UCL Discovery Stage
UCL home » Library Services » Electronic resources » UCL Discovery Stage

Modelling the association between weather and short-term demand for children’s intensive care transport services during winter in the South East of England

Livingstone, S; Pagel, C; Shao, Z; Randle, E; Ramnarayan, P; (2021) Modelling the association between weather and short-term demand for children’s intensive care transport services during winter in the South East of England. Operations Research for Health Care , 31 , Article 100327. 10.1016/j.orhc.2021.100327. Green open access

[thumbnail of CATS_resubmission4.pdf]
Preview
Text
CATS_resubmission4.pdf - Accepted Version

Download (867kB) | Preview

Abstract

Data from a paediatric intensive care transport service based in the South East of England between 2006 and 2018 are studied using generalized additive models to investigate the effects of extreme weather on demand in winter. Noticeable increases in daily demand for the service are uncovered after periods of extreme weather, and can be partitioned into two characteristically different phenomena, most pronounced at 2 days and 7 days after a period of particularly low temperature combined with either high or low humidity. The effect is more visible when virus prevalence is accounted for, showing that demand can increase by as much as 30% 7 days after a period of low temperature and low humidity, and 20% 2 days after a period of low temperature and high humidity.

Type: Article
Title: Modelling the association between weather and short-term demand for children’s intensive care transport services during winter in the South East of England
Open access status: An open access version is available from UCL Discovery
DOI: 10.1016/j.orhc.2021.100327
Publisher version: https://doi.org/10.1016/j.orhc.2021.100327
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher's terms and conditions.
Keywords: Demand forecasting, Paediatric intensive care transport services, Generalized additive models
UCL classification: UCL
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > UCL GOS Institute of Child Health
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > UCL GOS Institute of Child Health > Infection, Immunity and Inflammation Dept
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences > Dept of Mathematics
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences > Dept of Mathematics > Clinical Operational Research Unit
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences > Dept of Statistical Science
URI: https://discovery-pp.ucl.ac.uk/id/eprint/10137966
Downloads since deposit
1,520Downloads
Download activity - last month
Download activity - last 12 months
Downloads by country - last 12 months

Archive Staff Only

View Item View Item