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

30,861 Articles (22,568 medRxiv, 8,293 bioRxiv)

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Applying mixture model methods to SARS-CoV-2 serosurvey data from the SEROCoV-POP study
Bouman, J. A., Kadelka, S., Stringhini, S., Pennacchio, F., Meyer, B., Yerly, S., Kaiser, L., Guessous, I., Azman, A. S., Bonhoeffer, S., Regoes, R. R.
10.1101/2021.07.19.21260410 — Posted: 2021-07-19
Natural immunity against COVID-19 significantly reduces the risk of reinfection: findings from a cohort of sero-survey participants
MISHRA, B. K., Bhattacharya, D., Kshatri, J. S., Pati, S.
10.1101/2021.07.19.21260302 — Posted: 2021-07-19 Discussion: Onsite
Elderly acceptance of telemedicine use in Hong Kong during and after the COVID-19 pandemic: a cross-sectional cohort survey
Choi, M. C. Y., Chu, S. H., Siu, L. L., Tse, A. G., Wu, J. C. Y., Fung, H., Chiu, B. C. F., Mok, V. C. T.
10.1101/2021.07.15.21260346 — Posted: 2021-07-19
Understanding Adverse Population Sentiment Towards the Spread of COVID-19 in the United States
Hohl, A., Choi, M., Medina, R., Wan, N., Wen, M.
10.1101/2021.07.15.21260543 — Posted: 2021-07-19
Development and validation of a clinical risk score to predict SARS-CoV-2 infection in emergency department patients: The CCEDRRN COVID-19 Infection Score (CCIS)
McRae, A. D., Hohl, C. M., Rosychuk, R. J., Vatanpour, S., Ghaderi, G., Archambault, P. M., Brooks, S. C., Cheng, I., Davis, P., Hayward, J., Lang, E. S., Ohle, R., Rowe, B. H., Welsford, M., Yadav, K., Morrison, L. J., Perry, J. J., Canadian COVID-19 Emergency Department Rapid Response Network (CCEDRRN)
10.1101/2021.07.15.21260590 — Posted: 2021-07-19
Scaling SARS-CoV-2 Wastewater Concentrations to Population Estimates of Infection
Kaplan, E. H., Zulli, A., Sanchez, M., Peccia, J.
10.1101/2021.07.15.21260583 — Posted: 2021-07-19
Serological testing reveals the hidden COVID-19 burden among healthcare workers experiencing a SARS-CoV-2 nosocomial outbreak.
Nakagama, Y., Komase, Y., Candray, K., Nakagama, S., Sano, F., Tsuchida, T., Kunishima, H., Imai, T., Shintani, A., Nitahara, Y., Kaku, N., Kido, Y.
10.1101/2021.07.15.21260585 — Posted: 2021-07-19
Analysis, quantification, and visualization of RT-LAMP technique for detection of COVID-19
Ghazimoradi, M. H., Daryani, M., Gharshasbi, M., Zolghadr, E., Khalafizadeh, A., Babashah, S.
10.1101/2021.07.15.21260528 — Posted: 2021-07-19
Platelet size as a predictor for severity and mortality in COVID-19 patients: a systematic review and meta-analysis
Daniels, S. A., Wei, H., Denning, D. W.
10.1101/2021.07.15.21260576 — Posted: 2021-07-19
"Learn from the lessons and don't forget them": Identifying transferable lessons for COVID-19 from meningitis A, yellow fever, and Ebola virus disease vaccination campaigns
Collins, J., Westerveld, R., Nelson, K. A., Rohan, H., Bower, H., Lazenby, S., Ikilezi, G., Bartlein, R., Bausch, D. G., Kennedy, D. S.
10.1101/2021.07.15.21260439 — Posted: 2021-07-19

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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).