climatehealth

climatehealth-package

<div class="section" id="overview">
<h3>Overview</h3>
This package provides a suite of analysis functions for measuring the relationship
between various climate factors (indicators) and health outcomes.
</div><div class="section" id="included-indicators">
<h3>Included Indicators</h3></div><ul>
<li>Mortality attributable to high and low outdoor temperatures</li>
<li>Mortality attributable to wildfire-related PM2.5</li>
<li>Suicides attributable to extreme heat</li>
<li>Mortality attributable to short-term exposure to outdoor PM2.5 exposure</li>
<li>Diarrhea cases attributable to extreme temperatures and rainfall</li>
<li>Malaria cases attributable to extreme temperatures and rainfall</li>
</ul><div class="section" id="license">
<h3>License</h3></div>
MIT
<div class="section" id="the-full-range-of-topics-include">
<h3>The full range of topics include</h3></div><ul>
<li>Temperature-related health effects</li>
<li>Health effects of wildfires</li>
<li>Mental Health</li>
<li>Health effects of air pollution</li>
<li>Water-borne diseases</li>
<li>Vector-borne diseases</li>
</ul>

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>.

Kenechi Omeke

Statistical Tools for Modelling Climate-Health Impacts

Charlie Browning

Etse Yawo Dzakpa

Gladin Jose

Matt Pearce

Ellie Watkins

Claire Hunt

Beatrice Byukusenge

Cassien Habyarimana

Venuste Nyagahakwa

Felix Scarbrough

Treesa Shaji

Bonnie Lewis

Maquines Odhiambo Sewe

Vijendra Ingole

Sean Lovell

Antony Brown

Euan Soutter

Gillian Flower

David Furley

Joe Panes

Charlotte Romaniuk

Milly Powell

Wellcome 

Office for National Statistics 

climatehealth-package function

Maintainer: Kenechi Omeke <a href="/link/climate.health%40ons.gov.uk?package=climatehealth&version=1.0.0" data-mini-rdoc="climatehealth::climate.health@ons.gov.uk">climate.health@ons.gov.uk</a>
Authors:<ul>
<li>Charlie Browning</li>
<li>Etse Yawo Dzakpa</li>
<li>Gladin Jose</li>
<li>Matt Pearce</li>
<li>Ellie Watkins</li>
<li>Claire Hunt</li>
<li>Beatrice Byukusenge</li>
<li>Cassien Habyarimana</li>
<li>Venuste Nyagahakwa</li>
<li>Felix Scarbrough</li>
<li>Treesa Shaji</li>
<li>Bonnie Lewis</li>
<li>Maquines Odhiambo Sewe</li>
<li>Vijendra Ingole</li>
</ul>Other contributors:<ul>
<li>Sean Lovell [contributor]</li>
<li>Antony Brown [contributor]</li>
<li>Euan Soutter [contributor]</li>
<li>Gillian Flower [contributor]</li>
<li>David Furley [contributor]</li>
<li>Joe Panes [contributor]</li>
<li>Charlotte Romaniuk [contributor]</li>
<li>Milly Powell [contributor]</li>
<li>Wellcome [funder]</li>
<li>Office for National Statistics (SOSCHI Project) [copyright holder]</li>
</ul>

Author

<div class='section' id='overview'>
<h3>Overview</h3>


This package provides a suite of analysis functions for measuring the relationship
between various climate factors (indicators) and health outcomes.
</div>

<div class='section' id='included-indicators'>
<h3>Included Indicators</h3>

<ul>
<li>Mortality attributable to high and low outdoor temperatures</li>
<li>Mortality attributable to wildfire-related PM2.5</li>
<li>Suicides attributable to extreme heat</li>
<li>Mortality attributable to short-term exposure to outdoor PM2.5 exposure</li>
<li>Diarrhea cases attributable to extreme temperatures and rainfall</li>
<li>Malaria cases attributable to extreme temperatures and rainfall</li>
</ul>

</div>

<div class='section' id='license'>
<h3>License</h3>


MIT
</div>

<div class='section' id='the-full-range-of-topics-include'>
<h3>The full range of topics include</h3>

<ul>
<li>Temperature-related health effects</li>
<li>Health effects of wildfires</li>
<li>Mental Health</li>
<li>Health effects of air pollution</li>
<li>Water-borne diseases</li>
<li>Vector-borne diseases</li>
</ul>

</div>

climatehealth: Statistical Tools for Modelling Climate-Health Impacts — climatehealth-package

Maintainer: Kenechi Omeke <a href='mailto:climate.health@ons.gov.uk'>climate.health@ons.gov.uk</a>
Authors:<ul>
<li>Charlie Browning</li>
<li>Etse Yawo Dzakpa</li>
<li>Gladin Jose</li>
<li>Matt Pearce</li>
<li>Ellie Watkins</li>
<li>Claire Hunt</li>
<li>Beatrice Byukusenge</li>
<li>Cassien Habyarimana</li>
<li>Venuste Nyagahakwa</li>
<li>Felix Scarbrough</li>
<li>Treesa Shaji</li>
<li>Bonnie Lewis</li>
<li>Maquines Odhiambo Sewe</li>
<li>Vijendra Ingole</li>
</ul>

Other contributors:<ul>
<li>Sean Lovell [contributor]</li>
<li>Antony Brown [contributor]</li>
<li>Euan Soutter [contributor]</li>
<li>Gillian Flower [contributor]</li>
<li>David Furley [contributor]</li>
<li>Joe Panes [contributor]</li>
<li>Charlotte Romaniuk [contributor]</li>
<li>Milly Powell [contributor]</li>
<li>Wellcome [funder]</li>
<li>Office for National Statistics (SOSCHI Project) [copyright holder]</li>
</ul>

climatehealth: Statistical Tools for Modelling Climate-Health Impacts

climatehealth-package: climatehealth: Statistical Tools for Modelling Climate-Health Impacts

Description

Overview

Included Indicators

License

The full range of topics include

Arguments

Author

See Also