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<oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
  <dc:title>Statistical Tools for Modelling Climate-Health Impacts</dc:title>
  <dc:title>R package climatehealth version 1.0.0</dc:title>
  <dc:description>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
              &lt;https://climate-health.officialstatistics.org&gt;. For methodologies,
              see Watkins et al. (2025) &lt;doi:10.5281/zenodo.14865904&gt;,
              Brown et al. (2024) &lt;doi:10.5281/zenodo.14052183&gt;,
              Pearce et al. (2024) &lt;doi:10.5281/zenodo.14050224&gt;,
              Byukusenge et al. (2025) &lt;doi:10.5281/zenodo.15585042&gt;,
              Dzakpa et al. (2025) &lt;doi:10.5281/zenodo.14881886&gt;, and
              Dzakpa et al. (2025) &lt;doi:10.5281/zenodo.14871506&gt;.</dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Depends: R (&gt;= 4.4.0)</dc:relation>
  <dc:relation>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 (&gt;= 0.6-2), utils, xfun, zoo</dc:relation>
  <dc:relation>Suggests: covr, knitr, rmarkdown, devtools, DT, htmltools, INLA,
mockery, mvmeta, openxlsx, patrick, pkgload, stringdist, terra,
testthat (&gt;= 3.2.1.1), withr</dc:relation>
  <dc:creator>Kenechi Omeke &lt;climate.health@ons.gov.uk&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>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)</dc:contributor>
  <dc:rights>MIT + file LICENSE (https://CRAN.R-project.org/package=climatehealth/LICENSE)</dc:rights>
  <dc:date>2026-03-30</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=climatehealth</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.climatehealth</dc:identifier>
</oai_dc:dc>