Inferring school district learning modalities during the COVID-19 pandemic with a hidden Markov model.
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| Title: | Inferring school district learning modalities during the COVID-19 pandemic with a hidden Markov model. |
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| Authors: | Panaggio MJ; Johns Hopkins University Applied Physics Laboratory, Laurel, Maryland., Fang M; Johns Hopkins University Applied Physics Laboratory, Laurel, Maryland., Bang H; Johns Hopkins University Applied Physics Laboratory, Laurel, Maryland., Armstrong PA; Palantir Technologies, Denver, Colorado, United States of America., Binder AM; Palantir Technologies, Denver, Colorado, United States of America., Grass JE; Palantir Technologies, Denver, Colorado, United States of America., Magid J; COVID-19 Response Team, Centers for Disease Control and Prevention, Atlanta, Georgia., Papazian M; COVID-19 Response Team, Centers for Disease Control and Prevention, Atlanta, Georgia., Shapiro-Mendoza CK; Palantir Technologies, Denver, Colorado, United States of America., Parks SE; Palantir Technologies, Denver, Colorado, United States of America. |
| Source: | PloS one [PLoS One] 2023 Oct 04; Vol. 18 (10), pp. e0292354. Date of Electronic Publication: 2023 Oct 04 (Print Publication: 2023). |
| Publication Type: | Journal Article; Research Support, U.S. Gov't, Non-P.H.S. |
| Journal Info: | Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet ISSN: 1932-6203 (Electronic) Linking ISSN: 19326203 NLM ISO Abbreviation: PLoS One Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 1932-6203 |
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| DOI: | 10.1371/journal.pone.0292354 |
