Shifting dermatology market strategies from cosmetics to moisturizers and sanitizers treatments in <scp>COVID</scp> ‐19 era
Bibliographic record
Abstract
Dermatologic TherapyVolume 33, Issue 4 e13806 Letter Shifting dermatology market strategies from cosmetics to moisturizers and sanitizers treatments in COVID-19 era Robert A. Schwartz, Robert A. Schwartz orcid.org/0000-0003-3036-3825 Department of Dermatology, Rutgers New Jersey Medical School, Newark, New Jersey, USASearch for more papers by this authorSwetalina Pradhan, Swetalina Pradhan Department of Dermatology and Venereology, All India Institute of Medical Sciences, Patna, IndiaSearch for more papers by this authorHassan Galadari, Hassan Galadari Department of Dermatology, College of Medicine and Health Sciences, United Arab Emirates University, Al Ain, United Arab EmiratesSearch for more papers by this authorTorello Lotti, Torello Lotti orcid.org/0000-0003-0840-1936 Department of Dermatology, University of Studies Guglielmo Marconi, Rome, ItalySearch for more papers by this authorAseem Sharma, Aseem Sharma orcid.org/0000-0001-5873-227X Dermatology Unit, Skin Saga Centre for Dermatology, Mumbai, IndiaSearch for more papers by this authorMohamad Goldust, Corresponding Author Mohamad Goldust [email protected] orcid.org/0000-0002-9615-1246 Department of Dermatology, University of Rome G. Marconi, Rome, Italy Department of Dermatology, University Hospital Basel, Basel, Switzerland Correspondence Mohamad Goldust, Department of Dermatology, University Hospital Basel, Basel, Switzerland. Email: [email protected]Search for more papers by this author Robert A. Schwartz, Robert A. Schwartz orcid.org/0000-0003-3036-3825 Department of Dermatology, Rutgers New Jersey Medical School, Newark, New Jersey, USASearch for more papers by this authorSwetalina Pradhan, Swetalina Pradhan Department of Dermatology and Venereology, All India Institute of Medical Sciences, Patna, IndiaSearch for more papers by this authorHassan Galadari, Hassan Galadari Department of Dermatology, College of Medicine and Health Sciences, United Arab Emirates University, Al Ain, United Arab EmiratesSearch for more papers by this authorTorello Lotti, Torello Lotti orcid.org/0000-0003-0840-1936 Department of Dermatology, University of Studies Guglielmo Marconi, Rome, ItalySearch for more papers by this authorAseem Sharma, Aseem Sharma orcid.org/0000-0001-5873-227X Dermatology Unit, Skin Saga Centre for Dermatology, Mumbai, IndiaSearch for more papers by this authorMohamad Goldust, Corresponding Author Mohamad Goldust [email protected] orcid.org/0000-0002-9615-1246 Department of Dermatology, University of Rome G. Marconi, Rome, Italy Department of Dermatology, University Hospital Basel, Basel, Switzerland Correspondence Mohamad Goldust, Department of Dermatology, University Hospital Basel, Basel, Switzerland. Email: [email protected]Search for more papers by this author First published: 12 June 2020 https://doi.org/10.1111/dth.13806Citations: 4Read the full textAboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onEmailFacebookTwitterLinkedInRedditWechat No abstract is available for this article. REFERENCES 1Rudnicka L, Gupta M, Kassir M, et al. Priorities for global health community in COVID-19 pandemic. Dermatol Ther. 2020;e13361. https://doi.org/10.1111/dth.13361. 10.1111/dth.13361 PubMedWeb of Science®Google Scholar 2Goldust M, Shivakumar S, Kroumpouzos G, Murrell DF, Mueller SM, Navarini AA. Where do we stand as dermatologists in combat with COVID-19. Dermatol Ther. 2020. https://doi.org/10.1111/dth.13638. 10.1111/dth.13638 Web of Science®Google Scholar 3Murrell DF, Arora G, Rudnicka L, et al. Will teledermatology be the silver lining during and after COVID-19? Dermatol Ther. 2020. https://doi.org/10.1111/dth.13538. Web of Science®Google Scholar 4Sadoughifar R, Goldust M, Kroumpouzos G, Szepietowski JC, Lotti T, Sandhu S. Dermatologic treatments in the era of the COVID-19 pandemics—data and hypothesis. Dermatol Ther. 2020;e13562. https://doi.org/10.1111/dth.13562. PubMedWeb of Science®Google Scholar 5Arora G, Kroumpouzos G, Kassir M, et al. Solidarity and transparency against the COVID-19 pandemic. Dermatol Ther. 2020;edth13359. https://doi.org/10.1111/dth.13359. 10.1111/dth.13359 PubMedWeb of Science®Google Scholar 6Gupta M, Abdelmaksoud A, Jafferany M, Lotti T, Sadoughifar R, Goldust M. COVID-19 and economy. Dermatol Ther. 2020;e13329. https://doi.org/10.1111/dth.13329. 10.1111/dth.13329 PubMedWeb of Science®Google Scholar 7Sharma A, Fölster-Holst R, Kassir M, et al. The effect of quarantine and isolation for COVID-19 in general population and dermatologic treatments. Dermatol Ther. 2020;e13398. https://doi.org/10.1111/dth.13398. PubMedWeb of Science®Google Scholar 8 CDC. COVID-19: U.S. at a Glance. 2020. https://www.cdc.gov/coronavirus/2019-ncov/cases-updates/cases-in-us.html. Google Scholar 9Bogdanov I, Darlenski R, Hristakieva E, Manuelyan K. The rash that presents as a vesiculobullous eruption. Clin Dermatol. 2020; 38(1): 19-34. 10.1016/j.clindermatol.2019.10.012 PubMedWeb of Science®Google Scholar 10Gupta MK, Lipner SR. 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Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.006 | 0.008 |
| Insufficient payload (model declined to judge) | 0.038 | 0.011 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".