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

30,726 Articles (22,502 medRxiv, 8,224 bioRxiv)

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Model calibration, nowcasting, and operational prediction of the COVID-19 pandemic
Annan, J. D., Hargreaves, J. C.
10.1101/2020.04.14.20065227 — Posted: 2020-04-17
Optimal Allocation of COVID-19 Test Kits Among Accredited Testing Centers in the Philippines
Buhat, C. A. H., Duero, J. C. C., Felix, E. F. O., Rabajante, J. F., Mamplata, J. B.
10.1101/2020.04.14.20065201 — Posted: 2020-04-17
Refined compartmental models, asymptomatic carriers and COVID-19
Oliveira, G.
10.1101/2020.04.14.20065128 — Posted: 2020-04-17
Novel Coronavirus in Nigeria: Epidemiological analysis of the first 45 days of the pandemic
Adegboye, O., Adekunle, A. I., Gayawan, E.
10.1101/2020.04.14.20064949 — Posted: 2020-04-17
Estimating the last day for COVID-19 outbreak in mainland China
Griette, Q., Liu, Z., magal, p.
10.1101/2020.04.14.20064824 — Posted: 2020-04-17
Estimate of Covid-19 prevalence using imperfect data
Rudnicki, W. R., Piliszek, R.
10.1101/2020.04.14.20064840 — Posted: 2020-04-17
What influences COVID-19 infection rates: A statistical approach to identify promising factors applied to infection data from Germany
Mercker, M., Betzin, U., Wilken, D.
10.1101/2020.04.14.20064501 — Posted: 2020-04-17
Massive and rapid COVID-19 testing is feasible by extraction-free SARS-CoV-2 RT-qPCR
Smyrlaki, I., Ekman, M., Vondracek, M., Papanicoloau, N., Lentini, A., Aarum, J., Muradrasoli, S., Albert, J., Högberg, B., Reinius, B.
10.1101/2020.04.17.20067348 — Posted: 2020-04-17 Discussion: Onsite
Basic estimation-prediction techniques for Covid-19, and a prediction for Stockholm
Britton, T.
10.1101/2020.04.15.20066050 — Posted: 2020-04-17 Discussion: Onsite
Optimizing RT-PCR detection of SARS-CoV-2 for developing countries using pool testing
Farfan, M. J., Torres, J. P., ORyan, M., Olivares, M., Gallardo, P., Salas, C.
10.1101/2020.04.15.20067199 — Posted: 2020-04-17

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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).