<?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>epiconcept-paris.r-universe.dev</title><link>https://epiconcept-paris.r-universe.dev</link><description>Recent package updates in epiconcept-paris</description><generator>R-universe</generator><image><url>https://github.com/epiconcept-paris.png</url><title>R packages by epiconcept-paris</title><link>https://epiconcept-paris.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/29000083400</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/28850345166</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><item><title>[epiconcept-paris] EpiReport 1.0.4</title><author>l.merdrignac@epiconcept.fr (Lore Merdrignac)</author><description>Drafting an epidemiological report in 'Microsoft Word'
format for a given disease, similar to the Annual
Epidemiological Reports published by the European Centre for
Disease Prevention and Control. Through standalone functions,
it is specifically designed to generate each disease specific
output presented in these reports and includes: - Table with
the distribution of cases by Member State over the last five
years; - Seasonality plot with the distribution of cases at the
European Union / European Economic Area level, by month, over
the past five years; - Trend plot with the trend and number of
cases at the European Union / European Economic Area level, by
month, over the past five years; - Age and gender bar graph
with the distribution of cases at the European Union / European
Economic Area level. Two types of datasets can be used: - The
default dataset of dengue 2015-2019 data; - Any dataset
specified as described in the vignette.</description><link>https://github.com/r-universe/epiconcept-paris/actions/runs/29227821448</link><pubDate>Fri, 02 May 2025 08:42:22 GMT</pubDate><r:package>EpiReport</r:package><r:version>1.0.4</r:version><r:status>success</r:status><r:repository>https://epiconcept-paris.r-universe.dev</r:repository><r:upstream>https://github.com/epiconcept-paris/epireport</r:upstream><r:article><r:source>EpiReport_Vignette.Rmd</r:source><r:filename>EpiReport_Vignette.html</r:filename><r:title>The 'Epidemiological Report' Package</r:title><r:created>2018-10-19 09:04:57</r:created><r:modified>2025-04-25 08:49:50</r:modified></r:article></item></channel></rss>