<?xml version="1.0" encoding="utf-8" ?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:r="https://r-universe.dev"><channel><title>epi-ymx.r-universe.dev</title><link>https://epi-ymx.r-universe.dev</link><description>Recent package updates in epi-ymx</description><generator>R-universe</generator><image><url>https://github.com/epi-ymx.png</url><title>R packages by epi-ymx</title><link>https://epi-ymx.r-universe.dev</link></image><lastBuildDate>Wed, 11 Mar 2026 13:53:17 GMT</lastBuildDate><item><title>[epiconcept-paris] ervissexplore 0.1.0</title><author>y.mansiaux@epiconcept.fr (Yohann Mansiaux)</author><description>Provides easy access to ERVISS (European Respiratory Virus
Surveillance Summary) data from the EU-ECDC
&lt;https://github.com/EU-ECDC/Respiratory_viruses_weekly_data&gt;.
Enables retrieval, filtering, and optional visualization of
data across European countries. Data is fetched directly from
the EU-ECDC Respiratory Viruses Weekly Data repository, with
support for both latest data and historical snapshots for
reproducible analyses.</description><link>https://github.com/r-universe/epiconcept-paris/actions/runs/37603068450</link><pubDate>Wed, 11 Mar 2026 13:53:17 GMT</pubDate><r:package>ervissexplore</r:package><r:version>0.1.0</r:version><r:status>success</r:status><r:repository>https://epiconcept-paris.r-universe.dev</r:repository><r:upstream>https://github.com/epiconcept-paris/ervissexplore</r:upstream><r:article><r:source>fetching-data.Rmd</r:source><r:filename>fetching-data.html</r:filename><r:title>Fetching ERVISS Data</r:title><r:created>2026-02-06 13:56:48</r:created><r:modified>2026-02-06 13:56:48</r:modified></r:article><r:article><r:source>visualization.Rmd</r:source><r:filename>visualization.html</r:filename><r:title>Visualization</r:title><r:created>2026-02-06 13:56:48</r:created><r:modified>2026-02-09 09:28:25</r:modified></r:article></item><item><title>[epiconcept-paris] vaccinationimpact 0.1.0</title><author>y.mansiaux@epiconcept.fr (Yohann Mansiaux)</author><description>Tools to estimate the impact of vaccination campaigns at
population level (number of events averted, number of avertable
events, number needed to vaccinate). Inspired by the
methodology proposed by Foppa et al. (2015)
&lt;doi:10.1016/j.vaccine.2015.02.042&gt; and Machado et al. (2019)
&lt;doi:10.2807/1560-7917.ES.2019.24.45.1900268&gt; for influenza
vaccination impact.</description><link>https://github.com/r-universe/epiconcept-paris/actions/runs/37289821700</link><pubDate>Mon, 09 Mar 2026 07:33:36 GMT</pubDate><r:package>vaccinationimpact</r:package><r:version>0.1.0</r:version><r:status>success</r:status><r:repository>https://epiconcept-paris.r-universe.dev</r:repository><r:upstream>https://github.com/epiconcept-paris/vaccinationimpact</r:upstream><r:article><r:source>vaccination_impact_estimates.Rmd</r:source><r:filename>vaccination_impact_estimates.html</r:filename><r:title>Vaccination campaign impact</r:title><r:created>2025-10-02 12:46:22</r:created><r:modified>2025-10-22 13:41:40</r:modified></r:article></item></channel></rss>