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

30,903 Articles (22,568 medRxiv, 8,335 bioRxiv)

Most recent first Previous |  Page 2141: Articles 21401-21410  | Next

Transmission of SARS-CoV-2 from Children and Adolescents
Chu, V. T., Yousaf, A. R., Chang, K., Schwartz, N., McDaniel, C., Szablewski, C., Brown, M., Winglee, K., Lee, S., Cui, Z., Adebayo, A., Aholou, T., Amin, M., Aryee, P., Castaneda, C., Chambers, T., Fleshman, A., Goodman, C., Holmes, T., Ivey-Stephenson, A., Kamitani, E., Katz, S., Knapp, J., Kolasa, M., Lumsden, M., Mayweather, E., Mohammed, A., Moorman, A., Patel-Larson, A., Perinet, L., Pilgard, M., Pratt, D., Railey, S., Shah, J., Tuckey, D., Dirlikov, E., Rose, D., Villanueva, J., Fry, A., Hall, A., Kirking, H., Tate, J., Drenzek, C., Lanzieri, T., Stewart, R.
10.1101/2020.10.10.20210492 — Posted: 2020-10-12
Social Distancing with Movement Restrictions and the Effective Replication Number of COVID-19: Multi-Country Analysis Based on Phone Mobility Data
Ould Setti, M., Voutilainen, A.
10.1101/2020.10.08.20209064 — Posted: 2020-10-12
Identifying Optimal COVID-19 Testing Strategies for Schools and Businesses: Balancing Testing Frequency, Individual Test Technology, and Cost
Lyng, G. D., Sheils, N. E., Kennedy, C. J., Griffin, D., Berke, E. M.
10.1101/2020.10.11.20211011 — Posted: 2020-10-12
Machine learning based prognostic model and mobile application software platform for predicting infection susceptibility of COVID-19 using health care data
Raveendran, S., Indi, P. N., Agrahari, S., Menon, S., Sathia Seelan, D. A.
10.1101/2020.10.09.20165431 — Posted: 2020-10-12
Severe COVID-19 patients display a back boost of seasonal coronavirus-specific antibodies
Westerhuis, B. M., Aguilar-Bretones, M., Raadsen, M. P., de Bruin, E., Okba, N. M. A., Haagmans, B. L., Langerak, T., Endeman, H., van den Akker, J. P. C., Gommers, D. A. M. P. J., van Gorp, E. C. M., Rockx, B. H. G., Koopmans, M. P. G., van Nierop, G. P.
10.1101/2020.10.10.20210070 — Posted: 2020-10-12 Discussion: Onsite
Physical health complaints among healthcare workers engaged in the care of critically ill COVID-19 patients: A single tertiary-care center prospective study from Japan
NAMIKAWA, H., Tochino, Y., Okada, A., Ota, K., Okada, Y., Fujioka, K., Yamada, K., Watanabe, T., Nakagama, Y., Kido, Y., Takemoto, Y., Mizobata, Y., Kakeya, H., Kuwatsuru, Y., Shibata, T., Shuto, T.
10.1101/2020.10.09.20210393 — Posted: 2020-10-12
COVID-19 Susceptibility and Severity Risks in a Survey of Over 500,000 People
Knight, S. C., McCurdy, S. R., Rhead, B., Coignet, M. V., Park, D. S., Roberts, G. H. L., Berkowitz, N. D., Zhang, M., Turissini, D., Delgado, K., Pavlovic, M., Science Team, A., Haug Baltzell, A. K., Guturu, H., Rand, K. A., Girshick, A. R., Hong, E. L., Ball, C. A.
10.1101/2020.10.08.20209593 — Posted: 2020-10-12
Prevalence of COVID-19-related risk factors and risk of severe influenza outcomes in cancer survivors: a matched cohort study using linked English electronic health records data
Carreira, H., Strongman, H., Peppa, M., McDonald, H. I., dos-Santos-Silva, I., Stanway, S., Smeeth, L., Bhaskaran, K.
10.1101/2020.10.08.20209304 — Posted: 2020-10-12
Level of Knowledge in the COVID-19 Pandemic: A Cross-Sectional Survey of Canadian Medical Students
Niburski, K., Vaughan, R., Papazova, E., Todd, K.
10.1101/2020.10.07.20208801 — Posted: 2020-10-12
One size fits all?: Modeling face-mask fit on population-based faces
Solano, T., Mittal, R., Shoele, K.
10.1101/2020.10.07.20208744 — Posted: 2020-10-12

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).