Next Article in Journal
Simulation and Analysis of the Initiation of a Squall Line within a Meiyu Frontal System in East China
Next Article in Special Issue
Estimating the Influence of Housing Energy Efficiency and Overheating Adaptations on Heat-Related Mortality in the West Midlands, UK
Previous Article in Journal
Carbonaceous Aerosols in the Atmosphere
Previous Article in Special Issue
Thermal Conditions in the City of Poznań (Poland) during Selected Heat Waves
Article Menu
Issue 5 (May) cover image

Export Article

Open AccessArticle
Atmosphere 2018, 9(5), 182; https://doi.org/10.3390/atmos9050182

Ambulance Service Resource Planning for Extreme Temperatures: Analysis of Ambulance 999 Calls during Episodes of Extreme Temperature in London, UK

1
Department of Public Health, Environments and Society, Faculty of Public Health and Policy, London School of Hygiene and Tropical Medicine, 15-17 Tavistock Place, WC1H 9SH London, UK
2
School of Geography, Earth and Environmental Sciences, University of Birmingham, B15 2TT Birmingham, UK
3
Chemicals and Environmental Effects Department, Centre for Radiation, Chemical and Environmental Hazards, Public Health England, Chilton, OX11 0RQ Oxon, UK
*
Author to whom correspondence should be addressed.
Received: 18 March 2018 / Revised: 2 May 2018 / Accepted: 8 May 2018 / Published: 11 May 2018
(This article belongs to the Special Issue Impacts of Climate Change on Human Health)
View Full-Text   |   Download PDF [3146 KB, uploaded 11 May 2018]   |  

Abstract

The association between episodes of extreme temperature and ambulance 999 calls has not yet been properly quantified. In this study we propose a statistical physics-based method to estimate the true mean number of ambulance 999 calls during episodes of extreme temperatures. Simple arithmetic mean overestimates the true number of calls during such episodes. Specifically, we apply the physics-based framework of nonextensive statistical mechanics (NESM) for estimating the probability distribution of extreme events to model the positive daily variation of ambulance calls. In addition, we combine NESM with the partitioned multiobjective method (PMRM) to determine the true mean of the positive daily difference of calls during periods of extreme temperature. We show that the use of the standard mean overestimates the true mean number of ambulance calls during episodes of extreme temperature. It is important to correctly estimate the mean value of ambulance 999 calls during such episodes in order for the ambulance service to efficiently manage their resources. View Full-Text
Keywords: ambulance 999 calls; extreme weather; resource planning; London; UK ambulance 999 calls; extreme weather; resource planning; London; UK
Figures

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

Share & Cite This Article

MDPI and ACS Style

Papadakis, G.; Chalabi, Z.; Thornes, J.E. Ambulance Service Resource Planning for Extreme Temperatures: Analysis of Ambulance 999 Calls during Episodes of Extreme Temperature in London, UK. Atmosphere 2018, 9, 182.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Atmosphere EISSN 2073-4433 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top