<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>humanitarian | OJ Watson</title><link>https://ojwatson.co.uk/tags/humanitarian/</link><atom:link href="https://ojwatson.co.uk/tags/humanitarian/index.xml" rel="self" type="application/rss+xml"/><description>humanitarian</description><generator>Source Themes Academic (https://sourcethemes.com/academic/)</generator><language>en-us</language><copyright>© 2026 OJ Watson</copyright><lastBuildDate>Mon, 16 Feb 2026 00:00:00 +0000</lastBuildDate><image><url>https://ojwatson.co.uk/img/headers/newyork.jpg</url><title>humanitarian</title><link>https://ojwatson.co.uk/tags/humanitarian/</link></image><item><title>Humanitarian modelling: forecast evaluation and policy translation</title><link>https://ojwatson.co.uk/2026/02/16/humanitarian-forecast-evaluation-policy/</link><pubDate>Mon, 16 Feb 2026 00:00:00 +0000</pubDate><guid>https://ojwatson.co.uk/2026/02/16/humanitarian-forecast-evaluation-policy/</guid><description>&lt;p>A continuing focus is improving how epidemic forecasts are evaluated and interpreted for policy decisions in resource-constrained and crisis contexts.&lt;/p>
&lt;ul>
&lt;li>medRxiv preprint: &lt;a href="https://doi.org/10.1101/2025.08.11.25333414">https://doi.org/10.1101/2025.08.11.25333414&lt;/a>&lt;/li>
&lt;li>SocArXiv perspective: &lt;a href="https://doi.org/10.31235/osf.io/tcjqs_v1">https://doi.org/10.31235/osf.io/tcjqs_v1&lt;/a>&lt;/li>
&lt;li>Related tools: &lt;a href="https://ojwatson.co.uk/project/vrcmort/">vrcmort&lt;/a> and &lt;a href="https://ojwatson.co.uk/project/vpdsus/">vpdsus&lt;/a>&lt;/li>
&lt;/ul>
&lt;p>These outputs sit alongside ongoing work on mortality estimation, vaccine-preventable disease risk, cholera anticipatory action, and the translation of model evidence into humanitarian decision-making.&lt;/p>
&lt;p>See the &lt;a href="https://ojwatson.co.uk/research/#humanitarian-evidence-for-humanitarian-operations">Humanitarian evidence for humanitarian operations&lt;/a> section for context.&lt;/p></description></item><item><title>vpdsus</title><link>https://ojwatson.co.uk/project/vpdsus/</link><pubDate>Tue, 02 Dec 2025 10:00:00 +0000</pubDate><guid>https://ojwatson.co.uk/project/vpdsus/</guid><description>&lt;p>&lt;code>vpdsus&lt;/code> is an R package for estimating susceptibility to vaccine-preventable diseases and linking these estimates to outbreak risk under different scenarios.&lt;/p>
&lt;p>It is used in preparedness and crisis-response analyses where rapid prioritisation is needed.&lt;/p></description></item><item><title>vrcmort</title><link>https://ojwatson.co.uk/project/vrcmort/</link><pubDate>Mon, 01 Dec 2025 10:00:00 +0000</pubDate><guid>https://ojwatson.co.uk/project/vrcmort/</guid><description>&lt;p>&lt;code>vrcmort&lt;/code> implements hierarchical Bayesian models for estimating mortality from partial and under-reported registration data.&lt;/p>
&lt;p>This tool supports ongoing humanitarian and crisis-mortality workstreams, including rapid assessment settings where reporting completeness is uncertain.&lt;/p></description></item></channel></rss>