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

31,363 Articles (22,803 medRxiv, 8,560 bioRxiv)

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COVID-19 Outbreak Prediction with Machine Learning
Ardabili, S. F., MOSAVI, A., Ghamisi, P., Ferdinand, F., Varkonyi-Koczy, A. R., Reuter, U., Rabczuk, T., Atkinson, P. M.
10.1101/2020.04.17.20070094 — Posted: 2020-04-22
Assessment of Fabric Masks as Alternatives to Standard Surgical Masks in Terms of Particle Filtration Efficiency
Mueller, A. V., Fernandez, L. A.
10.1101/2020.04.17.20069567 — Posted: 2020-04-22 Discussion: Onsite
Social Distancing and Personal Protective Measures Decrease Influenza Morbidity and Mortality
Young, G. M., Peng, X., Rebaza, A., Bermejo, S., Chang, D., Sharma, L., Dela Cruz, C.
10.1101/2020.04.17.20070102 — Posted: 2020-04-22
An ecological study of socioeconomic predictors in detection of COVID-19 cases across neighborhoods in New York City
Whittle, R. S., Diaz-Artiles, A.
10.1101/2020.04.17.20069823 — Posted: 2020-04-22
Surveying Tenants of Permanent Supportive Housing in Skid Row about COVID-19
Henwood, B. F., Redline, B., Lahey, J.
10.1101/2020.04.17.20070052 — Posted: 2020-04-22
CAN-NPI: A Curated Open Dataset of Canadian Non-Pharmaceutical Interventions in Response to the Global COVID-19 Pandemic
McCoy, L. G., Smith, J., Anchuri, K., Berry, I., Pineda, J., Harish, V., Lam, A. T., Yi, S. E., Hu, S., Canadian Open Data Working Group: Non-Pharmaceutical Interventions, , Fine, B.
10.1101/2020.04.17.20068460 — Posted: 2020-04-22
Prediction of Coronavirus Disease (covid-19) Evolution in USA with the Model Based on the Eyring Rate Process Theory and Free Volume Concept
Hao, T.
10.1101/2020.04.16.20068692 — Posted: 2020-04-22
Sustaining Social Distancing Policies to Prevent a Dangerous Second Peak of COVID-19 Outbreak
Feng, Z., Damon-Feng, H., Zhao, H.
10.1101/2020.04.17.20069351 — Posted: 2020-04-22 Discussion: Onsite
A Web-based, Mobile Responsive Application to Screen Healthcare Workers for COVID Symptoms: Descriptive Study
Zhang, H., Dimitrov, D., Simpson, L., Singh, B., Plaks, N., Penney, S., Charles, J., Sheehan, R., Flammini, S., Murphy, S., Landman, A.
10.1101/2020.04.17.20069211 — Posted: 2020-04-22
Statistical and network-based analysis of Italian COVID-19 data: communities detection and temporal evolution
Milano, M., Cannataro, M.
10.1101/2020.04.17.20068916 — Posted: 2020-04-22

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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).