Dataset
Temperature-attributable mortality (and hospital admission) time series, UK (1900-2099)
Abstract
This dataset contains estimates of mortality and number of hospital admissions that can be attributed to temperature, from observations and climate projections, and includes some of the underlying climate data. The data are divided into the subdirectories ‘epi_model’, ‘HadUKgrid’, ‘London’, ‘regimes’, and ‘UKCP18’ as follows:
epi_model:
- Model fits of exposure-response relationships
HadUKgrid:
- Temperature-attributable mortality/hospital admission time series for the observed record (1981/1991-2018)
- List of the 10 highest mortality days from 1991 to 2018 based on UK-total temperature-related mortality
London:
- Average daily temperature by London boroughs simulated with an urban model, October 2015 to 2019
- Attributable hospital admission by London boroughs based on the above temperature time series
regimes:
- Weather regime and pattern classification for the observed record (1850/1979-2019)
UKCP18:
- Attributable mortality time series for UKCP18 climate projections (1900-2099)
Further details including file contents and methods can be found in the README.txt files for each dataset. This dataset was produced for the UK Climate Resilience Programme - Addressing the resilience needs of the UK health sector: climate service pilots.
Details
| Previous Info: |
No news update for this record
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| Previously used record identifiers: |
No related previous identifiers.
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| Access rules: |
Public data: access to these data is available to both registered and non-registered users.
Use of these data is covered by the following licence: http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/. When using these data you must cite them correctly using the citation given on the CEDA Data Catalogue record. |
| Data lineage: |
Mortality data was obtained from the Office for National Statistics, from the Northern Ireland Statistics and Research Agency and from the National Records of Scotland. NHS England and NHS Wales Informatics Service supplied the hospital admissions data to the Met Office who generated the necessary statistics. ERA5 reanalyses were obtained from Copernicus/ECMWF; HadUK-Grid, UKCP18 and weather regime data from the Met Office. All of these were analysed by the University of Reading who supplied the resulting data to the Met Office for archiving on the MEDMI (Medical and Environmental Data Mashup Infrastructure) platform at the University of Exeter, and at the Centre for Environmental Data Analysis (CEDA) |
| File Format: |
Data are provided in Comma Separated Values file (.csv) and R data file (*.Rds ) format.
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Related Documents
Process overview
| Title | Distributed Lag Non-linear Model (DLNM) |
| Abstract | Statistical regression using distributed lag non-linear model is fully described in Gasparrini, Armstrong and Kenward, 2010, and Vicedo-Cabrera, Sera and Gasparrini, 2019. - Mortality: temperature knots at 0.1, 0.75, 0.9 quantiles, 21 lag days. - Hospital admission: temperature knots at 0.4, 0.9 quantiles, 28 lag days. |
| Input Description | None |
| Output Description | None |
| Software Reference | None |
No variables found.
Temporal Range
1900-01-01T00:00:00
2099-12-31T23:59:59
Geographic Extent
60.9000° |
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-8.7000° |
1.8000° |
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49.9000° |