Improving the Health Forecasting Alert System for Cold Weather and Heat-Waves In England: A Proof-of-Concept Using Temperature-Mortality Relationships

Objectives In this study a prototype of a new health forecasting alert system is developed, which is aligned to the approach used in the Met Office’s (MO) National Severe Weather Warning Service (NSWWS). This is in order to improve information available to responders in the health and social care system by linking temperatures more directly to risks of mortality, and developing a system more coherent with other weather alerts. The prototype is compared to the current system in the Cold Weather and Heatwave plans via a case-study approach to verify its potential advantages and shortcomings. Method The prototype health forecasting alert system introduces an “impact vs likelihood matrix” for the health impacts of hot and cold temperatures which is similar to those used operationally for other weather hazards as part of the NSWWS. The impact axis of this matrix is based on existing epidemiological evidence, which shows an increasing relative risk of death at extremes of outdoor temperature beyond a threshold which can be identified epidemiologically. The likelihood axis is based on a probability measure associated with the temperature forecast. The new method is tested for two case studies (one during summer 2013, one during winter 2013), and compared to the performance of the current alert system. Conclusions The prototype shows some clear improvements over the current alert system. It allows for a much greater degree of flexibility, provides more detailed regional information about the health risks associated with periods of extreme temperatures, and is more coherent with other weather alerts which may make it easier for front line responders to use. It will require validation and engagement with stakeholders before it can be considered for use.

[1]  W. Keatinge,et al.  Winter mortality and cold stress in Yekaterinburg, Russia: interview survey , 1998, BMJ.

[2]  M. Giacchi,et al.  Review Article: High temperatures and health outcomes: A review of the literature , 2010, Scandinavian journal of public health.

[3]  G. Meehl,et al.  More Intense, More Frequent, and Longer Lasting Heat Waves in the 21st Century , 2004, Science.

[4]  R. Kovats,et al.  Impact of the 2003 heat wave on mortality and hospital admissions , 2005 .

[5]  Mats Hamrud,et al.  The new ECMWF VAREPS (Variable Resolution Ensemble Prediction System) , 2007 .

[6]  S. Hajat,et al.  Association of mortality with high temperatures in a temperate climate: England and Wales , 2010, Journal of Epidemiology & Community Health.

[7]  K. Ebi,et al.  Heatwaves and health : guidance on warning-system development. , 2015 .

[8]  Sotiris Vardoulakis,et al.  Climate change effects on human health: projections of temperature-related mortality for the UK during the 2020s, 2050s and 2080s , 2014, Journal of Epidemiology & Community Health.

[9]  P. Lloyd-Sherlock,et al.  Population ageing in developed and developing regions: implications for health policy. , 2000, Social science & medicine.

[10]  S. Kovats,et al.  THE IMPACT OF THE 2003 HEAT WAVE ON MORTALITY AND HOSPITAL ADMISSIONS IN ENGLAND , 2004 .

[11]  Antonio Gasparrini,et al.  The Impact of Heat Waves on Mortality , 2011, Epidemiology.

[12]  M. Weijenberg,et al.  The impact of heat waves and cold spells on mortality rates in the Dutch population. , 2001, Environmental health perspectives.

[13]  Ken Mylne,et al.  Forecasting Capabilities for the London 2012 Olympics , 2014 .

[14]  B. Bates,et al.  Climate Risk Management , 2021, World Scientific Encyclopedia of Climate Change.

[15]  N. Verlander,et al.  Excess winter mortality: Method of calculating mortality attributed to influenza is disputed , 2002, BMJ : British Medical Journal.

[16]  E. Fischer,et al.  Robust spatially aggregated projections of climate extremes , 2013 .

[17]  Lukas H. Meyer,et al.  Summary for Policymakers , 2022, The Ocean and Cryosphere in a Changing Climate.

[18]  W. Tennant Improving initial condition perturbations for MOGREPS‐UK , 2015 .

[19]  M. Medina-Ramón,et al.  Temperature, temperature extremes, and mortality: a study of acclimatisation and effect modification in 50 US cities , 2007, Occupational and Environmental Medicine.

[20]  Michael Sharpe,et al.  Ensemble based first guess support towards a risk‐based severe weather warning service , 2014 .

[21]  Neill E. Bowler,et al.  The MOGREPS short‐range ensemble prediction system , 2008 .

[22]  Rupa Basu,et al.  Relation between elevated ambient temperature and mortality: a review of the epidemiologic evidence. , 2002, Epidemiologic reviews.

[23]  J. Räisänen,et al.  Cold months in a warming climate , 2011 .

[24]  T. Stocker,et al.  Managing the Risks of Extreme Events and Disasters to Advance Climate Change Adaptation. A Special Report of Working Groups I and II of IPCC Intergovernmental Panel on Climate Change , 2012 .