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<a class="navbar-brand me-2" href="index.html">AMR (for R)</a>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9050</small>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">2.1.1.9051</small>
<button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
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</h1>
</div>
<ul>
<li>Provides an <strong>all-in-one solution</strong> for AMR data analysis in a One Health approach</li>
<li>Used in over 175 countries, translated into 20 languages</li>
<li>Provides an <strong>all-in-one solution</strong> for antimicrobial resistance (AMR) data analysis in a One Health approach</li>
<li>Used in over 175 countries, available in 20 languages</li>
<li>Generates <strong>antibiograms</strong> - traditional, combined, syndromic, and even WISCA</li>
<li>Provides the <strong>full microbiological taxonomy</strong> and extensive info on <strong>all antimicrobial drugs</strong>
</li>
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<p>This work was published in the Journal of Statistical Software (Volume 104(3); <a href="https://doi.org/10.18637/jss.v104.i03" class="external-link">DOI 10.18637/jss.v104.i03</a>) and formed the basis of two PhD theses (<a href="https://doi.org/10.33612/diss.177417131" class="external-link">DOI 10.33612/diss.177417131</a> and <a href="https://doi.org/10.33612/diss.192486375" class="external-link">DOI 10.33612/diss.192486375</a>).</p>
<p>After installing this package, R knows <a href="./reference/microorganisms.html"><strong>~52,000 distinct microbial species</strong></a> (updated December 2022) and all <a href="./reference/antibiotics.html"><strong>~600 antibiotic, antimycotic and antiviral drugs</strong></a> by name and code (including ATC, EARS-Net, ASIARS-Net, PubChem, LOINC and SNOMED CT), and knows all about valid SIR and MIC values. The integral clinical breakpoint guidelines from CLSI and EUCAST are included, even with epidemiological cut-off (ECOFF) values. It supports and can read any data format, including WHONET data. This package works on Windows, macOS and Linux with all versions of R since R-3.0 (April 2013). <strong>It was designed to work in any setting, including those with very limited resources</strong>. It was created for both routine data analysis and academic research at the Faculty of Medical Sciences of the <a href="https://www.rug.nl" class="external-link">University of Groningen</a>, in collaboration with non-profit organisations <a href="https://www.certe.nl" class="external-link">Certe Medical Diagnostics and Advice Foundation</a> and <a href="https://www.umcg.nl" class="external-link">University Medical Center Groningen</a>.</p>
<div class="section level5">
<h5 id="used-in-over-175-countries-translated-into-20-languages">Used in over 175 countries, translated into 20 languages<a class="anchor" aria-label="anchor" href="#used-in-over-175-countries-translated-into-20-languages"></a>
<h5 id="used-in-over-175-countries-available-in-20-languages">Used in over 175 countries, available in 20 languages<a class="anchor" aria-label="anchor" href="#used-in-over-175-countries-available-in-20-languages"></a>
</h5>
<p><a href="./countries_large.png" target="_blank"><img src="./countries.png" align="right" style="max-width: 300px;"></a></p>
<p>Since its first public release in early 2018, this R package has been used in almost all countries in the world. Click the map to enlarge and to see the country names.</p>