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  "Title": "Statistical Tools for Modelling Climate-Health Impacts",
  "Version": "1.0.3",
  "Date": "2026-07-03",
  "Authors@R": "c(\nperson(\"Charlie\", \"Browning\", role = \"aut\"),\nperson(\"Kenechi\", \"Omeke\", email = \"climate.health@ons.gov.uk\", role = c(\"aut\", \"cre\")),\nperson(\"Etse Yawo\", \"Dzakpa\", role = \"aut\"),\nperson(\"Gladin\", \"Jose\", role = \"aut\"),\nperson(\"Matt\", \"Pearce\", role = \"aut\"),\nperson(\"Ellie\", \"Watkins\", role = \"aut\"),\nperson(\"Claire\", \"Hunt\", role = \"aut\"),\nperson(\"Beatrice\", \"Byukusenge\", role = \"aut\"),\nperson(\"Cassien\", \"Habyarimana\", role = \"aut\"),\nperson(\"Venuste\", \"Nyagahakwa\", role = \"aut\"),\nperson(\"Felix\", \"Scarbrough\", role = \"aut\"),\nperson(\"Treesa\", \"Shaji\", role = \"aut\"),\nperson(\"Bonnie\", \"Lewis\", role = \"aut\"),\nperson(\"Maquines Odhiambo\", \"Sewe\", role = \"aut\"),\nperson(\"Vijendra\", \"Ingole\", role = \"aut\"),\nperson(\"Sean\", \"Lovell\", role = \"ctb\"),\nperson(\"Antony\", \"Brown\", role = \"ctb\"),\nperson(\"Euan\", \"Soutter\", role = \"ctb\"),\nperson(\"Gillian\", \"Flower\", role = \"ctb\"),\nperson(\"David\", \"Furley\", role = \"ctb\"),\nperson(\"Joe\", \"Panes\", role = \"ctb\"),\nperson(\"Charlotte\", \"Romaniuk\", role = \"ctb\"),\nperson(\"Milly\", \"Powell\", role = \"ctb\"),\nperson(\"Wellcome\", role = \"fnd\"),\nperson(\"Office for National Statistics\", role = \"cph\",\ncomment = \"SOSCHI Project\")\n)",
  "Description": "Tools for producing climate-health indicators and\nsupporting official statistics from health and climate data.\nImplements analytical workflows for temperature-related\nmortality, wildfire smoke exposure, air pollution, suicides\nrelated to extreme heat, malaria, and diarrhoeal disease\noutcomes, with utilities for descriptive statistics, model\nvalidation, attributable fraction and attributable number\nestimation, relative risk estimation, minimum mortality\ntemperature estimation, and plotting for reporting. These six\nindicators are endorsed by the United Nations Statistical\nCommission for inclusion in the Global Set of Environment and\nClimate Change Statistics. Implemented methods include\ndistributed lag non-linear models (DLNM), quasi-Poisson\ntime-series regression, case-crossover analysis, Bayesian\nspatio-temporal models using the Integrated Nested Laplace\nApproximation ('INLA'), and multivariate meta-analysis for\nsub-national estimates. The package is based on methods\ndeveloped in the Standards for Official Statistics on\nClimate-Health Interactions (SOSCHI) project\n<https://climate-health.officialstatistics.org>. For\nmethodologies, see Watkins et al. (2026)\n<doi:10.5281/zenodo.14865904>, Jose et al. (2026)\n<doi:10.5281/zenodo.14052183>, Pearce et al. (2026)\n<doi:10.5281/zenodo.14050224>, Byukusenge et al. (2026)\n<doi:10.5281/zenodo.15585042>, Dzakpa et al. (2026)\n<doi:10.5281/zenodo.14881886>, and Dzakpa et al. (2026)\n<doi:10.5281/zenodo.14871506>.",
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  "Author": "Charlie Browning [aut], Kenechi Omeke [aut, cre], Etse Yawo\nDzakpa [aut], Gladin Jose [aut], Matt Pearce [aut], Ellie\nWatkins [aut], Claire Hunt [aut], Beatrice Byukusenge [aut],\nCassien Habyarimana [aut], Venuste Nyagahakwa [aut], Felix\nScarbrough [aut], Treesa Shaji [aut], Bonnie Lewis [aut],\nMaquines Odhiambo Sewe [aut], Vijendra Ingole [aut], Sean\nLovell [ctb], Antony Brown [ctb], Euan Soutter [ctb], Gillian\nFlower [ctb], David Furley [ctb], Joe Panes [ctb], Charlotte\nRomaniuk [ctb], Milly Powell [ctb], Wellcome [fnd], Office for\nNational Statistics [cph] (SOSCHI Project)",
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  "Date/Publication": "2026-07-05 18:50:02 UTC",
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