Asyndromic surveillance of New York City emergency department diagnoses with the tree-temporal scan statistic
Objectives Illness trends are typically monitored by reportable disease and syndromic surveillance systems, but unanticipated health issues might not be captured. Using diagnosis codes, the New York City Health Department developed a novel data mining process to detect unusual increases in emergency...
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| Główni autorzy: | , , , |
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| Format: | Artigo |
| Język: | Inglês |
| Wydane: |
SAGE Publishing
2026-06-01
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| Seria: | Journal of Public Health Research |
| Dostęp online: | https://doi.org/10.1177/22799036261457753 |
| Etykiety: |
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