongoing need for social distancing and control measures post-"lockdown" from trajectories of COVID-19 cases and mortality.
Lonergan, M., Chalmers, J.
10.1101/2020.04.26.20080994 — Posted: 2020-05-01
Fitting SIR model to COVID-19 pandemic data and comparative forecasting with machine learning
Balde, M. A. M. T.
10.1101/2020.04.26.20081042 — Posted: 2020-05-01
Accounting for super-spreading gives the basic reproduction number R0 of COVID-19 that is higher than initially estimated
Kochanczyk, M., Grabowski, F., Lipniacki, T.
10.1101/2020.04.26.20080788 — Posted: 2020-05-01
A first study on the impact of containment measure on COVID-19 spread in Morocco
Hammoumi, A., Qesmi, R.
10.1101/2020.04.26.20080770 — Posted: 2020-05-01 Discussion: Onsite

RSS  Collection RSS | JSON

The feeds linked above output metadata for the 100 most recent papers in the collection.To access the metadata for the entire collection in JSON or XML, visit the collection API.

Subject Areas
* 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).