Predictive modelling in times of public health emergencies: patients’ non-transport decisions during the COVID-19 pandemic

Predictive modelling in times of public health emergencies: patients’ non-transport decisions during the COVID-19 pandemic

<h3>Background</h3><p dir="ltr">During the COVID-19 pandemic, there was a surge in pre-hospital emergency calls due to the increased prevalence of flu-like symptoms and panic related to the pandemic. However, some patients declined transportation to hospital due to their...

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Bibliographic Details
Main Author: Hassan Farhat (9000509) (author)
Other Authors: Cyrine Abid (18464455) (author), Guillaume Alinier (6952004) (author), Moncef Khadhraoui (14778526) (author), Imed Gargouri (14778529) (author), Loua Al Shaikh (22234264) (author), James Laughton (14778532) (author)
Published: 2025
Subjects:
Health sciences
Epidemiology
Health services and systems
Information and computing sciences
Artificial intelligence
Data management and data science
Machine learning
Pre-hospital
EMS
Non-transport
Prediction
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