Tools for producing climate-health indicators and supporting
official statistics from health and climate data. Implements analytical
workflows for temperature-related mortality, wildfire smoke exposure,
air pollution, suicides related to extreme heat, malaria, and
diarrhoeal disease outcomes, with utilities for descriptive statistics, model
validation, attributable fraction and attributable number estimation,
relative risk estimation, minimum mortality temperature estimation,
and plotting for reporting. These six indicators are endorsed by
the United Nations Statistical Commission for inclusion in the
Global Set of Environment and Climate Change Statistics.
Implemented methods include distributed lag non-linear models (DLNM),
quasi-Poisson time-series regression, case-crossover analysis,
Bayesian spatio-temporal models using the Integrated Nested Laplace
Approximation ('INLA'), and multivariate meta-analysis for
sub-national estimates. The package is based on methods developed
in the Standards for Official Statistics on Climate-Health
Interactions (SOSCHI) project
<https://climate-health.officialstatistics.org>. For methodologies,
see Watkins et al. (2025) <doi:10.5281/zenodo.14865904>,
Brown et al. (2024) <doi:10.5281/zenodo.14052183>,
Pearce et al. (2024) <doi:10.5281/zenodo.14050224>,
Byukusenge et al. (2025) <doi:10.5281/zenodo.15585042>,
Dzakpa et al. (2025) <doi:10.5281/zenodo.14881886>, and
Dzakpa et al. (2025) <doi:10.5281/zenodo.14871506>.
| Version: |
1.0.0 |
| Depends: |
R (≥ 4.4.0) |
| Imports: |
car, data.table, dlnm, dplyr, Epi, forcats, exactextractr, ggplot2, ggtext, gnm, graphics, grDevices, gplots, lifecycle, lme4, lubridate, metafor, mgcv, mixmeta, ncdf4, patchwork, pkgbuild, purrr, raster, RColorBrewer, readr, readxl, reshape2, rlang, scales, sf, spdep, splines, stats, stringr, tibble, tidyr, tools, tseries, tsModel (≥ 0.6-2), utils, xfun, zoo |
| Suggests: |
covr, knitr, rmarkdown, devtools, DT, htmltools, INLA, mockery, mvmeta, openxlsx, patrick, pkgload, stringdist, terra, testthat (≥ 3.2.1.1), withr |
| Published: |
2026-03-30 |
| DOI: |
10.32614/CRAN.package.climatehealth (may not be active yet) |
| Author: |
Charlie Browning [aut],
Kenechi Omeke [aut, cre],
Etse Yawo Dzakpa [aut],
Gladin Jose [aut],
Matt Pearce [aut],
Ellie Watkins [aut],
Claire Hunt [aut],
Beatrice Byukusenge [aut],
Cassien Habyarimana [aut],
Venuste Nyagahakwa [aut],
Felix Scarbrough [aut],
Treesa Shaji [aut],
Bonnie Lewis [aut],
Maquines Odhiambo Sewe [aut],
Vijendra Ingole [aut],
Sean Lovell [ctb],
Antony Brown [ctb],
Euan Soutter [ctb],
Gillian Flower [ctb],
David Furley [ctb],
Joe Panes [ctb],
Charlotte Romaniuk [ctb],
Milly Powell [ctb],
Wellcome [fnd],
Office for National Statistics [cph] (SOSCHI Project) |
| Maintainer: |
Kenechi Omeke <climate.health at ons.gov.uk> |
| License: |
MIT + file LICENSE |
| URL: |
https://climate-health.officialstatistics.org |
| NeedsCompilation: |
no |
| Additional_repositories: |
https://inla.r-inla-download.org/R/stable/ |
| Citation: |
climatehealth citation info |
| Materials: |
README, NEWS |
| CRAN checks: |
climatehealth results [issues need fixing before 2026-04-14] |