ERF for heat exposure and morbidity
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Contents
Scope
Exposure-response relationship for short-term ambient heat exposure and morbidity.
Dimensions and boundaries relevant for the variable
- Cause of morbidity
- Country/other geographic area (differences in heat exposure/effects due to climate, physiological, cultural or behavioral factors)
- Age of exposed population
Definition
Data
PHEWE-project [1]
Percentage change (95% Cl) of hospital admissions for respiratory causes due to 1ºC increase over 90th percentile of maximum apparent temperature (lag 0-3 days).
| Mediterranean cities | North-Continental cities | |
| All ages | 2.1 (0.6,3.6) | 1.2 (0.1, 2.2) |
| 65-74 | -0.3 (-4.1, 3.6) | 2.7 (-0.3, 6.0) |
| 75+ | 4.5 (1.9, 7.3) | 3.1 (0.8, 5.5) |
- Summary estimates from
- Mediterranean: Barcelona, Ljubljana, Milan, Rome, Turin, Valencia
- North-Continental: Budapest, Dublin, London, Paris, Stockholm, Zurich
- Analysis restricted to the warm period, April-September
- 90th percentile of apparent maximum temperature (ºC)
- Barcelona 30.8
- Budapest 28.9
- Dublin 19.7
- Ljubljana 27.3
- London 24.6
- Milan 33.8
- Paris 27.8
- Rome 34.5
- Stockholm 22.8
- Turin 31.2
- Valencia 36.4
Causality
Unit
Formula
Result
See also
References
- ↑ Michelozzi P., Accetta G., De Sario M., D'Ippoliti D., Marino C., Baccini M., Biggeri A., Anderson H.R., Katsoyanni K., Ballester F., Bisanti L., Cadum E., Forsberg B., Forastiere F., Goodman P.G., Hojs A., Kirchmayer U., Medina S., Paldy A., Schindler C., Sunyer J. & Perucci C.A. High Temperature and Hospitalizations for Cardiovascular and Respiratory Causes in 12 European Cities. An J Respir Crit Care Med 2009, 179: 383-389.
