| Title |
Heat stress and mortality in Lisbon Part I. model construction and validation
|
|---|---|
| Published in |
International Journal of Biometeorology, August 2002
|
| DOI | 10.1007/s00484-002-0143-1 |
| Pubmed ID | |
| Authors |
Suraje Dessai |
| 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. |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 25% |
| Unknown | 3 | 75% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 75% |
| Scientists | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 86 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 2 | 2% |
| Germany | 1 | 1% |
| Malaysia | 1 | 1% |
| Canada | 1 | 1% |
| Korea, Republic of | 1 | 1% |
| United States | 1 | 1% |
| Unknown | 79 | 92% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 25 | 29% |
| Student > Ph. D. Student | 23 | 27% |
| Student > Master | 14 | 16% |
| Professor > Associate Professor | 4 | 5% |
| Professor | 4 | 5% |
| Other | 9 | 10% |
| Unknown | 7 | 8% |
| Readers by discipline | Count | As % |
|---|---|---|
| Environmental Science | 23 | 27% |
| Earth and Planetary Sciences | 11 | 13% |
| Medicine and Dentistry | 9 | 10% |
| Engineering | 7 | 8% |
| Social Sciences | 5 | 6% |
| Other | 14 | 16% |
| Unknown | 17 | 20% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 01 August 2018.
All research outputs
#6,443,044
of 25,371,288 outputs
Outputs from International Journal of Biometeorology
#633
of 1,398 outputs
Outputs of similar age
#14,071
of 48,278 outputs
Outputs of similar age from International Journal of Biometeorology
#3
of 4 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 1,398 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.6. This one has gotten more attention than average, scoring higher than 54% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 48,278 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 70% of its contemporaries.
We're also able to compare this research output to 4 others from the same source and published within six weeks on either side of this one.