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Improving the Health Forecasting Alert System for Cold Weather and Heat-Waves In England: A Proof-of-Concept Using Temperature-Mortality Relationships
Authors:Giacomo Masato  Angie Bone  Andrew Charlton-Perez  Sean Cavany  Robert Neal  Rutger Dankers  Helen Dacre  Katie Carmichael  Virginia Murray
Institution:1 University of Reading, Meteorology Dept., Earley Gate, Reading, United Kingdom, ; 2 Public Health England, Dept. of Health, Waterloo Rd, London, United Kingdom, ; 3 Met Office, FitzRoy Road, Exeter, United Kingdom, ; The Ohio State University, UNITED STATES,
Abstract:ObjectivesIn 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.MethodThe 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.ConclusionsThe 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.
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