The Daily Patterns of Emergency Medical Events

The Daily Patterns of Emergency Medical Events

This study examines population-level daily patterns of time-stamped emergency medical service (EMS) dispatches to establish their situational predictability. Using visualization, sinusoidal regression, and statistical tests to compare empirical cumulative distributions, we analyzed 311,848,450 emerg...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Journal of biological rhythms 2024-02, Vol.39 (1), p.79-99
Hauptverfasser: Helander, Mary E., Formica, Margaret K., Bergen-Cico, Dessa K.
Format: Artikel
Sprache:eng
Schlagworte:
Circadian Rhythm
Convulsions
COVID-19
Daylight
Emergency Medical Services
Empirical analysis
Health services
Heart
Population studies
Regression coefficients
Retrospective Studies
Risk factors
Seizures
Sine waves
Sleep and wakefulness
Statistical analysis
Statistical tests
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung:This study examines population-level daily patterns of time-stamped emergency medical service (EMS) dispatches to establish their situational predictability. Using visualization, sinusoidal regression, and statistical tests to compare empirical cumulative distributions, we analyzed 311,848,450 emergency medical call records from the US National Emergency Medical Services Information System (NEMSIS) for years 2010 through 2022. The analysis revealed a robust daily pattern in the hourly distribution of distress calls across 33 major categories of medical emergency dispatch types. Sinusoidal regression coefficients for all types were statistically significant, mostly at the p 
ISSN:0748-7304
1552-4531
DOI:10.1177/07487304231193876