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Domain > www.mrsapdc.info
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More information on this domain is in
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DNS Resolutions
Date
IP Address
2025-04-07
172.104.235.74
(
ClassC
)
Port 80
HTTP/1.1 301 Moved PermanentlyServer: nginx/1.21.1Date: Mon, 25 Nov 2024 20:53:05 GMTContent-Type: text/htmlContent-Length: 169Connection: keep-aliveLocation: https://www.mrsapdc.info/ html>head>title>301 Moved Permanently/title>/head>body>center>h1>301 Moved Permanently/h1>/center>hr>center>nginx/1.21.1/center>/body>/html>
Port 443
HTTP/1.1 200 OKServer: nginx/1.21.1Date: Mon, 25 Nov 2024 20:53:05 GMTContent-Type: text/html; charsetUTF-8Content-Length: 2481Connection: keep-aliveVary: Accept-Encoding !DOCTYPE html PUBLIC -//W3C//DTD XHTML 1.0 Strict//EN http://www.w3.org/TR/xhtml1/DTD/xhtml1-strict.dtd>html xmlnshttp://www.w3.org/1999/xhtml>head>title>PDC Model MRSA/title>meta http-equivContent-Language contentEnglish />meta http-equivContent-Type contenttext/html; charsetUTF-8 />link relstylesheet typetext/css hrefpdc_style.css mediascreen />link relstylesheet typetext/css hrefpdc_jquery-ui.css />link relshortcut icon typeimage/x-icon hrefmrsapdc.ico>script srcpdc_jquery-ui.min.js>/script>script srcpdc_jquery.min.js>/script>script srcpdc.js>/script>/head>body>div idwrap>div idheader>h1>Predict probabilities of MRSA carriage in hospital admissions/h1>h2>A follow-up to our a hrefhttp://www.biomedcentral.com/1471-2334/13/111 target_blank titleDownload the paper from BMC Infectious Diseases>paper in BMC Infectious Diseases/a>/h2>/div>div idmenu>div idnavig>ul>li>a hrefindex.php titleView a screencast explaining the use of our model>Introduction/a>/li>li>a hrefcgi-bin/R/pdc titleUse our model to predict probability of MRSA carriage and expected PPV of a rapid test>Try it out!/a>/li>li>a hrefabout.php titleDisclaimer and information regarding the use of this site>About this site/a>/li>/ul>/div>/div>div classwide>h2>Introduction/h2>Methicillin-resistant em>Staphylococcus aureus/em> (MRSA) is an antibiotic-resistant bacterium that is carried on the skin or in the nose by some persons. In susceptibleindividuals it can cause potentially life-threatening infections (e.g. pneumonia, sepsis). This website is a demonstration of a published model. It shows that the probability of carriage can indeed be predicted using personal attributes such as age. Please watch the introductory screencast (3:46) to get acquainted with the tool presented on this site:div idtutvid>iframe src//player.vimeo.com/video/107593124?title0&byline0&portrait0 width500 height361 frameborder0 webkitallowfullscreen mozallowfullscreen allowfullscreen>/iframe>/div>To study the prediction model in more detail, please download the R package mrsapdc
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