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

31,233 Articles (22,733 medRxiv, 8,500 bioRxiv)

Most recent first Previous |  Page 2964: Articles 29631-29640  | Next

A novel high specificity COVID-19 screening method based on simple blood exams and artificial intelligence
Soares, F., Villavicencio, A., Anzanello, M. J., Fogliatto, F. S., Idiart, M., Stevenson, M.
10.1101/2020.04.10.20061036 — Posted: 2020-04-14
Estimating cost-benefit of quarantine length for Covid-19 mitigation
Eilersen, A., Sneppen, K.
10.1101/2020.04.09.20059790 — Posted: 2020-04-14 Discussion: Onsite
Between Geography and Demography: Key Interdependencies and Exit Mechanisms for Covid-19
Scala, A., Flori, A., Spelta, A., Brugnoli, E., Cinelli, M., Quattrociocchi, W., Pammolli, F.
10.1101/2020.04.09.20059592 — Posted: 2020-04-14
New approximations, and policy implications, from a delayed dynamic model of a fast pandemic
Vyasarayani, C. P., Chatterjee, A.
10.1101/2020.04.09.20059436 — Posted: 2020-04-14
Near- and forecasting the SARS-COV-2 epidemic requires a global view and multiple methods
Austin, D. J.
10.1101/2020.04.09.20059402 — Posted: 2020-04-14
Using random testing to manage a safe exit from the COVID-19 lockdown
Mueller, M., Derlet, P., Mudry, C., Aeppli, G.
10.1101/2020.04.09.20059360 — Posted: 2020-04-14
Relationship between Average Daily Temperature and Average Cumulative Daily Rate of Confirmed Cases of COVID-19
Pirouz, B., Golmohammadi, A., Saeidpour Masouleh, H., Violini, G., Pirouz, B.
10.1101/2020.04.10.20059337 — Posted: 2020-04-14 Discussion: Onsite
Forecasting Covid-19 Outbreak Progression in Italian Regions: A model based on neural network training from Chinese data
Distante, C., Gadelha Pereira, I., Garcia Goncalves, L. M., Piscitelli, P., Miani, A.
10.1101/2020.04.09.20059055 — Posted: 2020-04-14
Myocyte Specific Upregulation of ACE2 in Cardiovascular Disease: Implications for SARS-CoV-2 mediated myocarditis
Tucker, N. R., Chaffin, M., Bedi, K. C., Papangeli, I., Akkad, A.-D., Arduini, A., Hayat, S., Eraslan, G., Muus, C., Bhattacharyya, R., Stegmann, C. M., Human Cell Atlas Lung Biological Network, , Margulies, K. B., Ellinor, P. T.
10.1101/2020.04.09.20059204 — Posted: 2020-04-14
Case- fatality rate in COVID- 19 patients: A meta-analysis of publicly accessible database
Maitra, S., Biswas, M., Bhattacharjee, S.
10.1101/2020.04.09.20059683 — Posted: 2020-04-14

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).