Practical School Algorithms for Symptomatic or SARS-CoV-2-Exposed Students Are Essential for Returning Children to In-Person Learning

Rachel C. Orscheln; Jason G. Newland; David A. Rosen

doi:10.1016/j.jpeds.2020.09.060

Practical School Algorithms for Symptomatic or SARS-CoV-2-Exposed Students Are Essential for Returning Children to In-Person Learning

Rachel C. Orscheln, Jason G. Newland, David A. Rosen

Research output: Contribution to journal › Comment/debate

Original language	English
Pages (from-to)	275-277
Number of pages	3
Journal	Journal of Pediatrics
Volume	229
DOIs	https://doi.org/10.1016/j.jpeds.2020.09.060
State	Published - Feb 2021

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10.1016/j.jpeds.2020.09.060

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title = "Practical School Algorithms for Symptomatic or SARS-CoV-2-Exposed Students Are Essential for Returning Children to In-Person Learning",

author = "Orscheln, {Rachel C.} and Newland, {Jason G.} and Rosen, {David A.}",

note = "Funding Information: 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.",

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AU - Newland, Jason G.

AU - Rosen, David A.

N1 - Funding Information: 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.

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JO - Journal of Pediatrics

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Practical School Algorithms for Symptomatic or SARS-CoV-2-Exposed Students Are Essential for Returning Children to In-Person Learning

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