Practical School Algorithms for Symptomatic or SARS-CoV-2-Exposed Students Are Essential for Returning Children to In-Person Learning - 21/01/21
Doi : 10.1016/j.jpeds.2020.09.060
Rachel C. Orscheln, MD 1, Jason G. Newland, MD 1, David A. Rosen, MD, PhD 1, 2, ⁎ 
1 Division of Pediatric Infectious Diseases, Department of Pediatrics, Washington University School of Medicine, St. Louis, MO
2 Department of Molecular Microbiology, Washington University School of Medicine, St. Louis, MO
∗Reprint requests: David A. Rosen, MD, PhD, Division of Pediatric Infectious Diseases, Washington University School of Medicine, Campus Box 8208, 660 S. Euclid Ave, St. Louis, MO 63110.Division of Pediatric Infectious DiseasesWashington University School of MedicineCampus Box 8208660 S. Euclid AveSt. LouisMO63110
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Abbreviations : COVID-19, SARS-CoV-2
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| Funded by the NIH NCATS CTSA (UL1 TR001414 [to Dan Cooper, MD at UC Irvine]) for the development and illustration of the student screening algorithm. The NIH had no role in the development of these algorithms. The authors declare no conflicts of interest. |
© 2020
Elsevier Inc. Reservados todos los derechos.
Vol 229
P. 275-277 - février 2021 Regresar al número
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