| Literature DB >> 12461605 |
Abstract
Global climate change will have direct impacts on human health, including increased mortality due to heat stress and heat waves. An empirical-statistical model for heat stress is constructed for the city of Lisbon using the June-August months of the observational period 1980-1998. The model uses the regression of an aggregate dose-response relationship between maximum temperature and excess heat-related deaths, based on the difference between observed and expected deaths. The model is validated by correlation and residual analysis. The mean annual heat-related mortality for the period 1980-1998 was between 5.4 and 6 deaths per 100,000 depending on the method used to calculate expected deaths. Both validation methods show that the model has a moderate to high accuracy in modelling heat-related deaths compared to the observed record.Entities:
Mesh:
Year: 2002 PMID: 12461605 DOI: 10.1007/s00484-002-0143-1
Source DB: PubMed Journal: Int J Biometeorol ISSN: 0020-7128 Impact factor: 3.787